1906 jobs found

Machine Learning Engineer 5 Do you love building and pioneering in the AI and technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors who love to solve real problems and meet real customer needs. We are seeking Machine Learning Engineers who are passionate about leveraging cutting-edge open source frameworks, advanced algorithms, and emerging technologies to join our team. As a Machine Learning Engineer, you'll have the opportunity to be on the forefront of driving major AI transformations and scaling production models across Capital One. What You'll Do: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams Build and scale massive multi-tenant platforms that enable running large footprint ML model training and/or serving at scale Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation) Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications Retrain, maintain, and monitor models in production Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. Construct optimized data pipelines to feed ML models Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI Use programming languages like Python, Scala, or Java Basic Qualifications: Bachelor's Degree or higher in Computer Science, Machine Learning or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering) At least 6 years of experience programming with Python, Java, Golang, or C++ At least 6 years of Machine Learning experience using industry standard frameworks PyTorch or Tensorflow and libraries (Pandas, NumPy, Scikit-learn) At least 6 years of experience using and operating large scale distributed systems (Spark, Ray) to prepare AI or Machine Learning data At least 4 years of experience deploying and operating Machine Learning solutions in production and operating production services in the cloud (AWS, GCP, Azure) and using Kubernetes to manage large scale containerized Machine Learning software systems Preferred Qualifications: Master's or Doctoral Degree in Computer Science, Electrical Engineering, Mathematics, or related field 5+ years of experience optimizing ML algorithms, configurations, and infrastructure 5+ years of experience following software development best practices including source control, testing, code reviews, CI/CD, etc. 5+ years of experience building resilient software solutions with pre-production testing, advanced deployment techniques (one-box, blue/green, gradual dial-up), monitoring, alarms, and preparing incident response plans 5+ years of experience working with Machine Learning techniques (Supervised, semi-supervised, and unsupervised, reinforcement learning, etc.) model types (Regression, Classification, Clustering, etc.), model Architectures (RNNs, CNNs, LSTMs, Transformers), training concepts (loss function, hyperparameters, regularization), and how to evaluate model accuracy and diagnose and address common issues (underfitting, overfitting) 5+ years of experience designing, implementing, and scaling production-ready data pipelines for training and evaluating ML models ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents Ability to communicate complex technical and machine learning concepts clearly to a variety of audiences Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $229,900 - $262,400 for Machine Learning Engineer 5 New York, NY: $250,800 - $286,200 for Machine Learning Engineer 5 Plano, TX: $209,000 - $238,500 for Machine Learning Engineer 5 Richmond, VA: $209,000 - $238,500 for Machine Learning Engineer 5 San Francisco, CA: $250,800 - $286,200 for Machine Learning Engineer 5 Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Job Description Job Description The Data Analytics and Reporting Manager is responsible for leading the day-to-day execution of OANA's Data & Analytics organization, ensuring the successful delivery of reporting, analytics, data engineering, data integration, and operational data services across the enterprise. This role serves as the operational leader of the Data Team and is accountable for managing the team's daily workload, project execution, production support, incident management, stakeholder engagement, and personnel development. The Data Analytics and Reporting Manager executes the strategic vision established by the Director of Data & Software Development and ensures alignment with enterprise architecture, governance standards, and business priorities. As OANA continues its modernization journey through the Cortex Data Mesh platform, this role will help drive the implementation and operation of enterprise data products, APIs, reporting solutions, and analytical capabilities that support Underwriting, Claims, Accounting, Sales, Risk Management, and future business domains. KEY RESPONSIBILITIES Team Leadership & People Management Lead and manage daily operations of the Data & Analytics team Conduct regular one-on-one meetings and performance reviews Manage employee performance, coaching, mentoring, and career development Establish workload priorities and resource allocation Support recruiting, interviewing, onboarding, and training activities Develop succession plans and growth opportunities within the team Foster a culture of accountability, continuous improvement, and customer service Data Delivery & Operational Management Own successful execution of enterprise reporting, dashboards, data products, and engineering initiatives Ensure timely delivery of Accounting month-end, Claims, Underwriting, Executive, and Regulatory reporting Manage data integration efforts, operational support, production incidents, and data quality investigations Monitor team performance against service level agreements and delivery commitments Project & Portfolio Execution Oversee data platform initiatives, BI projects, reporting enhancements, data migration, and API development Lead sprint planning, backlog grooming, resource planning, and task prioritization Manage dependencies, identify risks, and maintain stakeholder communication Provide regular status updates to the Director of Data & Software Development Incident & Production Support Management Serve as operational owner for data incidents, reporting failures, integration/ETL issues, and data quality concerns Lead incident triage, root cause analysis, escalation management, and resolution tracking Develop preventative action plans and maintain proper monitoring and support processes Data Product & Data Mesh Operations Support implementation and operation of OANA's Cortex Data Mesh architecture Manage data product lifecycle, quality monitoring, domain ownership, and data catalog maintenance Ensure data products remain aligned with enterprise standards and business requirements API & Integration Delivery Lead operational delivery of APIs and integrations, including but not limited to Guidewire InsuranceSuite. Manage API backlog, integration prioritization, data contracts, and performance monitoring Support the evolution of Cortex as the enterprise source of truth and integration hub Stakeholder Management Act as primary operational contact for Accounting, Claims, Underwriting, Sales, Risk Management, and IT Operations Lead requirement clarification, prioritization discussions, status communications, and issue resolution Escalate strategic decisions and conflicts to the Director. TECHNICAL RESPONSIBILITIES The Data Analytics and Reporting Manager should possess sufficient technical expertise to guide the team, review designs, and participate in solution architecture discussions across the following areas: Data Architecture Data Mesh, Data Warehouse, Data Lakehouse, Operational Data Stores Master Data Management and Data Product architecture Software Development Practices Agile/Scrum, SDLC, CI/CD, Source Control, API Lifecycle Management, Testing Methodologies Data Engineering ETL/ELT methodologies, data modeling, transformation and quality frameworks, data lineage Analytics & Reporting Executive dashboards, operational reporting, self-service analytics, KPI development, performance scorecard Required Qualifications Bachelor's degree in Computer Science, Information Systems, Engineering, Analytics, or related field 10+ years in Data Analytics, Business Intelligence, Data Engineering, or Data Management 10+ years of Property & Casualty insurance industry experience 3+ years of leadership experience managing technical teams Experience managing both analysts and engineers Experience delivering enterprise reporting and analytics solutions Strong understanding of data architecture principles Experience leading Agile teams and project delivery Strong communication and stakeholder management skills

