City/State Virginia Beach, VA Work Shift Multiple shifts available Overview: Sentara is hiring a Senior MLOps & Generative AI Engineer! This position is fully remote! Candidates must reside in one of the following states: Alabama, Delaware, Florida, Georgia, Idaho, Indiana, Kansas, Louisiana, Maine, Maryland, Minnesota, Nebraska, Nevada, New Hampshire, North Dakota, Ohio, Oklahoma, Pennsylvania, South Carolina, South Dakota, Tennessee, Texas, Utah, Washington, West Virginia, Wisconsin, or Wyoming. Overview We are seeking a highly skilled and experienced Senior MLOps & Generative AI Engineer to join our growing AI organization and help advance current and future initiatives applying machine learning, deep learning, NLP, and Generative AI technologies to improve healthcare outcomes and operational excellence. This role combines two critical focus areas: MLOps Engineering - building and scaling enterprise-grade ML infrastructure, deployment pipelines, observability, governance, and automation capabilities. Generative AI Engineering - designing, architecting, deploying, and optimizing secure, production-ready GenAI applications and platforms leveraging LLMs, RAG architectures, vector databases, prompt orchestration, and AI evaluation frameworks. As a Senior Engineer, you will partner closely with AI Scientists, Data Engineers, Software Engineers, Architects, and Product teams to operationalize AI/ML and Generative AI solutions at enterprise scale. You will play a key role in shaping the organization's AI platform strategy, driving best practices, and delivering scalable, secure, and reliable AI systems in production healthcare environments. Key Responsibilities MLOps Engineering Responsibilities Design, build, and maintain scalable ML infrastructure and pipelines supporting model training, deployment, monitoring, governance, and lifecycle management. Develop and optimize CI/CD pipelines for machine learning and AI workloads across development, staging, and production environments. Build reusable ML platform capabilities including feature stores, model registries, experimentation frameworks, artifact management, and deployment automation. Implement scalable orchestration and workflow solutions for batch and real-time ML inference workloads. Create robust monitoring systems to measure model performance, detect model drift, monitor data quality, and ensure production reliability. Develop automation tools and self-service capabilities to improve the efficiency, scalability, and reliability of MLOps processes. Collaborate with Data Scientists and Software Engineers to streamline the ML lifecycle from experimentation through enterprise production deployment. Apply software engineering best practices to AI/ML systems including testing, observability, resiliency, security, versioning, and infrastructure-as-code. Identify gaps and improvement opportunities within the organization's ML platform ecosystem and architect scalable solutions to address them. Support enterprise AI governance, compliance, auditability, and model risk management requirements. Ensure platform scalability, reliability, security, and operational excellence across AI/ML systems. Generative AI Engineering Responsibilities Lead the architecture, design, and deployment of enterprise Generative AI solutions leveraging LLMs, foundation models, and agentic AI systems. Design and implement Retrieval-Augmented Generation (RAG) pipelines using vector databases, embeddings, semantic search, reranking, and retrieval optimization strategies. Build scalable LLM orchestration frameworks using technologies such as LangChain, LlamaIndex, Semantic Kernel, or equivalent frameworks. Develop advanced prompt engineering strategies, prompt chaining, context management, and agent workflows to improve LLM accuracy and reliability. Evaluate and implement fine-tuning, parameter-efficient tuning, and prompt-based optimization approaches for domain-specific use cases. Build AI evaluation and benchmarking frameworks to measure hallucination rates, response quality, grounding accuracy, toxicity, bias, latency, and business performance metrics. Implement AI safety guardrails, governance controls, content filtering, and responsible AI practices for enterprise healthcare environments. Design scalable GenAI APIs and microservices supporting high-throughput enterprise AI applications. Optimize GenAI systems for cost, latency, throughput, and inference performance across cloud and hybrid environments. Integrate enterprise data sources, healthcare systems, and knowledge repositories into secure GenAI workflows. Research and evaluate emerging GenAI technologies, open-source frameworks, and foundation models to drive innovation and continuous improvement. Develop architecture diagrams, technical roadmaps, implementation strategies, and executive-level documentation for enterprise AI initiatives. Collaborate with cybersecurity, compliance, and infrastructure teams to ensure secure and compliant deployment of GenAI solutions involving PHI and sensitive healthcare data. Contribute to the development of AI platform standards, reusable GenAI accelerators, templates, and engineering best practices. Required Qualifications 5+ years of experience building and deploying production software, ML systems, or AI platforms. 1+ years of hands-on experience building production Generative AI or LLM-based applications. Strong programming skills in Python and experience with software engineering best practices. Experience with major deep learning and LLM frameworks such as PyTorch, Hugging Face Transformers, TensorFlow, or equivalent. Hands-on experience implementing RAG architectures, vector search, embeddings, prompt engineering, and LLM orchestration frameworks. Experience with vector databases such as Pinecone, Weaviate, Chroma, FAISS, Milvus, or equivalent technologies. Experience deploying AI/ML systems in cloud environments including AWS, Azure, or GCP. Strong understanding of APIs, distributed systems, microservices, and scalable backend architectures. Experience with Kubernetes, containerization, orchestration, and cloud-native infrastructure. Experience implementing CI/CD pipelines, infrastructure automation, and MLOps best practices. Experience building monitoring, observability, and alerting solutions for ML and AI systems. Strong understanding of AI/ML lifecycle management, governance, model versioning, and production operations. Experience designing secure, scalable, production-ready AI platforms and services. Strong communication and collaboration skills with the ability to work across technical and business teams. Preferred Qualifications Previous experience implementing Generative AI and MLOps solutions within healthcare environments. Experience working with EPIC or healthcare interoperability platforms. Understanding of HIPAA, PHI handling, healthcare compliance, and responsible AI practices. Experience with AI governance frameworks, LLM evaluation methodologies, and AI safety tooling. Experience with GPU infrastructure optimization and scalable inference architectures. Familiarity with multi-agent AI systems and autonomous workflows. Experience with event-driven architectures, streaming pipelines, and real-time inference systems. Exposure to model fine-tuning techniques including LoRA, PEFT, RLHF, or domain adaptation strategies. Experience with enterprise AI platform architecture and internal developer platforms. Prior experience mentoring engineers and leading technical initiatives. Education 5+ years of relevant experience with a degree (Required) or 7+ years of relevant experience without a degree (Required) Experience in lieu of Bachelor's Degree. Certification/Licensure No specific certification or licensure requirements Experience 5 to 7 years of relevant experience We provide market-competitive compensation packages, inclusive of base pay, incentives, and benefits. The base pay rate for Full Time employment is: $91,416.00 - $152,380.80. Additional compensation may be available for this role such as shift differentials, standby/on-call, overtime, premiums, extra shift incentives, or bonus opportunities. Benefits: Caring For Your Family and Your Career • Medical, Dental, Vision plans • Adoption, Fertility and Surrogacy Reimbursement up to $10,000 • Paid Time Off and Sick Leave • Paid Parental & Family Caregiver Leave • Emergency Backup Care • Long-Term, Short-Term Disability, and Critical Illness plans • Life Insurance • 401k/403B with Employer Match • Tuition Assistance - $5,250/year and discounted educational opportunities through Guild Education • Student Debt Pay Down - $10,000 • Reimbursement for certifications and free access to complete CEUs and professional development •Pet Insurance •Legal Resources Plan . click apply for full job details
08/07/2026
Full time
City/State Virginia Beach, VA Work Shift Multiple shifts available Overview: Sentara is hiring a Senior MLOps & Generative AI Engineer! This position is fully remote! Candidates must reside in one of the following states: Alabama, Delaware, Florida, Georgia, Idaho, Indiana, Kansas, Louisiana, Maine, Maryland, Minnesota, Nebraska, Nevada, New Hampshire, North Dakota, Ohio, Oklahoma, Pennsylvania, South Carolina, South Dakota, Tennessee, Texas, Utah, Washington, West Virginia, Wisconsin, or Wyoming. Overview We are seeking a highly skilled and experienced Senior MLOps & Generative AI Engineer to join our growing AI organization and help advance current and future initiatives applying machine learning, deep learning, NLP, and Generative AI technologies to improve healthcare outcomes and operational excellence. This role combines two critical focus areas: MLOps Engineering - building and scaling enterprise-grade ML infrastructure, deployment pipelines, observability, governance, and automation capabilities. Generative AI Engineering - designing, architecting, deploying, and optimizing secure, production-ready GenAI applications and platforms leveraging LLMs, RAG architectures, vector databases, prompt orchestration, and AI evaluation frameworks. As a Senior Engineer, you will partner closely with AI Scientists, Data Engineers, Software Engineers, Architects, and Product teams to operationalize AI/ML and Generative AI solutions at enterprise scale. You will play a key role in shaping the organization's AI platform strategy, driving best practices, and delivering scalable, secure, and reliable AI systems in production healthcare