Job Description
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