Machine Learning Engineer 5 Do you love building and pioneering in the AI and technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors who love to solve real problems and meet real customer needs. We are seeking Machine Learning Engineers who are passionate about leveraging cutting-edge open source frameworks, advanced algorithms, and emerging technologies to join our team. As a Machine Learning Engineer, you'll have the opportunity to be on the forefront of driving major AI transformations and scaling production models across Capital One. What You'll Do: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams Build and scale massive multi-tenant platforms that enable running large footprint ML model training and/or serving at scale Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation) Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications Retrain, maintain, and monitor models in production Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. Construct optimized data pipelines to feed ML models Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI Use programming languages like Python, Scala, or Java Basic Qualifications: Bachelor's Degree or higher in Computer Science, Machine Learning or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering) At least 6 years of experience programming with Python, Java, Golang, or C++ At least 6 years of Machine Learning experience using industry standard frameworks PyTorch or Tensorflow and libraries (Pandas, NumPy, Scikit-learn) At least 6 years of experience using and operating large scale distributed systems (Spark, Ray) to prepare AI or Machine Learning data At least 4 years of experience deploying and operating Machine Learning solutions in production and operating production services in the cloud (AWS, GCP, Azure) and using Kubernetes to manage large scale containerized Machine Learning software systems Preferred Qualifications: Master's or Doctoral Degree in Computer Science, Electrical Engineering, Mathematics, or related field 5+ years of experience optimizing ML algorithms, configurations, and infrastructure 5+ years of experience following software development best practices including source control, testing, code reviews, CI/CD, etc. 5+ years of experience building resilient software solutions with pre-production testing, advanced deployment techniques (one-box, blue/green, gradual dial-up), monitoring, alarms, and preparing incident response plans 5+ years of experience working with Machine Learning techniques (Supervised, semi-supervised, and unsupervised, reinforcement learning, etc.) model types (Regression, Classification, Clustering, etc.), model Architectures (RNNs, CNNs, LSTMs, Transformers), training concepts (loss function, hyperparameters, regularization), and how to evaluate model accuracy and diagnose and address common issues (underfitting, overfitting) 5+ years of experience designing, implementing, and scaling production-ready data pipelines for training and evaluating ML models ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents Ability to communicate complex technical and machine learning concepts clearly to a variety of audiences Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $229,900 - $262,400 for Machine Learning Engineer 5 New York, NY: $250,800 - $286,200 for Machine Learning Engineer 5 Plano, TX: $209,000 - $238,500 for Machine Learning Engineer 5 Richmond, VA: $209,000 - $238,500 for Machine Learning Engineer 5 San Francisco, CA: $250,800 - $286,200 for Machine Learning Engineer 5 Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Machine Learning Engineer 5 Do you love building and pioneering in the AI and technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors who love to solve real problems and meet real customer needs. We are seeking Machine Learning Engineers who are passionate about leveraging cutting-edge open source frameworks, advanced algorithms, and emerging technologies to join our team. As a Machine Learning Engineer, you'll have the opportunity to be on the forefront of driving major AI transformations and scaling production models across Capital One. What You'll Do: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams Build and scale massive multi-tenant platforms that enable running large footprint ML model training and/or serving at scale Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation) Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications Retrain, maintain, and monitor models in production Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. Construct optimized data pipelines to feed ML models Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI Use programming languages like Python, Scala, or Java Basic Qualifications: Bachelor's Degree or higher in Computer Science, Machine Learning or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering) At least 6 years of experience programming with Python, Java, Golang, or C++ At least 6 years of Machine Learning experience using industry standard frameworks PyTorch or Tensorflow and libraries (Pandas, NumPy, Scikit-learn) At least 6 years of experience using and operating large scale distributed systems (Spark, Ray) to prepare AI or Machine Learning data At least 4 years of experience deploying and operating Machine Learning solutions in production and operating production services in the cloud (AWS, GCP, Azure) and using Kubernetes to manage large scale containerized Machine Learning software systems Preferred Qualifications: Master's or Doctoral Degree in Computer Science, Electrical Engineering, Mathematics, or related field 5+ years of experience optimizing ML algorithms, configurations, and infrastructure 5+ years of experience following software development best practices including source control, testing, code reviews, CI/CD, etc. 5+ years of experience building resilient software solutions with pre-production testing, advanced deployment techniques (one-box, blue/green, gradual dial-up), monitoring, alarms, and preparing incident response plans 5+ years of experience working with Machine Learning techniques (Supervised, semi-supervised, and unsupervised, reinforcement learning, etc.) model types (Regression, Classification, Clustering, etc.), model Architectures (RNNs, CNNs, LSTMs, Transformers), training concepts (loss function, hyperparameters, regularization), and how to evaluate model accuracy and diagnose and address common issues (underfitting, overfitting) 5+ years of experience designing, implementing, and scaling production-ready data pipelines for training and evaluating ML models ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents Ability to communicate complex technical and machine learning concepts clearly to a variety of audiences Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $229,900 - $262,400 for Machine Learning Engineer 