environments. Key Responsibilities MLOps Engineering Responsibilities Design, build, and maintain scalable ML infrastructure and pipelines supporting model training, deployment, monitoring, governance, and lifecycle management. Develop and optimize CI/CD pipelines for machine learning and AI workloads across development, staging, and production environments. Build reusable ML platform capabilities including feature stores, model registries, experimentation frameworks, artifact management, and deployment automation. Implement scalable orchestration and workflow solutions for batch and real-time ML inference workloads. Create robust monitoring systems to measure model performance, detect model drift, monitor data quality, and ensure production reliability. Develop automation tools and self-service capabilities to improve the efficiency, scalability, and reliability of MLOps processes. Collaborate with Data Scientists and Software Engineers to streamline the ML lifecycle from experimentation through enterprise production deployment. Apply software engineering best practices to AI/ML systems including testing, observability, resiliency, security, versioning, and infrastructure-as-code. Identify gaps and improvement opportunities within the organization's ML platform ecosystem and architect scalable solutions to address them. Support enterprise AI governance, compliance, auditability, and model risk management requirements. Ensure platform scalability, reliability, security, and operational excellence across AI/ML systems. Generative AI Engineering Responsibilities Lead the architecture, design, and deployment of enterprise Generative AI solutions leveraging LLMs, foundation models, and agentic AI systems. Design and implement Retrieval-Augmented Generation (RAG) pipelines using vector databases, embeddings, semantic search, reranking, and retrieval optimization strategies. Build scalable LLM orchestration frameworks using technologies such as LangChain, LlamaIndex, Semantic Kernel, or equivalent frameworks. Develop advanced prompt engineering strategies, prompt chaining, context management, and agent workflows to improve LLM accuracy and reliability. Evaluate and implement fine-tuning, parameter-efficient tuning, and prompt-based optimization approaches for domain-specific use cases. Build AI evaluation and benchmarking frameworks to measure hallucination rates, response quality, grounding accuracy, toxicity, bias, latency, and business performance metrics. Implement AI safety guardrails, governance controls, content filtering, and responsible AI practices for enterprise healthcare environments. Design scalable GenAI APIs and microservices supporting high-throughput enterprise AI applications. Optimize GenAI systems for cost, latency, throughput, and inference performance across cloud and hybrid environments. Integrate enterprise data sources, healthcare systems, and knowledge repositories into secure GenAI workflows. Research and evaluate emerging GenAI technologies, open-source frameworks, and foundation models to drive innovation and continuous improvement. Develop architecture diagrams, technical roadmaps, implementation strategies, and executive-level documentation for enterprise AI initiatives. Collaborate with cybersecurity, compliance, and infrastructure teams to ensure secure and compliant deployment of GenAI solutions involving PHI and sensitive healthcare data. Contribute to the development of AI platform standards, reusable GenAI accelerators, templates, and engineering best practices. Required Qualifications 5+ years of experience building and deploying production software, ML systems, or AI platforms. 1+ years of hands-on experience building production Generative AI or LLM-based applications. Strong programming skills in Python and experience with software engineering best practices. Experience with major deep learning and LLM frameworks such as PyTorch, Hugging Face Transformers, TensorFlow, or equivalent. Hands-on experience implementing RAG architectures, vector search, embeddings, prompt engineering, and LLM orchestration frameworks. Experience with vector databases such as Pinecone, Weaviate, Chroma, FAISS, Milvus, or equivalent technologies. Experience deploying AI/ML systems in cloud environments including AWS, Azure, or GCP. Strong understanding of APIs, distributed systems, microservices, and scalable backend architectures. Experience with Kubernetes, containerization, orchestration, and cloud-native infrastructure. Experience implementing CI/CD pipelines, infrastructure automation, and MLOps best practices. Experience building monitoring, observability, and alerting solutions for ML and AI systems. Strong understanding of AI/ML lifecycle management, governance, model versioning, and production operations. Experience designing secure, scalable, production-ready AI platforms and services. Strong communication and collaboration skills with the ability to work across technical and business teams. Preferred Qualifications Previous experience implementing Generative AI and MLOps solutions within healthcare environments. Experience working with EPIC or healthcare interoperability platforms. Understanding of HIPAA, PHI handling, healthcare compliance, and responsible AI practices. Experience with AI governance frameworks, LLM evaluation methodologies, and AI safety tooling. Experience with GPU infrastructure optimization and scalable inference architectures. Familiarity with multi-agent AI systems and autonomous workflows. Experience with event-driven architectures, streaming pipelines, and real-time inference systems. Exposure to model fine-tuning techniques including LoRA, PEFT, RLHF, or domain adaptation strategies. Experience with enterprise AI platform architecture and internal developer platforms. Prior experience mentoring engineers and leading technical initiatives. Education 5+ years of relevant experience with a degree (Required) or 7+ years of relevant experience without a degree (Required) Experience in lieu of Bachelor's Degree. Certification/Licensure No specific certification or licensure requirements Experience 5 to 7 years of relevant experience We provide market-competitive compensation packages, inclusive of base pay, incentives, and benefits. The base pay rate for Full Time employment is: $91,416.00 - $152,380.80. Additional compensation may be available for this role such as shift differentials, standby/on-call, overtime, premiums, extra shift incentives, or bonus opportunities. Benefits: Caring For Your Family and Your Career • Medical, Dental, Vision plans • Adoption, Fertility and Surrogacy Reimbursement up to $10,000 • Paid Time Off and Sick Leave • Paid Parental & Family Caregiver Leave • Emergency Backup Care • Long-Term, Short-Term Disability, and Critical Illness plans • Life Insurance • 401k/403B with Employer Match • Tuition Assistance - $5,250/year and discounted educational opportunities through Guild Education • Student Debt Pay Down - $10,000 • Reimbursement for certifications and free access to complete CEUs and professional development •Pet Insurance •Legal Resources Plan . click apply for full job details
TriNet is a leading provider of comprehensive human resources solutions for small to midsize businesses (SMBs). We enhance business productivity by enabling our clients to outsource their HR function to one strategic partner and allowing them to focus on operating and growing their core businesses. Our full-service HR solutions include features such as payroll processing, human capital consulting, employment law compliance and employee benefits, including health insurance, retirement plans and workers' compensation insurance. TriNet has a nationwide presence and an experienced executive team. Our stock is publicly traded on the NYSE under the ticker symbol TNET. If you're passionate about innovation and making an impact on the large SMB market, come join us as we power our clients' business success with extraordinary HR. Don't meet every single requirement? Studies have shown that many potential applicants discourage themselves from applying to jobs unless they meet every single requirement. TriNet always strives to hire the most qualified candidate for a particular role, ensuring we deliver outstanding results for our small and medium-size customers. So, if you're excited about this role but your past experience doesn't align perfectly with every single qualification in the job description, nobody's perfect - and we encourage you to apply. You may just be the right candidate for this or other roles. A Brief Overview As a Staff MLOps Engineer, you will play a pivotal role in designing, implementing, and optimizing machine learning operations within our infrastructure. You will collaborate closely with data scientists, software engineers, and other cross-functional teams to ensure the seamless deployment and maintenance of machine learning models. What you will do Develop, manage, and scale the infrastructure required for efficient and reliable machine learning model deployment, including orchestration, version control, and monitoring systems. Design and implement automation pipelines for model training, testing, validation, and deployment, integrating CI/CD practices to ensure smooth and consistent delivery of ML models. Deploy machine learning models into production environments, establishing monitoring and alerting systems to track model performance, health, and data drift. Proactively troubleshoot issues and optimize model efficiency. Collaborate with data scientists, software engineers, and DevOps teams to streamline the integration of machine learning solutions into existing software systems and workflows. Ensure adherence to security protocols and compliance standards throughout the machine learning lifecycle, implementing best practices for data privacy and model governance. Stay updated with the latest advancements in MLOps tools, technologies, and methodologies, and propose enhancements to existing processes to improve efficiency and reliability. Solve complex and ambitious problems by crafting elegant and impactful solutions. ontributes to technical innovations along with defining coding standards entors and support other members of the software development team and contribute to the software development best practices. Performs other duties as assigned Complies with all policies and standards Education Qualifications Bachelor's Degree in Computer