KMM Technologies, Inc.

KMM - an ISO 9001:2015, CMMI Level 2 certified company - provides high-quality IT consulting services and innovative solutions by using the most effective and modern technologies. We have a core group of Subject Matter Experts with certifications and immense experience in successfully delivering mission-critical solutions. We have extensive industry experience in the financial, insurance, Health IT, media, marketing, retail, and government markets. We have a proven track record in understanding client's business challenges, determine a customer-focused solution, and provide the technical implementation and documentation to bring it to fruition. Reach me on Position: Sr. Data Scientist Location: Reston, VA Duration: 12 Months Contract rate: $75/hr Job Description: Build Models and Products along with LLMs and GenAI on AWS Cloud Environment and Nice to have AgenticAI Extensive experience in component designing and technical engineering/ architecture from Healthcare Claim Systems (FEP Programs working in association with BCBS) The client requires (Specialized AWS and Generative AI Expertise) a candidate with hands-on experience building models and products specifically using LLMs (Large Language Models) and Generative AI within the AWS Cloud Environment. While not mandatory, familiarity with AgenticAI is listed as a nice to have, indicating a future focus on autonomous AI agents. Required Healthcare Domain Experience: A critical non-negotiable is extensive experience in component designing, technical engineering, and architecture specifically for Healthcare Claim Systems. The candidate must be able to translate business priorities into data science deliverables, communicate complex models to non-technical stakeholders, and collaborate to innovate organizational performance. The candidate must possess advanced knowledge of software engineering principles to build robust and scalable software, not just ad-hoc models. This is paired with a requirement for proficiency in advanced SQL across multiple syntaxes, emphasizing the need for complex data extraction and manipulation capabilities. The client values expertise beyond just building models. Skilled in the full lifecycle, including model evaluation, tuning, operationalization, and scalability. Must be able to leverage various data science tools to explore patterns, understand data limitations, and apply algorithms to derive actionable insights. Required hands-on experience building products using LLMs and GenAI on AWS. Thanks and Regards, LAXMAN Team Lead - Talent Acquisition KMM Technologies, Inc. CMMI Level 2 ISO 9001 ISO 20000 ISO 27000 Certified WOSB, SBA 8(A), MDOT MBE and NMSDC MBE Contract Vehicles: 8(a) STARS III and Schedule 70 Tel: Email: AWS, GenAI, LLMs, Built Models, Products in Healthcare Systems

KMM - an ISO 9001:2015, CMMI Level 2 certified company - provides high-quality IT consulting services and innovative solutions by using the most effective and modern technologies. We have a core group of Subject Matter Experts with certifications and immense experience in successfully delivering mission-critical solutions. We have extensive industry experience in the financial, insurance, Health IT, media, marketing, retail, and government markets. We have a proven track record in understanding client's business challenges, determine a customer-focused solution, and provide the technical implementation and documentation to bring it to fruition. Full Stack Engineer (Java / AWS / Angular) Contract to Hire Engagement Type: Contract through end of year with strong potential for conversion to full time. Only folks that can work on KMM W2 (GCs and USCs) Location: Hybrid Reston, VA - Work as a hands-on Full Stack Engineer in a team of 7, supporting both new development and ongoing maintenance of an external facing training application. - Design, develop, and enhance applications using Java (backend), Angular (frontend), and AWS (cloud services). - Build and maintain high performance, reliable, and user-friendly web applications for lenders and trainers in the capital markets sector. - Develop and maintain both UI components and backend services, supporting user workflows and data processing. - Implement and automate testing across UI and backend layers; validate user stories end to end. - Collaborate using GitHub-based workflows (branching, pull requests, code reviews) and optionally leverage GitHub Copilot. - Work directly in AWS environments, supporting application deployment, optimization, and cloud-native best practices. - Provide production support, troubleshoot issues, and ensure the stability of mission-critical applications. - Collaborate closely within a development team and with product/engineering partners to deliver thoroughly tested solutions. - Required: Experience in Java, Angular, AWS, test automation, GitHub, and external facing application development. - Preferred: Capital markets experience and familiarity with GitHub Copilot. Full Stack Engineer (Java / AWS / Angular)

KMM - an ISO 9001:2015, CMMI Level 2 certified company - provides high-quality IT consulting services and innovative solutions by using the most effective and modern technologies. We have a core group of Subject Matter Experts with certifications and immense experience in successfully delivering mission-critical solutions. We have extensive industry experience in the financial, insurance, Health IT, media, marketing, retail, and government markets. We have a proven track record in understanding client's business challenges, determine a customer-focused solution, and provide the technical implementation and documentation to bring it to fruition. Position: AI Engineer Location: Reston, VA (3 days a week onsite) Description: Develop and optimize machine learning and deep learning models using frameworks like TensorFlow or PyTorch. Strong skills in programming languages such as Python, R, or Java, essential for developing AI applications. Build and maintain AI pipelines, from data processing to model deployment. Analyze complex datasets to uncover insights and improve model performance. Ability to analyze complex problems and develop effective AI-driven solutions. Deploy AI solutions on cloud platforms such as AWS. Collaborate with technical and business teams to identify AI opportunities and deliver impactful solutions. Deep understanding of deploying AI applications within a CICD environment, specifically AWS. Preferred qualifications: Experience with MLOps tools (e.g., MLflow, Kubeflow). Knowledge of big data technologies (Spark, Hadoop, Databricks). Background in NLP, computer vision, or other advanced AI techniques. Relevant certifications (Coursera, edX, AWS, Azure, Google Cloud). Required qualifications: Strong programming skills in Python, R, or Java. Hands-on experience with machine learning algorithms and frameworks. Familiarity with major cloud platforms for AI deployment. Strong analytical and problem solving skills. Solid foundation in mathematics and statistics. AI Engineer