5 New York, NY: $250,800 - $286,200 for Machine Learning Engineer 5 Plano, TX: $209,000 - $238,500 for Machine Learning Engineer 5 Richmond, VA: $209,000 - $238,500 for Machine Learning Engineer 5 San Francisco, CA: $250,800 - $286,200 for Machine Learning Engineer 5 Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Machine Learning Engineer 5 Do you love building and pioneering in the AI and technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors who love to solve real problems and meet real customer needs. We are seeking Machine Learning Engineers who are passionate about leveraging cutting-edge open source frameworks, advanced algorithms, and emerging technologies to join our team. As a Machine Learning Engineer, you'll have the opportunity to be on the forefront of driving major AI transformations and scaling production models across Capital One. What You'll Do: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams Build and scale massive multi-tenant platforms that enable running large footprint ML model training and/or serving at scale Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation) Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications Retrain, maintain, and monitor models in production Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. Construct optimized data pipelines to feed ML models Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI Use programming languages like Python, Scala, or Java Basic Qualifications: Bachelor's Degree or higher in Computer Science, Machine Learning or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering) At least 6 years of experience programming with Python, Java, Golang, or C++ At least 6 years of Machine Learning experience using industry standard frameworks PyTorch or Tensorflow and libraries (Pandas, NumPy, Scikit-learn) At least 6 years of experience using and operating large scale distributed systems (Spark, Ray) to prepare AI or Machine Learning data At least 4 years of experience deploying and operating Machine Learning solutions in production and operating production services in the cloud (AWS, GCP, Azure) and using Kubernetes to manage large scale containerized Machine Learning software systems Preferred Qualifications: Master's or Doctoral Degree in Computer Science, Electrical Engineering, Mathematics, or related field 5+ years of experience optimizing ML algorithms, configurations, and infrastructure 5+ years of experience following software development best practices including source control, testing, code reviews, CI/CD, etc. 5+ years of experience building resilient software solutions with pre-production testing, advanced deployment techniques (one-box, blue/green, gradual dial-up), monitoring, alarms, and preparing incident response plans 5+ years of experience working with Machine Learning techniques (Supervised, semi-supervised, and unsupervised, reinforcement learning, etc.) model types (Regression, Classification, Clustering, etc.), model Architectures (RNNs, CNNs, LSTMs, Transformers), training concepts (loss function, hyperparameters, regularization), and how to evaluate model accuracy and diagnose and address common issues (underfitting, overfitting) 5+ years of experience designing, implementing, and scaling production-ready data pipelines for training and evaluating ML models ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents Ability to communicate complex technical and machine learning concepts clearly to a variety of audiences Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $229,900 - $262,400 for Machine Learning Engineer 5 New York, NY: $250,800 - $286,200 for Machine Learning Engineer 5 Plano, TX: $209,000 - $238,500 for Machine Learning Engineer 5 Richmond, VA: $209,000 - $238,500 for Machine Learning Engineer 5 San Francisco, CA: $250,800 - $286,200 for Machine Learning Engineer 5 Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Location: Onsite, American Fork, Utah The Automation Engineer designs, implements, and maintains industrial automation, control, and instrumentation systems. This role requires expertise in electrical design, control programming, instrumentation, and system troubleshooting. The ideal candidate is detail-oriented, analytical, and thrives in a fast-paced manufacturing environment. Essential Functions Include: Design and develop industrial automation systems, including PLC, HMI, and SCADA applications. Program, test, and commission PLC/HMI control systems for new and existing equipment Design, construct, modify, and maintain control panel layouts and electrical schematics. Develop and update P&IDs and instrumentation diagrams using CAD software. Develop Functional Design Specifications and Control Narratives Specify, integrate, and calibrate industrial sensors and measurement devices. Troubleshoot automation hardware and instrumentation issues Ensure compliance with industry standards, safety regulations, and company policies. Lead and manage automation initiatives during entire project lifecycle from concept through commissioning Collaborate with engineering, maintenance, and production teams to improve automation and control processes. Stay current with emerging automation technologies and best practices. Perform other duties as assigned Qualifications Include: Bachelor's degree in electrical engineering, automation engineering, or related field. Hands-on experience with PLC programming and HMI/SCADA development (Ignition preferred) Experience in commissioning activities, including I/O checks and sequence testing. Familiarity with motor controls, PID loops, VFDs, sensors, and industrial instrumentation. Ability to read, redline, and update electrical schematics, P&IDs, and technical documentation. Strong analytical, troubleshooting, and problem-solving skills. Excellent communication and teamwork abilities Ability to travel up to 40% to company and supplier sites across North America. Preferred Qualifications: 2+ years of relative experience Proficiency with electrical design tools (AutoCAD Electrical or EPLAN preferred). Experience designing and constructing control panels utilizing applicable design standards. Strong Knowledge of industrial communication protocols such as Modbus, Ethernet/IP, etc. Understanding database integration including SQL, MES, or data historians. Experience with controls for utilities systems, such as steam, refrigeration, etc. Food Safety Requirements: Place high priority on food safety, quality, and sanitation by understanding and executing Thrive Freeze Dry's food safety and sanitation policies and procedures. Hold self and others accountable to Thrive Freeze Dry's food safety & sanitation guidelines and policies by communicating any food safety incident, observation, or opportunity to your leadership team or teammates. Physical Requirements - Must be able to perform the following functions with or without accommodations: Consistent and reliable attendance The usual and customary methods of performing the job's functions require the following physical demands: some lifting, carrying, pushing, and/or pulling; some stooping, kneeling, crouching, and/or crawling; and frequent fine finger dexterity. Generally, the job requires the following percentages of time committed to physical activity: 50% or more sitting, 50% or more walking, and 50% or more standing. The job is performed under some temperature variations and in a food manufacturing production environment. Unrestricted visual and audio abilities are required for the safety of all employees. The ability to lift to 40 lbs. is required. PI573460cbadb3-4784