Science/Engineering or equivalent experience preferred Experience Qualifications Typically 8+ years Proven experience working in a similar MLOps or DevOps role within a technical engineering environment. required Typically 8+ years Experience with programming languages such as Python, Java, or similar, along with experience with relevant ML frameworks (TensorFlow, PyTorch, etc.). required Experience with CI/CD pipelines, version control systems (Git), and automation tools. Skills and Abilities Knowledge of end-to-end SDLC process in EDW, Data Lake, BI & MLOps projects Dimensional Modeling and Data warehouse, ODS concepts, such as star schemas, snowflakes, and normalized data models Strong knowledge of containerization technologies (Docker, Kubernetes) and cloud platforms (AWS, Azure, GCP). Ability to coordinate effectively with on-site and offshore resources through Managed Service Providers & IT Teams Knowledge of Reporting tools like Tableau is desired Excellent verbal and written communication skills Strong Problem-solving and organizational skills and ability to work in a fast-paced, collaborative environment. Solid understanding of machine learning concepts, model development, and deployment strategies. Travel Requirements Minimal Work Environment Work in clean, pleasant, and comfortable office or home setting. The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodations may be made to enable persons with disabilities to perform the essential functions. The preferred location for this role is Atlanta, GA, and the salary range for this location is $125,000.00 to $275,000.00. All qualified external applicants will be considered for an in-office role, based in Atlanta. All qualified internal candidates are encouraged to apply and consider relocation to Atlanta and may be considered for remote hire at the company's discretion. The candidate's final salary offer will be based on the candidate's skills, education, work location and experience. A candidate's compensation may also include bonuses consistent with TriNet's corporate bonus plan. Additionally, subject to applicable eligibility requirements, TriNet offers permanent full-time employees a variety of benefits including medical, dental, and vision plans, life and disability insurance, a 401(K) savings plan, an employee stock purchase plan, eleven (11) Company observed holidays, PTO and a comprehensive leave program. Please click the following link for detailed information about our benefits offerings: Please Note: TriNet reserves the right to change or modify job duties and assignments at any time. The above job description is not all encompassing. Position functions and qualifications may vary depending on business necessity. TriNet is an Equal Opportunity Employer and does not discriminate against applicants based on race, religion, color, disability, medical condition, legally protected genetic information, national origin, gender, sexual orientation, marital status, gender identity or expression, sex (including pregnancy, childbirth or related medical conditions), age, veteran status or other legally protected characteristics. Any applicant with a mental or physical disability who requires an accommodation during the application process should contact to request such an accommodation.
08/07/2026
Full time
TriNet is a leading provider of comprehensive human resources solutions for small to midsize businesses (SMBs). We enhance business productivity by enabling our clients to outsource their HR function to one strategic partner and allowing them to focus on operating and growing their core businesses. Our full-service HR solutions include features such as payroll processing, human capital consulting, employment law compliance and employee benefits, including health insurance, retirement plans and workers' compensation insurance. TriNet has a nationwide presence and an experienced executive team. Our stock is publicly traded on the NYSE under the ticker symbol TNET. If you're passionate about innovation and making an impact on the large SMB market, come join us as we power our clients' business success with extraordinary HR. Don't meet every single requirement? Studies have shown that many potential applicants discourage themselves from applying to jobs unless they meet every single requirement. TriNet always strives to hire the most qualified candidate for a particular role, ensuring we deliver outstanding results for our small and medium-size customers. So, if you're excited about this role but your past experience doesn't align perfectly with every single qualification in the job description, nobody's perfect - and we encourage you to apply. You may just be the right candidate for this or other roles. A Brief Overview As a Staff MLOps Engineer, you will play a pivotal role in designing, implementing, and optimizing machine learning operations within our infrastructure. You will collaborate closely with data scientists, software engineers, and other cross-functional teams to ensure the seamless deployment and maintenance of machine learning models. What you will do Develop, manage, and scale the infrastructure required for efficient and reliable machine learning model deployment, including orchestration, version control, and monitoring systems. Design and implement automation pipelines for model training, testing, validation, and deployment, integrating CI/CD practices to ensure smooth and consistent delivery of ML models. Deploy machine learning models into production environments, establishing monitoring and alerting systems to track model performance, health, and data drift. Proactively troubleshoot issues and optimize model efficiency. Collaborate with data scientists, software engineers, and DevOps teams to streamline the integration of machine learning solutions into existing software systems and workflows. Ensure adherence to security protocols and compliance standards throughout the machine learning lifecycle, implementing best practices for data privacy and model governance. Stay updated with the latest advancements in MLOps tools, technologies, and methodologies, and propose enhancements to existing processes to improve efficiency and reliability. Solve complex and ambitious problems by crafting elegant and impactful solutions. ontributes to technical innovations along with defining coding standards entors and support other members of the software development team and contribute to the software development best practices. Performs other duties as assigned Complies with all policies and standards Education Qualifications Bachelor's Degree in Computer Science/Engineering or equivalent experience preferred Experience Qualifications Typically 8+ years Proven experience working in a similar MLOps or DevOps role within a technical engineering environment. required Typically 8+ years Experience with programming languages such as Python, Java, or similar, along with experience with relevant ML frameworks (TensorFlow, PyTorch, etc.). required Experience with CI/CD pipelines, version control systems (Git), and automation tools. Skills and Abilities Knowledge of end-to-end SDLC process in EDW, Data Lake, BI & MLOps projects Dimensional Modeling and Data warehouse, ODS concepts, such as star schemas, snowflakes, and normalized data models Strong knowledge of containerization technologies (Docker, Kubernetes) and cloud platforms (AWS, Azure, GCP). Ability to coordinate effectively with on-site and offshore resources through Managed Service Providers & IT Teams Knowledge of Reporting tools like Tableau is desired Excellent verbal and written communication skills Strong Problem-solving and organizational skills and ability to work in a fast-paced, collaborative environment. Solid understanding of machine learning concepts, model development, and deployment strategies. Travel Requirements Minimal Work Environment Work in clean, pleasant, and comfortable office or home setting. The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodations may be made to enable persons with disabilities to perform the essential functions. The preferred location for this role is Atlanta, GA, and the salary range for this location is $125,000.00 to $275,000.00. All qualified external applicants will be considered for an in-office role, based in Atlanta. All qualified internal candidates are encouraged to apply and consider relocation to Atlanta and may be considered for remote hire at the company's discretion. The candidate's final salary offer will be based on the candidate's skills, education, work location and experience. A candidate's compensation may also include bonuses consistent with TriNet's corporate bonus plan. Additionally, subject to applicable eligibility requirements, TriNet offers permanent full-time employees a variety of benefits including medical, dental, and vision plans, life and disability insurance, a 401(K) savings plan, an employee stock purchase plan, eleven (11) Company observed holidays, PTO and a comprehensive leave program. Please click the following link for detailed information about our benefits offerings: Please Note: TriNet reserves the right to change or modify job duties and assignments at any time. The above job description is not all encompassing. Position functions and qualifications may vary depending on business necessity. TriNet is an Equal Opportunity Employer and does not discriminate against applicants based on race, religion, color, disability, medical condition, legally protected genetic information, national origin, gender, sexual orientation, marital status, gender identity or expression, sex (including pregnancy, childbirth or related medical conditions), age, veteran status or other legally protected characteristics. Any applicant with a mental or physical disability who requires an accommodation during the application process should contact to request such an accommodation.
Cargill seeks a Senior AI Data Scientist to drive advanced analytics across its global manufacturing operations. In this role, you will design, build, and deploy machine learning solutions that optimize production, quality, and supply chain performance. You will work with large industrial datasets, partner closely with engineers and plant leaders, and translate complex insights into practical actions. At Cargill, you will join a culture of integrity, safety, and inclusive growth while contributing to sustainable food and agriculture worldwide.