Job Description Job Description Strong SCADA Skills? We've Got Projects That Go Beyond the Screen. We are RED Group. And We're Thinking Ahead. RED Group is an Industrial Control Systems (ICS) technology development and integration firm specializing in Process Automation, IT/OT Consulting, and Industrial Cybersecurity. We stand out in experience and expertise. We are committed to an employee-centric culture of success where we put our people first and give our staff the opportunities and push that they need to succeed and improve. As a result, they give their utmost to help our clients and get better at what they do each day. Our mission is to add value to our clients' organizations by selecting and deploying the proper resources and technology to ensure their goals are realized. Our team of Engineers, Consultants, Programmers, and Technicians provide the valuable expertise necessary for efficient and secure ICS/OT environments. TAKE CONTROL and join our team as a SCADA Developer ! We're looking for a motivated individual to be part of our innovative and collaborative team. This role offers a blend of in-office collaboration with on-site client support, offering the ideal mix of variety and challenge. If you're eager to contribute and grow, now is your chance to TAKE CONTROL and join our team! This role supports active, ongoing projects that require local travel. About the Role The SCADA Developer will be responsible for designing, developing, and maintaining SCADA systems to ensure optimal performance of industrial operations. Key Responsibilities Design, configure, and program SCADA systems to monitor and control industrial processes. Maintain and troubleshoot: SCADA network communications, databases, and industrial control systems. Develop and maintain HMI applications for real-time data visualization and control. Integrate SCADA systems with PLCs and other industrial devices. Troubleshoot and resolve SCADA system issues, including hardware and software problems. Conduct regular system maintenance, updates, and backups to ensure reliability and security. Consult with clients to conceptualize and deliver success. Interact with project managers, project team leads, other discipline leads, clients, contractors and other third parties. Qualifications & Skills Minimum of 7 years of experience as a SCADA Engineer with expertise in Ignition SCADA by Inductive Automation. Experience with the Perspective development environment preferred. Strong knowledge of SCADA software platforms such as Ignition, Wonderware, or similar. Inductive Automation Ignition Core Certification Preferred; Gold Certification a Plus. Proficient in PLC programming and integration with SCADA systems. Excellent problem-solving and troubleshooting skills. Ability to partner with clients, vendors, and other team members to deliver projects. Ability to manage and prioritize multiple projects and priorities. Strong interpersonal, verbal, and written communication skills. Foster a collaborative and engaging environment by upholding and embodying our Core Values: Be Dependable Cultivate Relationships Strive for Excellence Foster and promote a strong safety culture and follow company safety protocols. Why RED Group? Culture. Growth. Opportunity. At RED Group, we believe that a thriving workplace starts with a strong, employee-centric culture. Our focus on our people ensures they have the resources, support and opportunities needed to excel. Our commitment to success drives outstanding results in our client engagements, with our team always striving for excellence. If you join RED Group, you'll enjoy: A collaborative team environment that values your contribution. Competitive benefits, flexible schedules, and hybrid work options. The stability of a well-established company poised for exciting growth. A fun and rewarding career that challenges you while offering opportunities for you to grow and excel. If you're a self-starter looking for a fulfilling career filled with unique growth opportunities where you can challenge yourself, RED Group is the place for you. Work Authorization: Applicants must be authorized to work for any employer in the U.S. We are unable to sponsor or assume sponsorship of an employment visa at this time. Agency Submissions: RED Group does not accept unsolicited resumes from recruiting or staffing agencies. Agencies must have a current, signed agreement in place prior to submitting any candidate - resumes submitted without one will be considered the property of RED Group and no fees will be paid. Please do not forward resumes directly to employees or hiring managers.

Edward Jones is seeking an Engineer III to design, build, and optimize secure, scalable technology solutions that support our core finance and insurance platforms. In this role, you will lead complex application and integration projects, collaborate with product, security, and operations teams, and drive best practices in software engineering and cloud architecture. You will mentor junior engineers, improve reliability and performance of critical systems, and help modernize legacy applications, enabling our financial advisors to deliver client-first, long-term investment and retirement planning services. Responsibilities Design, develop, and maintain scalable applications supporting financial and insurance services Lead complex engineering projects from requirements through deployment and support Collaborate with product, security, and operations to define technical solutions and standards Implement secure coding, testing, and deployment best practices Optimize system performance, reliability, and observability for critical platforms Modernize and refactor legacy applications and services to modern architectures Develop and integrate APIs and data services for internal and external systems Mentor and provide technical guidance to junior and mid-level engineers Participate in code reviews and enforce engineering quality standards Contribute to technical roadmaps and continuous improvement initiatives Required Skills Object-oriented programming (e.g., Java, C#, or similar) Cloud platforms (AWS, Azure, or GCP) RESTful API design and integration Relational and/or No SQL databases CI/CD pipelines and Dev Ops practices Containerization (Docker, Kubernetes) Automated testing and test frameworks Monitoring, logging, and observability tools Secure software development practices System architecture and design patterns

Job Description Job Description The Data Analytics and Reporting Manager is responsible for leading the day-to-day execution of OANA's Data & Analytics organization, ensuring the successful delivery of reporting, analytics, data engineering, data integration, and operational data services across the enterprise. This role serves as the operational leader of the Data Team and is accountable for managing the team's daily workload, project execution, production support, incident management, stakeholder engagement, and personnel development. The Data Analytics and Reporting Manager executes the strategic vision established by the Director of Data & Software Development and ensures alignment with enterprise architecture, governance standards, and business priorities. As OANA continues its modernization journey through the Cortex Data Mesh platform, this role will help drive the implementation and operation of enterprise data products, APIs, reporting solutions, and analytical capabilities that support Underwriting, Claims, Accounting, Sales, Risk Management, and future business domains. KEY RESPONSIBILITIES Team Leadership & People Management Lead and manage daily operations of the Data & Analytics team Conduct regular one-on-one meetings and performance reviews Manage employee performance, coaching, mentoring, and career development Establish workload priorities and resource allocation Support