08/07/2026
Full time
Cargill seeks a Senior AI Data Scientist to drive advanced analytics across its global manufacturing operations. In this role, you will design, build, and deploy machine learning solutions that optimize production, quality, and supply chain performance. You will work with large industrial datasets, partner closely with engineers and plant leaders, and translate complex insights into practical actions. At Cargill, you will join a culture of integrity, safety, and inclusive growth while contributing to sustainable food and agriculture worldwide.
Junior Data Scientist - Move From ML Courses to Real Job Readiness Have you completed courses in Python, machine learning, statistics, or data science but still feel unsure about applying for jobs? Many candidates know the theory behind models, but employers want to see whether you can clean data, explore datasets, choose the right model, evaluate results, explain tradeoffs, and communicate findings in a business-friendly way. SynergisticIT is seeking candidates interested in junior data science roles involving Python, SQL, machine learning, statistics, data visualization, model evaluation, NLP, predictive analytics, and applied AI concepts. This opportunity is ideal for candidates who want to move beyond tutorials and create a stronger, more employer-ready profile. Since 2010, Synergisticit has helped thousands of candidates land full-time jobs at tech leaders like Google, Apple, PayPal, Visa, Western Union, Wells Fargo, Client, Paypal, Banking, Wayfair, Client, Client and hundreds more with Job offers of $95k to $154k. Synergisticit focuses on closing the gap between your tech skills and what employers want now. Currently, We are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/Data Engineers/ Data Scientists, Machine Learning engineers for full time positions with clients. We Focus on Java /Full stack/Devops and Data Science /Data Engineers/Data analysts/BI Analysts/ Machine learning/AI candidates Ideal Candidates: Recent grads in CS, Engineering, Math, or Statistics with limited or no job experience Jobseekers who had layoffs due to Downsizing and want to get in demand tech stack Professionals seeking a career switch to tech Candidates with career gaps or lacking real-world experience Individuals looking to boost their skill portfolio for better job prospects Computer Science grads with limited or no job experience Students who recently finished their Bachelor's or Master's programs Those struggling to land interviews despite having experience please read our blogs Why do Tech Companies not Hire recent Computer Science Graduates Technical Skills or Experience? Which one is important to get a Job? Please check below links: Synergisticit Industry Event videos (OCW, JavaOne, Gartner data Analytics): USA Today feature Explore JOPP: Contact: SynergisticIT JOPP is good for aspiring data scientists because it helps candidates connect learning with hiring expectations. The program's placement-focused approach supports practical skill development, project work, interview preparation, and profile positioning so candidates can better compete in a crowded data science market. Build the confidence, projects, and preparation needed for data science opportunities- Contact us Please note: Resume databases are shared with clients and interested clients will reach out directly if they find a qualified candidate for their req. Resume submissions may be shared with our JOPP team database also. Please unsubscribe if contacted or if you don't want to be contacted please don't submit your resume.
08/07/2026
Full time
Junior Data Scientist - Move From ML Courses to Real Job Readiness Have you completed courses in Python, machine learning, statistics, or data science but still feel unsure about applying for jobs? Many candidates know the theory behind models, but employers want to see whether you can clean data, explore datasets, choose the right model, evaluate results, explain tradeoffs, and communicate findings in a business-friendly way. SynergisticIT is seeking candidates interested in junior data science roles involving Python, SQL, machine learning, statistics, data visualization, model evaluation, NLP, predictive analytics, and applied AI concepts. This opportunity is ideal for candidates who want to move beyond tutorials and create a stronger, more employer-ready profile. Since 2010, Synergisticit has helped thousands of candidates land full-time jobs at tech leaders like Google, Apple, PayPal, Visa, Western Union, Wells Fargo, Client, Paypal, Banking, Wayfair, Client, Client and hundreds more with Job offers of $95k to $154k. Synergisticit focuses on closing the gap between your tech skills and what employers want now. Currently, We are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/Data Engineers/ Data Scientists, Machine Learning engineers for full time positions with clients. We Focus on Java /Full stack/Devops and Data Science /Data Engineers/Data analysts/BI Analysts/ Machine learning/AI candidates Ideal Candidates: Recent grads in CS, Engineering, Math, or Statistics with limited or no job experience Jobseekers who had layoffs due to Downsizing and want to get in demand tech stack Professionals seeking a career switch to tech Candidates with career gaps or lacking real-world experience Individuals looking to boost their skill portfolio for better job prospects Computer Science grads with limited or no job experience Students who recently finished their Bachelor's or Master's programs Those struggling to land interviews despite having experience please read our blogs Why do Tech Companies not Hire recent Computer Science Graduates Technical Skills or Experience? Which one is important to get a Job? Please check below links: Synergisticit Industry Event videos (OCW, JavaOne, Gartner data Analytics): USA Today feature Explore JOPP: Contact: SynergisticIT JOPP is good for aspiring data scientists because it helps candidates connect learning with hiring expectations. The program's placement-focused approach supports practical skill development, project work, interview preparation, and profile positioning so candidates can better compete in a crowded data science market. Build the confidence, projects, and preparation needed for data science opportunities- Contact us Please note: Resume databases are shared with clients and interested clients will reach out directly if they find a qualified candidate for their req. Resume submissions may be shared with our JOPP team database also. Please unsubscribe if contacted or if you don't want to be contacted please don't submit your resume.
Junior Full Stack Developer - Build the Front End, Back End, and Confidence Full-stack development is attractive because it allows candidates to understand how complete applications work. But full-stack roles require more than knowing a frontend framework or writing backend code separately. Employers want candidates who can connect the pieces: user interface, APIs, databases, authentication, version control, and deployment basics. SynergisticIT is seeking candidates interested in Java, Spring Boot, JavaScript, React, SQL, REST APIs, Git, cloud basics, and end-to-end application development. This opportunity is ideal for candidates who want to build complete projects and become more competitive for entry-level or junior full-stack roles. SynergisticIT JOPP is good for aspiring full-stack developers because it supports practical skill development and job-market preparation. Candidates can build portfolio-ready applications, improve resume storytelling, prepare for technical interviews, and learn how to explain their project decisions with confidence. Since 2010, Synergisticit has helped thousands of candidates land full-time jobs at tech leaders like Google, Apple, PayPal, Visa, Western Union, Wells Fargo, Intel, Paypal, JPMC, Wayfair, BOA, CITI and hundreds more with Job offers of $95k to $154k. Synergisticit focuses on closing the gap between your tech skills and what employers want now. Currently, We are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/Data Engineers/ Data Scientists, Machine Learning engineers for full time positions with clients. We Focus on Java /Full stack/Devops and Data Science /Data Engineers/Data analysts/BI Analysts/ Machine learning/AI candidates Ideal Candidates: Recent grads in CS, Engineering, Math, or Statistics with limited or no job experience Jobseekers who had layoffs due to Downsizing and want to get in demand tech stack Professionals seeking a career switch to tech Candidates with career gaps or lacking real-world experience Individuals looking to boost their skill portfolio for better job prospects Computer Science grads with limited or no job experience Students who recently finished their Bachelor's or Master's programs Those struggling to land interviews despite having experience Please check below links: Event videos (OCW, JavaOne, Gartner): USA Today feature Discover JOPP: Contact: please read our blogs Why do Tech Companies not Hire recent Computer Science Graduates Technical Skills or Experience? Which one is important to get a Job? Build complete applications and a stronger career profile- Contact us Please note: Resume databases are shared with clients and interested clients will reach out directly if they find a qualified candidate for their req. Resume submissions may be shared with our JOPP team database also. Please unsubscribe if contacted or if you don't want to be contacted please don't submit your resume.
08/07/2026
Full time
Junior Full Stack Developer - Build the Front End, Back End, and Confidence Full-stack development is attractive because it allows candidates to understand how complete applications work. But full-stack roles require more than knowing a frontend framework or writing backend code separately. Employers want candidates who can connect the pieces: user interface, APIs, databases, authentication, version control, and deployment basics. SynergisticIT is seeking candidates interested in Java, Spring Boot, JavaScript, React, SQL, REST APIs, Git, cloud basics, and end-to-end application development. This opportunity is ideal for candidates who want to build complete projects and become more competitive for entry-level or junior full-stack roles. SynergisticIT JOPP is good for aspiring full-stack developers because it supports practical skill development and job-market preparation. Candidates can build portfolio-ready applications, improve resume storytelling, prepare for technical interviews, and learn how to explain their project decisions with confidence. Since 2010, Synergisticit has helped thousands of candidates land full-time jobs at tech leaders like Google, Apple, PayPal, Visa, Western Union, Wells Fargo, Intel, Paypal, JPMC, Wayfair, BOA, CITI and hundreds more with Job offers of $95k to $154k. Synergisticit focuses on closing the gap between your tech skills and what employers want now. Currently, We are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/Data Engineers/ Data Scientists, Machine Learning engineers for full time positions with clients. We Focus on Java /Full stack/Devops and Data Science /Data Engineers/Data analysts/BI Analysts/ Machine learning/AI candidates Ideal Candidates: Recent grads in CS, Engineering, Math, or Statistics with limited or no job experience Jobseekers who had layoffs due to Downsizing and want to get in demand tech stack Professionals seeking a career switch to tech Candidates with career gaps or lacking real-world experience Individuals looking to boost their skill portfolio for better job prospects Computer Science grads with limited or no job experience Students who recently finished their Bachelor's or Master's programs Those struggling to land interviews despite having experience Please check below links: Event videos (OCW, JavaOne, Gartner): USA Today feature Discover JOPP: Contact: please read our blogs Why do Tech Companies not Hire recent Computer Science Graduates Technical Skills or Experience? Which one is important to get a Job? Build complete applications and a stronger career profile- Contact us Please note: Resume databases are shared with clients and interested clients will reach out directly if they find a qualified candidate for their req. Resume submissions may be shared with our JOPP team database also. Please unsubscribe if contacted or if you don't want to be contacted please don't submit your resume.
The City of Lake Worth Beach invites qualified individuals to apply for the position of O perational Technology (OT) Network Engineer. The Full Time, Non-Bargaining, Exempt position with a salary rate of $67,275 - $90,563. Working at the Utilities Building located at 1900 2nd Avenue North, Lake Worth, FL 33461. The U.S. Department of Energy's Grid Deployment Office has selected the City of Lake Worth Beach for investment via the Grid Resilience and Innovation Partnerships (GRIP) program to enhance grid flexibility, install more than 60 reclosers and other sectionalizing devices to autonomously rebalance the electrical system, integrate battery energy storage (BES) for community solar, new fiber optics connections, install advanced metering infrastructure (AMI), and deploy a meter data management (MDM) system. Positions covered under this GRIP Grant will expire / terminate in accordance with the grant's timeline: this position will expire on the same date that the grant expires. The regular work schedule for these positions is Monday through Friday. All positions are in-person and / or on-site. All candidates must be United States citizens. JOB SUMMARY: Reporting to the GRIP Grant Project Administration Manager, the Operational Technology (OT) Network Engineer is a highly skilled technical position that is responsible for network operations including to administer, maintain and improve all critical infrastructure industrial control systems supporting the City's electric utility. This position involves the installation, configuration and compliance of SCADA, Human Machine Interface, network switches, routers, firewalls, virtualized servers, security and applications. ESSENTIAL FUNCTIONS: Essential functions, as defined under the Americans with Disabilities Act, may include the following tasks, knowledge, skills and other characteristics. This list is illustrative only and is not a comprehensive listing of all functions and tasks performed by incumbents of this class. Specific duties and responsibilities may vary depending on department or program needs without changing the general nature and scope of the job or level of responsibility. Employees may also perform related work as required. The examples of essential functions as listed in this classification specification are not necessarily descriptive of any one position in the class. The omission of an essential function of work does not preclude management from assigning duties not listed herein if such functions are a logical assignment in relation to the position. The position involves managing and maintaining operational technologies including SCADA systems, VMware, Windows server, switches, routers, firewalls, and wireless radio systems. Document existing architectures, and update documentation as the modifications are made. Manage backups, replication and a disaster recovery plan. Implementing and maintaining best practices including compliance with government regulations. Must work collaboratively with other members of the City of Lake Worth Beach staff, technology providers and contractors.Ability to work independently and as part of a team depending on the assignment or situation.Strong analytical and critical thinking, with the ability to identify opportunities that can improve efficiency.A clear understanding of client/server technology and network architecture.Good communication skills, including writing, speaking and active listening.Self-motivated with the ability to prioritize, meet deadlines, and manage changing priorities.Take a leadership role with the data networks. Planning, installing, and maintaining physical and logical network and network infrastructure devices such as routers, switches, backup systems, security appliances, network security, server hardware, server operating systems, networked applications, and physical connectivity.Manage and maintains network operations and associated equipment; remote access systems, cabling, VPN clients, Windows-based operating systems, and other networked and/or stand-alone applications. Perform advanced server operations on Windows server platforms.Responsible for backup, restore, and data/server replication and patching.Keep current on updates and informs management and department members as changes may affect data and voice network operations. SUPERVISION: This role has no supervisory responsibilities. MINIMUM QUALIFICATIONS: To perform this job successfully, an individual must be able to carry out each essential duty or responsibility satisfactorily. The requirements listed below are representative of the knowledge, skills, and abilities; education and/or experience; and certificates or licenses required in order to fill the position. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions of the job.Must have been employed in the Network Engineer field for the past one to two years performing the duties outlined in this job description.Valid Florida driver's license, with vehicle available to get to other City locations. KNOWLEDGE, SKILLS, AND ABILITIES: Knowledge of Microsoft Server products.Knowledge of networking, routing, and switching protocols and proper network design infrastructure.Excellent working knowledge Windows network environments, including but not limited to: Windows Server OS and applications, Anti-Virus programs, TCP/IP connectivity, Internet, and MS Office Suite.Skill in the installation, repair, and maintenance of information technology systems.Skill in planning, organization, and decision making.Able to produce written documents in the English language with clearly organized thoughts using proper sentence construction, punctuation, and grammar.Able to act independently and logically to implement policies of supervisor. Able to comprehend and make inferences from written material. Able to learn job-related material primarily through oral instruction and observation. This learning takes place mainly in an on-the-job training setting. Able to effectively manage multiple tasks at once. PHYSICAL REQUIREMENTS: Tasks may involve extended periods of time at a keyboard or workstation and extended periods of time standing and/or walking. SENSORY REQUIREMENTS: Some tasks require manual dexterity, in addition to visual and hearing acuity. Some tasks may involve identifying and distinguishing colors. Some tasks require the ability to perceive and discriminate visual cues or signals. Some tasks require the ability to communicate orally and in writing. All full-time employees are considered critical in response to emergency situations and may be deemed essential as needed depending on the situation. Employees in this position will be required to complete the FEMA Incident Command System (ICS) Certification Levels 100, 200, 700 and 800 within the first six months of employment. Certain positions may be required to attain additional ICS training as needed. The job description does not constitute an employment agreement between the City of Lake Worth Beach and the employee and is subject to change by the employer as the needs of the employer and requirements of the job change. The City of Lake Worth Beach is an Equal Opportunity Employer. In compliance with United States Equal Employment Opportunity guidelines and the Americans with Disabilities Act, this organization provides reasonable accommodation to qualified individuals with disabilities and encourages both prospective and current employees to discuss potential accommodations with the employer. Applicants for positions with the City of Lake Worth Beach should know and be aware of the following: Applicants for employment who become candidates for available employment positions should note employment is contingent upon satisfactory completion of all reference checks and pre-employment physical satisfaction. Upon request, information on the nature and scope of an inquiry will be provided under FS 119. Furthermore, some of the job classifications within the City of Lake Worth Beach workforce are covered by Collective Bargaining Agreements with a union. Consistent with Chapter 447 of the Florida Statutes, a bargaining unit employee has the right to join or not join the union. However, the Union is not obligated to represent a non-member. Compensation details: 3 Yearly Salary PI46fe3a35d3fd-4160