recruiting, interviewing, onboarding, and training activities Develop succession plans and growth opportunities within the team Foster a culture of accountability, continuous improvement, and customer service Data Delivery & Operational Management Own successful execution of enterprise reporting, dashboards, data products, and engineering initiatives Ensure timely delivery of Accounting month-end, Claims, Underwriting, Executive, and Regulatory reporting Manage data integration efforts, operational support, production incidents, and data quality investigations Monitor team performance against service level agreements and delivery commitments Project & Portfolio Execution Oversee data platform initiatives, BI projects, reporting enhancements, data migration, and API development Lead sprint planning, backlog grooming, resource planning, and task prioritization Manage dependencies, identify risks, and maintain stakeholder communication Provide regular status updates to the Director of Data & Software Development Incident & Production Support Management Serve as operational owner for data incidents, reporting failures, integration/ETL issues, and data quality concerns Lead incident triage, root cause analysis, escalation management, and resolution tracking Develop preventative action plans and maintain proper monitoring and support processes Data Product & Data Mesh Operations Support implementation and operation of OANA's Cortex Data Mesh architecture Manage data product lifecycle, quality monitoring, domain ownership, and data catalog maintenance Ensure data products remain aligned with enterprise standards and business requirements API & Integration Delivery Lead operational delivery of APIs and integrations, including but not limited to Guidewire InsuranceSuite. Manage API backlog, integration prioritization, data contracts, and performance monitoring Support the evolution of Cortex as the enterprise source of truth and integration hub Stakeholder Management Act as primary operational contact for Accounting, Claims, Underwriting, Sales, Risk Management, and IT Operations Lead requirement clarification, prioritization discussions, status communications, and issue resolution Escalate strategic decisions and conflicts to the Director. TECHNICAL RESPONSIBILITIES The Data Analytics and Reporting Manager should possess sufficient technical expertise to guide the team, review designs, and participate in solution architecture discussions across the following areas: Data Architecture Data Mesh, Data Warehouse, Data Lakehouse, Operational Data Stores Master Data Management and Data Product architecture Software Development Practices Agile/Scrum, SDLC, CI/CD, Source Control, API Lifecycle Management, Testing Methodologies Data Engineering ETL/ELT methodologies, data modeling, transformation and quality frameworks, data lineage Analytics & Reporting Executive dashboards, operational reporting, self-service analytics, KPI development, performance scorecard Required Qualifications Bachelor's degree in Computer Science, Information Systems, Engineering, Analytics, or related field 10+ years in Data Analytics, Business Intelligence, Data Engineering, or Data Management 10+ years of Property & Casualty insurance industry experience 3+ years of leadership experience managing technical teams Experience managing both analysts and engineers Experience delivering enterprise reporting and analytics solutions Strong understanding of data architecture principles Experience leading Agile teams and project delivery Strong communication and stakeholder management skills

Job Description Job Description Open Systems Technologies Corporation is looking for an experienced Network Engineer to work on a long term contract supporting the FBI. The Network Engineer shall be responsible for design, deployment, testing, certification, patching, and addressing interoperability issues for all features, components and application dependencies. To include switches, firewalls, load balancers, software defined networking, private cloud requirements, etc. Responsibilities The Network Engineer shall design, implementation and ongoing support of the Networking Infrastructure within and between data centers. The Network Engineer shall serves as the advanced matter expert for all data center network environments. The Network Engineer shall create and maintain network infrastructure for both bare-metal and virtual machines with the appropriate LAN, WAN, vLAN, SDN, firewall and load balancer configurations, using both OEM and third party tools that include virtual network tools (NSX) and services. The Network Engineer shall provision/configure the required networking for servers and applications. The Network Engineer shall evaluate, improve, and maintain the information security throughout the data center network infrastructure. The Network Engineer shall monitor and correct critical network issues and create recovery processes for failures and performance bottlenecks. Provide real time alerts for network problem issues and implement proactive solutions for future problems to include re-design or tech refresh. The Network Engineer shall install, configure, test and maintain system management tools for all data center network components. The Network Engineer shall proactively ensure the highest levels of systems and infrastructure availability The Network Engineer shall monitor and test application performance for potential bottlenecks, identify possible solutions, and work with developers to implement those fixes The Network Engineer shall maintain security, backup, and redundancy strategies The Network Engineer shall write and maintain custom scripts to increase system efficiency and lower the human intervention time on any tasks, such as automated provisioning of addresses and VLANS with Infrastructure as a Service (IaaS). The Network Engineer shall participate in the design of information and operational support systems The Network Engineer shall provide 4th level support The Network Engineer shall liaise with vendors and other IT personnel for problem resolution The Network Engineer shall ensure technical documentation exists for all systems and is kept up to date to include inventory and patch levels of all systems to include hostnames, property numbers, IP addresses, enclave, number of cores, number of processors, admin passwords, certificates, and service accounts on a monthly interval. The Network Engineer shall provide real time alerts and dashboard information on network performance and availability. The Network Engineer shall document system configurations to include passwords, access controls, version number, and revision numbers, patch levels, and inventory to include hostnames, TCP/IP addresses, number of processors, and number of cores, memory, and license keys. The Network Engineer shall continually transition knowledge to the government staff through training and assistance on how to use the technology using industry best practices. The Network Engineer shall provide real-time reporting of provisioned and non-provisioned resources such as bandwidth utilized to include performance metrics for availability, performance and trends. Required Skills: Clearance: Top Secret willing to sit for the CI Poly Bachelor's degree preferred, and 6 years of experience required CCNA or higher certification required within 6 months of hire BENEFITS Our company OST has been operating since 1996 and have various contracts with Government agencies. We offer a comprehensive benefit package that includes 3 weeks paid time off, 2 weeks Holiday pay, medical/dental coverage, STD, LTD, Life Insurance, AD&D, 401k with up to 4% match, and end of year profit sharing paid out in 401k.

Edward Jones is seeking an Engineer III to design, build, and optimize secure, scalable technology solutions that support our finance and insurance platforms. In this role, you will lead complex application and integration projects, translate business and compliance requirements into technical designs, and mentor junior engineers. You will collaborate closely with product, security, and operations teams to deliver resilient, high availability systems that power client-facing tools, analytics, and back office services, while championing best practices in coding, testing, DevOps, and cloud engineering. Responsibilities Design and develop secure, scalable applications and services for finance and insurance platforms Translate business and regulatory requirements into robust technical solutions Lead complex engineering projects and provide technical direction to teams Implement and maintain CI/CD pipelines and Dev Ops practices Ensure system reliability, performance, and high availability Collaborate with product, security, and operations teams on solution design Conduct code reviews and enforce engineering best practices and standards Mentor and coach junior and mid level engineers Implement automated testing and quality assurance practices Contribute to cloud architecture and modernization initiatives Required Skills Software development (Java, C#, or similar OO language) Cloud platforms (AWS, Azure, or GCP) RESTful APIs and microservices architecture SQL and relational databases CI/CD tools (e.g., Jenkins, Git Hub Actions, Azure Dev Ops) Infrastructure as Code (e.g., Terraform, Cloud Formation) Automated testing frameworks (unit, integration, performance) Containerization and orchestration (Docker, Kubernetes) Secure coding and application security practices Monitoring and observability tools (e.g., Splunk, New Relic, Datadog)

Company: Alaska Airlines The Team: Guided by our purpose, core values, and leadership principles, we are creating an airline people love. Our corporate teams set the strategies and operational plans to ensure the success of our company. Whether we use our expertise in accounting, human resources, finance, planning, legal, marketing, or any of our operational divisions, our shared passion for travel and our guests is what motivates us to achieve excellence each day. If you share our passion for creating an airline people love, we want to hear from you. Role Summary: The Technology Compliance Program Manager Vulnerability Management is the sole subject matter expert in the technology compliance and vulnerability management domain. As an individual contributor, this role defines long-term strategy for the identification, assessment, prioritization, and remediation of security vulnerabilities across our technology environment and exercises considerable latitude and initiative to solve broad, complex problems. Key Duties: As the lead subject matter expert in technology compliance, ensure the vulnerability management program aligns with regulatory requirements (e.g., PCI-DSS, HIPAA, NIST, ISO 27001) and integrates with other security tools such as SIEM, CMDB, and ticketing systems. Define long-term strategy for developing, implementing, and continuously improving the enterprise vulnerability management strategy and roadmap. Influence across company and several levels up to execute on IT assessments focusing on compliance with information security policy, procedures and standards. Manage and optimize vulnerability management tools (e.g., Tenable, Qualys, Rapid7, etc.) to continuously improve the internal audit and risk management review. Consult Alaska Air Group divisions, IT departments and project resources regarding the development, management approval, and implementation of objectives, goals, policies, standards, guidelines, and other requirement statements needed to support information security compliance throughout the company. Serve as the primary point of contact between penetration testers and internal stakeholders, ensuring clear scope definition, rules of engagement, and minimal business disruption. Define and track key performance indicators (KPIs) and metrics to measure program effectiveness. Analyze and track findings, validate results, and work with relevant teams to prioritize and remediate identified vulnerabilities. Manage execution of timely delivery of reports to leadership and stakeholders, maintain documentation, and integrate findings into the broader vulnerability management lifecycle. Oversee regular vulnerability scanning and assessments across infrastructure, applications, and cloud environments. Facilitate, schedule, and coordinate internal and third-party penetration tests across applications, networks, and cloud environments. Maintain documentation and evidence for audits and compliance reviews. Job-Specific Experience, Education & Skills: Required 7 years of experience in IT Security and Compliance, or related area. Bachelor's degree in Information Security, Information Technology, Computer Science or related field, or an additional two years of relevant training/experience in lieu of this degree. Experience in project management, including all elements of scope, schedule, budgeting, risk evaluation, quality, integration, staffing, and communications. Knowledge of security regulations (e.g., Sarbanes-Oxley, Payment Card Industry Data Security Specification PCI DSS , Health Insurance Portability and Accountability Act HIPAA ) and standards (e.g. ISO 27001, NIST SP800-series). Excellent verbal and written communication skills. High school diploma or equivalent. Minimum age of 18. Must be authorized to work in the U.S. Preferred Industry certification in security (e.g. CISA, CISSP, and/or GIAC). Industry certification in project management (e.g. PMP). 2 years of experience leading people. Demonstrated knowledge and experience in information security, software development and/or network security for large organizations. Detailed technical knowledge in security engineering, system and network security, authentication and security protocols. Job-Specific Leadership Expectations: Embody our values to own safety, do the right thing, be caring and kind, and deliver performance. Create a culture where all employees feel safe and supported. Salary Range: $141,250 - $211,900 / year Salary Details: Pay will be based on multiple factors, including and not limited to location, relevant experience/level and skillset while balancing internal equity relative to other Alaska/Hawaiian/Horizon employees. Alaska/Hawaiian/Horizon is committed to fair, unbiased compensation along with competitive benefits in all locations in which we operate. Note: We don't typically hire at the top of the range. Total Rewards: Alaska Airlines, Hawaiian Airlines and Horizon Air pay and benefits can vary by company, location, number of regularly scheduled hours worked, length of employment, and employment status. Free stand-by travel privileges on Alaska Airlines, Hawaiian Airlines & Horizon Air Comprehensive well-being programs including medical, dental and vision benefits Generous 401k match program Annual bonus plans Generous holiday and paid time off For more information about Alaska/Hawaiian/Horizon Total Rewards please visit our career site and view benefits. Regulatory Information: Equal Employment Opportunity Policy Statement It is the policy of Alaska Airlines, Hawaiian Airlines and Horizon Air to comply with all applicable federal, state and local laws governing nondiscrimination in employment and to ensure equal