08/05/2026
Full time
The City of Lake Worth Beach invites qualified individuals to apply for the position of O perational Technology (OT) Network Engineer. The Full Time, Non-Bargaining, Exempt position with a salary rate of $67,275 - $90,563. Working at the Utilities Building located at 1900 2nd Avenue North, Lake Worth, FL 33461. The U.S. Department of Energy's Grid Deployment Office has selected the City of Lake Worth Beach for investment via the Grid Resilience and Innovation Partnerships (GRIP) program to enhance grid flexibility, install more than 60 reclosers and other sectionalizing devices to autonomously rebalance the electrical system, integrate battery energy storage (BES) for community solar, new fiber optics connections, install advanced metering infrastructure (AMI), and deploy a meter data management (MDM) system. Positions covered under this GRIP Grant will expire / terminate in accordance with the grant's timeline: this position will expire on the same date that the grant expires. The regular work schedule for these positions is Monday through Friday. All positions are in-person and / or on-site. All candidates must be United States citizens. JOB SUMMARY: Reporting to the GRIP Grant Project Administration Manager, the Operational Technology (OT) Network Engineer is a highly skilled technical position that is responsible for network operations including to administer, maintain and improve all critical infrastructure industrial control systems supporting the City's electric utility. This position involves the installation, configuration and compliance of SCADA, Human Machine Interface, network switches, routers, firewalls, virtualized servers, security and applications. ESSENTIAL FUNCTIONS: Essential functions, as defined under the Americans with Disabilities Act, may include the following tasks, knowledge, skills and other characteristics. This list is illustrative only and is not a comprehensive listing of all functions and tasks performed by incumbents of this class. Specific duties and responsibilities may vary depending on department or program needs without changing the general nature and scope of the job or level of responsibility. Employees may also perform related work as required. The examples of essential functions as listed in this classification specification are not necessarily descriptive of any one position in the class. The omission of an essential function of work does not preclude management from assigning duties not listed herein if such functions are a logical assignment in relation to the position. The position involves managing and maintaining operational technologies including SCADA systems, VMware, Windows server, switches, routers, firewalls, and wireless radio systems. Document existing architectures, and update documentation as the modifications are made. Manage backups, replication and a disaster recovery plan. Implementing and maintaining best practices including compliance with government regulations. Must work collaboratively with other members of the City of Lake Worth Beach staff, technology providers and contractors.Ability to work independently and as part of a team depending on the assignment or situation.Strong analytical and critical thinking, with the ability to identify opportunities that can improve efficiency.A clear understanding of client/server technology and network architecture.Good communication skills, including writing, speaking and active listening.Self-motivated with the ability to prioritize, meet deadlines, and manage changing priorities.Take a leadership role with the data networks. Planning, installing, and maintaining physical and logical network and network infrastructure devices such as routers, switches, backup systems, security appliances, network security, server hardware, server operating systems, networked applications, and physical connectivity.Manage and maintains network operations and associated equipment; remote access systems, cabling, VPN clients, Windows-based operating systems, and other networked and/or stand-alone applications. Perform advanced server operations on Windows server platforms.Responsible for backup, restore, and data/server replication and patching.Keep current on updates and informs management and department members as changes may affect data and voice network operations. SUPERVISION: This role has no supervisory responsibilities. MINIMUM QUALIFICATIONS: To perform this job successfully, an individual must be able to carry out each essential duty or responsibility satisfactorily. The requirements listed below are representative of the knowledge, skills, and abilities; education and/or experience; and certificates or licenses required in order to fill the position. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions of the job.Must have been employed in the Network Engineer field for the past one to two years performing the duties outlined in this job description.Valid Florida driver's license, with vehicle available to get to other City locations. KNOWLEDGE, SKILLS, AND ABILITIES: Knowledge of Microsoft Server products.Knowledge of networking, routing, and switching protocols and proper network design infrastructure.Excellent working knowledge Windows network environments, including but not limited to: Windows Server OS and applications, Anti-Virus programs, TCP/IP connectivity, Internet, and MS Office Suite.Skill in the installation, repair, and maintenance of information technology systems.Skill in planning, organization, and decision making.Able to produce written documents in the English language with clearly organized thoughts using proper sentence construction, punctuation, and grammar.Able to act independently and logically to implement policies of supervisor. Able to comprehend and make inferences from written material. Able to learn job-related material primarily through oral instruction and observation. This learning takes place mainly in an on-the-job training setting. Able to effectively manage multiple tasks at once. PHYSICAL REQUIREMENTS: Tasks may involve extended periods of time at a keyboard or workstation and extended periods of time standing and/or walking. SENSORY REQUIREMENTS: Some tasks require manual dexterity, in addition to visual and hearing acuity. Some tasks may involve identifying and distinguishing colors. Some tasks require the ability to perceive and discriminate visual cues or signals. Some tasks require the ability to communicate orally and in writing. All full-time employees are considered critical in response to emergency situations and may be deemed essential as needed depending on the situation. Employees in this position will be required to complete the FEMA Incident Command System (ICS) Certification Levels 100, 200, 700 and 800 within the first six months of employment. Certain positions may be required to attain additional ICS training as needed. The job description does not constitute an employment agreement between the City of Lake Worth Beach and the employee and is subject to change by the employer as the needs of the employer and requirements of the job change. The City of Lake Worth Beach is an Equal Opportunity Employer. In compliance with United States Equal Employment Opportunity guidelines and the Americans with Disabilities Act, this organization provides reasonable accommodation to qualified individuals with disabilities and encourages both prospective and current employees to discuss potential accommodations with the employer. Applicants for positions with the City of Lake Worth Beach should know and be aware of the following: Applicants for employment who become candidates for available employment positions should note employment is contingent upon satisfactory completion of all reference checks and pre-employment physical satisfaction. Upon request, information on the nature and scope of an inquiry will be provided under FS 119. Furthermore, some of the job classifications within the City of Lake Worth Beach workforce are covered by Collective Bargaining Agreements with a union. Consistent with Chapter 447 of the Florida Statutes, a bargaining unit employee has the right to join or not join the union. However, the Union is not obligated to represent a non-member. Compensation details: 3 Yearly Salary PI46fe3a35d3fd-4160
In-Q-Tel In-Q-Tel is an Affirmative Action Employer who values diversity in the workplace. EOE/M/F/disability/vets Technology Architect - AI US-VA-McLean Job ID: # of Openings: 1 Category: Technology Consulting IQT Overview This position will work closely with IQT's government partners to understand their technology challenges and use their mastery of technology to investigate and recommend potential solutions from the venture-backed startup ecosystem, for both immediate mission needs and long term readiness. The Technology Architect team is responsible for identifying and executing investments in technology areas including (but not limited to) artificial intelligence, machine learning, enterprise search, AI automation, custom Large Language Models (LLMs), physical AI, and the security of AI systems. This position will guide the technical aspects of an investment to ensure that IQT delivers effective and compelling solutions to our Intelligence Community/Department of Defense government partners. Responsibilities Identifies new AI/ML technology areas for investment and provides technical diligence on multiple complementary investments in that technology area. Develop and negotiation of Statements of Work contracts between IQT and start-up companies. Provides thought leadership in one or more areas of AI/ML subject matter expertise. Leverages technical/market experience and understanding of government partner use cases to identify new topics for, and oversee development of, technical engagement strategies across short- and long-term development horizons. Provide technical oversight on work programs; perform assessments of work program deliverables. Identifies and communicates paths for resolution of issues on work programs to key stakeholders and IQT Leadership. Oversee development of technology architectures and solutions to address AI-related problems faced by IQT's government partners. Coordinates with customers on AI technology adoption strategy in development of multiple work programs in a government partner mission area. Qualifications Minimal Qualifications Due to contractual reasons, U.S. Citizenship is required. Candidates with active top-secret clearance preferred; at a minimum, candidate must meet eligibility requirements for access to classified information. Advanced degree in a science or engineering discipline (or equivalent experience) preferred. Minimum 5 years professional experience with some portion of that time overseeing a technology development effort in a business and/or intelligence environment. Demonstrated expertise in artificial intelligence or machine learning. Previous experience negotiating milestone-based Statements of Work contracts. Preferred Qualifications Demonstrated e xpertise in applied AI/ML, generative and multimodal AI, enterprise search, agentic systems, workflow automation, NLP, or production AI engineering : Experience designing, evaluating, deploying, or securing LLMs, multimodal models, RAG systems, AI agents, or human-AI decision-support tools. Knowledge of AI-enabled threat intelligence and cyber defense, including detection, vulnerability prioritization, incident investigation, and response. Understanding of AI security across data, models, prompts, retrieval, memory, tools, APIs, infrastructure, and third-party components. Familiarity with AI threats such as prompt injection, jailbreaks, unsafe tool use, data or model poisoning, evasion, model extraction, and sensitive-data leakage. Knowledge of agent security, including identity, authorization, least privilege, sandboxing, containment, MCP security, and supply-chain integrity. Experience with AI evaluation, assurance, and red teaming, including threat modeling, adversarial testing, safety evaluations, monitoring, and incident response. Knowledge of AI-enabled security operations, including threat hunting, vulnerability analysis, malware analysis, digital forensics, alert triage, and detection engineering. Familiarity with privacy-preserving AI, including federated learning, differential privacy, secure aggregation, confidential computing, and multiparty computation. Understanding of explainable and auditable AI, including interpretability, uncertainty, evidence traceability, and decision provenance. Experience using generative AI, world models, digital twins, or multi-agent simulations for red teaming, mission rehearsal, synthetic data, and defensive testing. Familiarity with embodied AI, including vision-language-action models, spatial reasoning, robotics, autonomous systems, reinforcement learning, and human-machine teaming. Working knowledge of modern AI architectures, including Transformers, mixture-of-experts, diffusion, state-space, retrieval, multimodal, agentic, and edge AI systems. Understanding of the AI lifecycle, including data preparation, training, adaptation, evaluation, deployment, monitoring, governance, and retirement. Experience with MLOps , LLMOps , or AgentOps practices and supporting production infrastructure. Hands-on experience with Python, JavaScript/TypeScript, Go, or Rust and with cloud, GPU, API, container, or production data environments. Ability to assess emerging AI technologies, separate demonstrated performance from marketing claims, and evaluate mission value, limitations, risks, and adoption barriers. Commitment to continued understanding of new AI technologies and their strategic advantages. Capable of analyzing complex problems including identifying root cause issues, generating a concise summary of analysis; and presenting recommendations for non-technical audiences. Startup or entrepreneurial experience and proven ability to thrive in a non-traditional, entrepreneurial environment. Comfortable presenting complex technology subjects to both technical and non-technical audiences. Prior experience working with the U.S. Intelligence Community. Strong writer: experience in both technical writing and proposal/contract writing is preferred. To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed are representative of the knowledge, skill, and/or ability required . Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. PM22 PIbf9d389b17d0-6301
08/05/2026
Full time
In-Q-Tel In-Q-Tel is an Affirmative Action Employer who values diversity in the workplace. EOE/M/F/disability/vets Technology Architect - AI US-VA-McLean Job ID: # of Openings: 1 Category: Technology Consulting IQT Overview This position will work closely with IQT's government partners to understand their technology challenges and use their mastery of technology to investigate and recommend potential solutions from the venture-backed startup ecosystem, for both immediate mission needs and long term readiness. The Technology Architect team is responsible for identifying and executing investments in technology areas including (but not limited to) artificial intelligence, machine learning, enterprise search, AI automation, custom Large Language Models (LLMs), physical AI, and the security of AI systems. This position will guide the technical aspects of an investment to ensure that IQT delivers effective and compelling solutions to our Intelligence Community/Department of Defense government partners. Responsibilities Identifies new AI/ML technology areas for investment and provides technical diligence on multiple complementary investments in that technology area. Develop and negotiation of Statements of Work contracts between IQT and start-up companies. Provides thought leadership in one or more areas of AI/ML subject matter expertise. Leverages technical/market experience and understanding of government partner use cases to identify new topics for, and oversee development of, technical engagement strategies across short- and long-term development horizons. Provide technical oversight on work programs; perform assessments of work program deliverables. Identifies and communicates paths for resolution of issues on work programs to key stakeholders and IQT Leadership. Oversee development of technology architectures and solutions to address AI-related problems faced by IQT's government partners. Coordinates with customers on AI technology adoption strategy in development of multiple work programs in a government partner mission area. Qualifications Minimal Qualifications Due to contractual reasons, U.S. Citizenship is required. Candidates with active top-secret clearance preferred; at a minimum, candidate must meet eligibility requirements for access to classified information. Advanced degree in a science or engineering discipline (or equivalent experience) preferred. Minimum 5 years professional experience with some portion of that time overseeing a technology development effort in a business and/or intelligence environment. Demonstrated expertise in artificial intelligence or machine learning. Previous experience negotiating milestone-based Statements of Work contracts. Preferred Qualifications Demonstrated e xpertise in applied AI/ML, generative and multimodal AI, enterprise search, agentic systems, workflow automation, NLP, or production AI engineering : Experience designing, evaluating, deploying, or securing LLMs, multimodal models, RAG systems, AI agents, or human-AI decision-support tools. Knowledge of AI-enabled threat intelligence and cyber defense, including detection, vulnerability prioritization, incident investigation, and response. Understanding of AI security across data, models, prompts, retrieval, memory, tools, APIs, infrastructure, and third-party components. Familiarity with AI threats such as prompt injection, jailbreaks, unsafe tool use, data or model poisoning, evasion, model extraction, and sensitive-data leakage. Knowledge of agent security, including identity, authorization, least privilege, sandboxing, containment, MCP security, and supply-chain integrity. Experience with AI evaluation, assurance, and red teaming, including threat modeling, adversarial testing, safety evaluations, monitoring, and incident response. Knowledge of AI-enabled security operations, including threat hunting, vulnerability analysis, malware analysis, digital forensics, alert triage, and detection engineering. Familiarity with privacy-preserving AI, including federated learning, differential privacy, secure aggregation, confidential computing, and multiparty computation. Understanding of explainable and auditable AI, including interpretability, uncertainty, evidence traceability, and decision provenance. Experience using generative AI, world models, digital twins, or multi-agent simulations for red teaming, mission rehearsal, synthetic data, and defensive testing. Familiarity with embodied AI, including vision-language-action models, spatial reasoning, robotics, autonomous systems, reinforcement learning, and human-machine teaming. Working knowledge of modern AI architectures, including Transformers, mixture-of-experts, diffusion, state-space, retrieval, multimodal, agentic, and edge AI systems. Understanding of the AI lifecycle, including data preparation, training, adaptation, evaluation, deployment, monitoring, governance, and retirement. Experience with MLOps , LLMOps , or AgentOps practices and supporting production infrastructure. Hands-on experience with Python, JavaScript/TypeScript, Go, or Rust and with cloud, GPU, API, container, or production data environments. Ability to assess emerging AI technologies, separate demonstrated performance from marketing claims, and evaluate mission value, limitations, risks, and adoption barriers. Commitment to continued understanding of new AI technologies and their strategic advantages. Capable of analyzing complex problems including identifying root cause issues, generating a concise summary of analysis; and presenting recommendations for non-technical audiences. Startup or entrepreneurial experience and proven ability to thrive in a non-traditional, entrepreneurial environment. Comfortable presenting complex technology subjects to both technical and non-technical audiences. Prior experience working with the U.S. Intelligence Community. Strong writer: experience in both technical writing and proposal/contract writing is preferred. To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed are representative of the knowledge, skill, and/or ability required . Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. PM22 PIbf9d389b17d0-6301