opportunity in all terms, conditions, and benefits of employment or potential employment. We also prohibit discrimination and harassment against any employee or applicant for employment because of race, color, religion, sex, national origin, age, disability, veteran status, genetic information and other legally protected categories. We have established an EEO Compliance Program under Section 503 of the Rehabilitation Act of 1973 ("Section 503") and the Vietnam Era Veteran's Readjustment Assistance Act of 1974 ("VEVRAA"). All applicants and employees are treated without regard to their race, color, religion, sex, national origin, disability or protected veteran status. In addition, we have established an audit and reporting system to allow for effective measurement of its equal employment opportunity activities. To implement this policy, we will: (1) Recruit, hire, train and promote qualified persons in all job titles, without regard to race, color, religion, sex, national origin, age, disability, veteran status, genetic information and any other legally protected categories; (2) Ensure that employment decisions are based only on valid job requirements; and (3) Ensure that all personnel actions and employment activities such as compensation, benefits, promotions, layoffs, return from layoff, Alaska Airlines, Hawaiian Airlines and Horizon Air sponsored programs, and tuition assistance will be administered without regard to race, color, religion, sex, national origin, age, disability, veteran status, genetic information and other legally protected categories. Employees and applicants for employment will not be subjected to harassment, intimidation, threats, coercion or discrimination because they have engaged or may engage in (1) filing a complaint, (2) opposing any act or practice made unlawful by, or exercising any other right protected by, any Federal, State or local law requiring equal opportunity, including Section 503 and the equal opportunity provisions of VEVRAA, or (3) assisting or participating in any investigation, compliance evaluation, hearing, or any other activity related to the administration of any Federal, State or local law requiring equal opportunity, including Section 503 and the equal opportunity provisions of VEVRAA. Government Contractor & Department of Transportation (DOT) Regulations Alaska Airlines, Hawaiian Airlines & Horizon Air are regulated by the Department of Transportation (DOT - regulations, 49 CFR part 40) and all applicants are advised that post-offer and/or pre-employment drug testing will be conducted to determine the presence of marijuana, cocaine, opioids, phencyclidine (PCP) and amphetamines or a metabolite of these drugs prior to any offer or employment or transfer into a safety-sensitive position. Failure to submit to testing or positive indications of drug use will render the applicant ineligible for employment with Alaska Airlines/Hawaiian Airlines/Horizon Air and any employment offer will be withdrawn. FLSA Status: Exempt Employment Type: Full-Time Regular/Temporary: Regular Requisition Type: Management Location: Seattle - Hub Featured Job: 0 A Y - T2 L

Software Developer DEPARTMENT: Operations - Software REPORTS TO: Software Engineering Manager DIRECT REPORTS: None STATUS: Non-Exempt, Full-Time LOCATION: Holland Patent, NY, Hybrid Position PAY RANGE: $32.36 - $53.37 per hour ROLE OVERVIEW The Software Developer is responsible for using their knowledge of programming languages to design and create new software. Some of the duties include meeting with users to determine their software needs (requirements gathering), coding and testing software to ensure performance and functionality and managing APIs between system. ROLE CAPABILITIES Software Development & Maintenance Designs and builds software solutions based on defined requirementsMaintains and improves existing software across multiple functionality areasProduces efficient code that supports expected functionality and performanceManages APIs and integrations between systemsCorrects defects and implements fixes that restore expected behavior Software Collaboration Collaborates with management, departments, and customers to identify requirements and specificationsTranslates user needs into development tasks and technical specificationsWorks within a team environment to align development work to shared requirementsAssesses user feedback and observed issue patterns to recommend improvements Testing, Deployment & Issue Resolution Tests software to confirm performance and functionalityDeploys programs, applications, and release updatesTroubleshoots and debugs software issues across systems and integrationsIdentifies root causes and validates fixes before release Code Quality & Documentation Participates in code reviews to support code quality and consistencyRefactors code to improve maintainabilityDevelops technical documentation that supports future development workMaintains documentation aligned to system changes and improvements MINIMUM JOB QUALIFICATIONS: Associate's Degree in Computer Science and/or relevant working experienceA strong understanding of HTML and CSS, Database Design Principles, and Transact SQLA willingness to learn and use the PowerBuilder development language to maintain current in-house systemsDemonstrated ability to:Build and maintain trust-based relationshipsCommunicate effectively using a variety of technologies and methodsAdapt to changing priorities, processes, technologies, and business needs.Manage projects and priorities from planning through execution to achieve desired outcomes.Understand stakeholder needs, analyze information and data, and develop effective solutions that drive results.Valid driver's license or ability to access transportationAbility to reach, sit, stand, walk, push, pull, lift, use fingers, grasp, feel, talk, hear, and perform repetitive motions, exert up to 10 pounds of force occasionally and/or a negligible amount of force frequently or constantly to lift, carry, push, pull or otherwise move objects. PREFERRED JOB QUALIFICATIONS: Bachelor's Degree in Computer ScienceExperience using Visual Studio to build solutions, ASP.NET MVC and .NET Core using C#, JavaScript (ES6)Experience or understanding of Source Control systems, especially GitHubKnowledge of Object-Relational Mapping frameworks, especially Entity Framework SCORECARD METRICS: Reduce Lead-to-Billed Days to below 236.Improve Mean Time to Resolution (MTTR) to under 48 hours.Improve MACD completion to under 48 hours.Deliver automation and AI initiatives that reduce manual effort and improve operational performance. Compensation details: 32.36-53.37 Hourly Wage PIbd5fe6-