Company Description The Bosch Research and Technology Center North America with offices in Sunnyvale, California, Pittsburgh, Pennsylvania, and Cambridge, Massachusetts is a part of the global Bosch Group (), a company with over 70 billion euro revenue, 400,000 employees worldwide, a very diverse product portfolio, and a history spanning over 125 years. The Research and Technology Center North America (RTC-NA) is dedicated to providing technologies and system solutions for various Bosch business fields, primarily in the field of artificial intelligence, energy technologies, internet technologies, circuit design, semiconductors and wireless, as well as advanced MEMS design. As a part of the global research, our AI research in Silicon Valley focuses on Foundation Models, Big Data Visual Analytics, Explainable AI (XAI), Natural Language Processing, Computer Vision & Mixed Reality, Cloud Robotics, Data Science, AI System Engineering, Time-series Analysis. We develop scalable, intelligent, and trustworthy AIoT solutions for Bosch products and services in application areas such as automated driving, advanced driver assistance systems (ADAS), robotics, smart manufacturing, enterprise AI, health care, smart home and building solutions. Originating from the AI research in Silicon Valley, our Foundation Model Powered AI Enablers group plays a pivotal role in shaping the future of industrial AI experiences for Bosch products and services. By fusing cutting-edge machine learning, data analysis, and interactive visualization technologies, we research and develop scalable and transparent AI & big data analytic solutions (e.g., audio, images, sensor logs) for a range of domains, including Industry 4.0 (I4.0), IoT, autonomous driving, and connected vehicles. Our award-winning team (IEEE VIS best paper & best paper runner-ups) actively collaborates with leading academic and industry groups to advance research ideas and disseminate findings in top AI conferences and journals, such as CVPR, ICCV, ICRA, ECCV, NeurIPS, ICLR, TVCG, SIGGRAPH. We Are Bosch. At Bosch, we shape the future by inventing high-quality technologies and services that spark enthusiasm and enrich people's lives. Our areas of activity are every bit as diverse as our outstanding Bosch teams around the world. Their creativity is the key to innovation through connected living, mobility, or industry. Let's grow together, enjoy more, and inspire each other. Work Reinvent yourself: At Bosch, you will evolve. Discover new directions: At Bosch, you will find your place. Balance your life: At Bosch, your job matches your lifestyle. Celebrate success: At Bosch, we celebrate you. Be yourself: At Bosch, we value values. Shape tomorrow: At Bosch, you change lives. Do you want beneficial technologies being shaped your ideas? Whether in the areas of mobility solutions, consumer goods, industrial technology or energy and building technology - with us, you will have the chance to improve quality of life all across the globe. Welcome to Bosch. Job Description Key Responsibilities: Conduct research on GenAI and Foundation models (FM) to address academic and industrial challenges in ADAS AI domain such as 3D reconstruction, world model, map and localization, data curation and auto-labeling, etc. Work with an international team of experts to transfer and apply the Bosch in-house GenAI / FM innovations and 3rd-party solutions to Bosch AI products and services, such as ADAS. Stay abreast of the latest technological advancements and market trends by attending academic conferences, technical events, and seminars. Offer expert insights to the management team in relevant technology sectors, aiding in strategic planning, R&D trajectory, and investment decisions. Document and disseminate research findings through high-caliber publications and/or patent submissions. Qualifications Basic Qualifications Ph.D. in Computer Science or Engineering, or a related discipline or master's degree with 3+ years industry experience (GenAI and/or world model related) after graduation 2+ years of research experience or equivalent graduate research experience on foundation models, including training, fine-tuning, and prompting In-depth experiences in deep learning, with work in at least two of the following areas: diffusion models, 3D reconstruction, world models Proficiency in one or more programming languages commonly used in systems research (e.g., Python, C++) and hands on experience with AI / NLP / CV libraries Publication record in top venues including CVPR, ICCV, ECCV, ICRA, IROS, RSS, NeurIPS, AAAI, ACL, EMNLP, and CoRL Strong interpersonal, communication, and teamwork capabilities Preferred Qualifications Strong background in math and statistics 3+ years experiences in industrial research Hands-on experience in product development in the above-mentioned areas for consumer/enterprise markets Experience in leading R&D project & team dealing with international customers Leadership skills with excellent English communication & teamwork skills Additional Information We offer a competitive base salary for this position with a range in US-California of $165,000 - $185,000 along with an annual corporate bonus, and a long-term incentive bonus designed to reward sustained impact and contribution over time. Within the salary range, the individual pay is determined based on several factors, including, but not limited to, work experience and job knowledge, complexity of the role, job location, etc. Your well-being matters at Bosch! We offer a a benefits package designed to empower you in every area of your life. This includes premium health coverage, a 401(k) with generous matching, resources for financial planning and goal setting, ample paid time off, parental leave, and comprehensive life and disability protection. Your Recruiter can share more details for this position during the interview process. Learn more about our full benefits offerings by visiting: . Equal Opportunity Employer, including disability / veterans. Culture and Benefits Bosch in the USA
08/01/2026
Full time
Company Description The Bosch Research and Technology Center North America with offices in Sunnyvale, California, Pittsburgh, Pennsylvania, and Cambridge, Massachusetts is a part of the global Bosch Group (), a company with over 70 billion euro revenue, 400,000 employees worldwide, a very diverse product portfolio, and a history spanning over 125 years. The Research and Technology Center North America (RTC-NA) is dedicated to providing technologies and system solutions for various Bosch business fields, primarily in the field of artificial intelligence, energy technologies, internet technologies, circuit design, semiconductors and wireless, as well as advanced MEMS design. As a part of the global research, our AI research in Silicon Valley focuses on Foundation Models, Big Data Visual Analytics, Explainable AI (XAI), Natural Language Processing, Computer Vision & Mixed Reality, Cloud Robotics, Data Science, AI System Engineering, Time-series Analysis. We develop scalable, intelligent, and trustworthy AIoT solutions for Bosch products and services in application areas such as automated driving, advanced driver assistance systems (ADAS), robotics, smart manufacturing, enterprise AI, health care, smart home and building solutions. Originating from the AI research in Silicon Valley, our Foundation Model Powered AI Enablers group plays a pivotal role in shaping the future of industrial AI experiences for Bosch products and services. By fusing cutting-edge machine learning, data analysis, and interactive visualization technologies, we research and develop scalable and transparent AI & big data analytic solutions (e.g., audio, images, sensor logs) for a range of domains, including Industry 4.0 (I4.0), IoT, autonomous driving, and connected vehicles. Our award-winning team (IEEE VIS best paper & best paper runner-ups) actively collaborates with leading academic and industry groups to advance research ideas and disseminate findings in top AI conferences and journals, such as CVPR, ICCV, ICRA, ECCV, NeurIPS, ICLR, TVCG, SIGGRAPH. We Are Bosch. At Bosch, we shape the future by inventing high-quality technologies and services that spark enthusiasm and enrich people's lives. Our areas of activity are every bit as diverse as our outstanding Bosch teams around the world. Their creativity is the key to innovation through connected living, mobility, or industry. Let's grow together, enjoy more, and inspire each other. Work Reinvent yourself: At Bosch, you will evolve. Discover new directions: At Bosch, you will find your place. Balance your life: At Bosch, your job matches your lifestyle. Celebrate success: At Bosch, we celebrate you. Be yourself: At Bosch, we value values. Shape tomorrow: At Bosch, you change lives. Do you want beneficial technologies being shaped your ideas? Whether in the areas of mobility solutions, consumer goods, industrial technology or energy and building technology - with us, you will have the chance to improve quality of life all across the globe. Welcome to Bosch. Job Description Key Responsibilities: Conduct research on GenAI and Foundation models (FM) to address academic and industrial challenges in ADAS AI domain such as 3D reconstruction, world model, map and localization, data curation and auto-labeling, etc. Work with an international team of experts to transfer and apply the Bosch in-house GenAI / FM innovations and 3rd-party solutions to Bosch AI products and services, such as ADAS. Stay abreast of the latest technological advancements and market trends by attending academic conferences, technical events, and seminars. Offer expert insights to the management team in relevant technology sectors, aiding in strategic planning, R&D trajectory, and investment decisions. Document and disseminate research findings through high-caliber publications and/or patent submissions. Qualifications Basic Qualifications Ph.D. in Computer Science or Engineering, or a related discipline or master's degree with 3+ years industry experience (GenAI and/or world model related) after graduation 2+ years of research experience or equivalent graduate research experience on foundation models, including training, fine-tuning, and prompting In-depth experiences in deep learning, with work in at least two of the following areas: diffusion models, 3D reconstruction, world models Proficiency in one or more programming languages commonly used in systems research (e.g., Python, C++) and hands on experience with AI / NLP / CV libraries Publication record in top venues including CVPR, ICCV, ECCV, ICRA, IROS, RSS, NeurIPS, AAAI, ACL, EMNLP, and CoRL Strong interpersonal, communication, and teamwork capabilities Preferred Qualifications Strong background in math and statistics 3+ years experiences in industrial research Hands-on experience in product development in the above-mentioned areas for consumer/enterprise markets Experience in leading R&D project & team dealing with international customers Leadership skills with excellent English communication & teamwork skills Additional Information We offer a competitive base salary for this position with a range in US-California of $165,000 - $185,000 along with an annual corporate bonus, and a long-term incentive bonus designed to reward sustained impact and contribution over time. Within the salary range, the individual pay is determined based on several factors, including, but not limited to, work experience and job knowledge, complexity of the role, job location, etc. Your well-being matters at Bosch! We offer a a benefits package designed to empower you in every area of your life. This includes premium health coverage, a 401(k) with generous matching, resources for financial planning and goal setting, ample paid time off, parental leave, and comprehensive life and disability protection. Your Recruiter can share more details for this position during the interview process. Learn more about our full benefits offerings by visiting: . Equal Opportunity Employer, including disability / veterans. Culture and Benefits Bosch in the USA