Job Description Job Description Job Description ACTIVE SECURITY CLEARANCE AT THE TS/SCI POLYGRAPH LEVEL IS REQUIRED The AI / RAG Software Engineer is responsible for designing, developing, deploying, and supporting Retrieval-Augmented Generation (RAG) solutions within a high-performance computing (HPC) Linux environment. In this role, the engineer works with Large Language Models (LLMs), LLM orchestration frameworks, knowledge retrieval systems, embedding models, and containerized architectures. The position requires strong expertise in Python, Kubernetes, Helm, CI/CD automation, and secure SI system development to deliver scalable, production-ready solutions in mission-critical environments. The annual base salary range for this role is $199,000-$235,000 (USD) , which does not include discretionary bonus compensation or our comprehensive benefits package. Actual compensation offered to the successful candidate may vary from posted hiring range based upon geographic location, work experience, education, and/or skill level, among other things. , Required Skills Linux Systems Proficiency: Proven experience in Linux environments, including advanced CLI use for software development, troubleshooting, and system administration. Python Engineering: Recent hands-on software development experience using Python, supported by strong knowledge of software engineering design patterns and frameworks. Generative SI RAG Knowledge: Working knowledge of Generative SI technologies, including Large Language Models (LLMs), RAG architectures, embedding models, and vector databases. Containerization Technologies: Experience with Docker, Podman, or containerd for application packaging, deployment, and lifecycle management in production environments. Kubernetes Helm: Hands-on experience creating, configuring, and managing Kubernetes resources (Deployments, Services, ConfigMaps, Secrets, Ingresses, Operators) and authoring Helm charts. CI/CD Automation: Experience building and maintaining CI/CD pipelines using GitLab CI/CD, Flux CD, GitLab Runners, or equivalent tools. Observability Monitoring: Experience deploying and leveraging metrics, logging, and monitoring platforms including Prometheus and Grafana. DevSecOps SDLC: Understanding of software development lifecycle (SDLC) best practices, automated testing, security scanning, code quality analysis, and DevSecOps principles. Version Control: Proficiency with Git-based workflows, including branching models, code reviews, and pull/merge requests. Education: Bachelor's Degree in Data Analytics, Intelligence Studies, Computer Science, Finance/Economics, or a related discipline, PLUS 7 + years of specialized data analytics or financial intelligence experience OR Master's Degree in a related field, PLUS 5 + years of specialized analytical experience OR High School Diploma / GED, PLUS 9 + years of hands-on intelligence analysis, financial tracking, and data discovery experience in lieu of a degree. , Desired Skills Cloud Engineering: Familiarity with developing, deploying, troubleshooting, and sustaining mission applications within AWS Cloud environments. GPU Acceleration: Experience developing, running, and debugging GPU-enabled applications and hardware workloads. Machine Learning Frameworks: Hands-on experience with ML frameworks (e.g., PyTorch, TensorFlow) and ML pipelines/platforms (e.g., KubeFlow, NeMo, PyTorch Lightning). Data Stores Search Engines: Experience working with SQL databases, Elasticsearch, and enterprise Vector databases. SI Inferencing Frameworks: Knowledge of high-performance SI inferencing and serving solutions such as vLLM, Nvidia NIM, or Triton Inference Server. Agile Tooling: Experience using the Atlassian suite (Jira, Confluence) for workflow management and documentation. , About Nyla Technology Solutions Nyla Technology Solutions delivers exceptional Artificial Intelligence (AI), Data Science, and Software Engineering services for the U.S. Government. Nyla embraces a forward-thinking and bold approach at every turn, earning us a solid reputation of technical trendsetters within the industry. We have a passion for developing solutions that have a quick and immediate impact on mission. Headquartered in Columbia, Maryland, our customers love how we tackle their most challenging problems and get things done. If you have the unique experience and expertise we are seeking, along with the desire and determination to invest your time and energy as a part of Nyla's team, Taking Care of All of You Nyla provides a top-of-market compensation and benefits package. And through our unique Nyla FLEX program, we custom tailor these benefits to best fit your lifestyle. The Nyla FLEX benefit program is designed to offer you flexibility in the 3 biggest areas of your life: your pay, your leave, and your schedule. PAY - Nyla starts with 4 weeks of Annual Leave plus 11 holidays and an additional day of Annual Leave for each year you're at the company. You have the flexibility to cash out your annual leave hours, opt out of other Nyla benefits, and/or arrange for additional hours on contract (over 40 hrs/week). There's even an option to earn 1.3 times your hourly rate once you work over 1880 hours on contract! LEAVE - Want to spend more time with the family? Want more time to travel the world? You can BUY additional annual leave for a total of 6 weeks of annual leave. That's up to 240 hours of leave plus 11 holidays! That's not even including paid anniversary leave! SCHEDULE - Does the traditional 40-hour workweek no longer fit your lifestyle? With Nyla FLEX, you have the freedom to scale down to 30-32 hours while still enjoying the top-notch Nyla benefits you know and love. It's flexibility that works for you without compromising the perks! WHAT ABOUT OTHER BENEFITS? Nyla's health care (medical, dental, and vision) is 100% covered by the company. We provide 10% 401k matching - with full vesting day 1! Our Professional Development offers $5,000 per year to be used towards fees, tuition, or time off for your continued growth. We even have a student loan repayment program and we provide 8 hours of volunteering annually so you can support your community, making your world a better place. To learn more about Nyla's culture and our exceptional benefit packages click here. Nyla is an equal opportunity employer.

Job Description Job Description DigitalCM is seeking an iOS Developer (On-site Tampa, FL) Job Description DigitalCM is seeking a motivated, detail-oriented iOS Developer to join our team in Tampa, FL. The ideal candidate has solid experience with Swift and SwiftUI, a strong understanding of mobile application development, and the ability to develop and maintain high-quality native applications across Apple platforms. Job Summary Develop and maintain native applications for iOS, iPadOS, and macOS, using Swift, SwiftUI, and UIKit when appropriate Implement features within offline-first architectures, including local storage and data synchronization. Integrate REST APIs, secure authentication, and local data persistence solutions Integrate third-party APIs, SDKs, libraries, and frameworks to extend application functionality and support external services. Follow established testing, security, and code-quality standards. Participate in code reviews and incorporate feedback. Diagnose difficult engineering problems and help transition prototypes into production-quality products. Collaborate directly with company leadership, customers, and engineering teams on technology initiatives. Job Qualifications 3+ years of professional software engineering experience. Solid proficiency in Swift/SwiftUI and familiarity with common iOS architectural patterns. Experience releasing and maintaining applications through App Store Connect, TestFlight, or enterprise distribution Experience with Git-based development workflows and collaborative code reviews. Must be eligible to obtain a Security Clearance (U.S. Citizenship Required) Adhere to the corporation's Standard Practice Procedures manual and DoD 5220.22-M when handling classified material, ensuring proper generation, marking, storage, handling, and destruction of classified material. Preferred Skills VisionOS, RealityKit, ARKit, RoomPlan, Metal, LiDAR, GIS, and Photogrammetry. Experience with Azure or another cloud service provider. Strong networking, API, and database knowledge. Cybersecurity, Rust, python, C/C++, or related systems technologies.