Candidate will be a part of the Advanced Analytics team within IMU - HLS and SGU – Domain Platforms contribute to analytics projects for Payers, Providers and Life Sciences organizations. Candidate is expected to amalgamate cutting-edge approaches with domain expertise to enhance client's business needs. Experience in managing delivery of complex analysis driven consulting type of projects or advanced analytics driven AI/ML projects will add value to the candidature.
Skilled AI Developer to design and deploy AI solutions using LLMs.
Build scalable gen AI applications involving cloud based databricks environment.
Key Responsibilities: Data Engineering, RAG architecture, Cloud integration, API development and integration, Performance Tuning (Optimize model inference latency, throughput and compute costs.
Lead project delivery individually or along with other members by - gathering requirements, aligning on scope, designing the approach, generating a plan of action, executing delivery and managing stakeholder (client/internal) expectations
Experience/aptitude for developing solutions from scratch and translating analytics outputs into tangible business ready solutions
Facilitate data enabled decision making for customers by developing & communicating qualitative/quantitative analytics
Intermediate to expert level of proficiency in coding with Python/R programming for data science
Good to have working experience on one of the cloud platforms (AWS, Azure, GCP)
Good to have knowledge of US Healthcare industry (Data sources, Stakeholders etc.)
Ability to work with Clients, SMEs & other stakeholders to successfully understand and contribute in designing project/solution approach
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Out-of-box thinking, being a team player and passion for solving complex problems are some key attributes expected
Conduct all job functions and responsibilities in accordance with all company Compliance, Information Security and Regulatory policies, procedures and programs.
Skilled AI Developer to design and deploy AI solutions using LLMs.
Build scalable gen AI applications involving cloud based databricks environment.
Key Responsibilities: Data Engineering, RAG architecture, Cloud integration, API development and integration, Performance Tuning (Optimize model inference latency, throughput and compute costs.
Lead project delivery individually or along with other members by - gathering requirements, aligning on scope, designing the approach, generating a plan of action, executing delivery and managing stakeholder (client/internal) expectations
Experience/aptitude for developing solutions from scratch and translating analytics outputs into tangible business ready solutions
Facilitate data enabled decision making for customers by developing & communicating qualitative/quantitative analytics
Intermediate to expert level of proficiency in coding with Python/R programming for data science
Good to have working experience on one of the cloud platforms (AWS, Azure, GCP)
Good to have knowledge of US Healthcare industry (Data sources, Stakeholders etc.)
Ability to work with Clients, SMEs & other stakeholders to successfully understand and contribute in designing project/solution approach
Out-of-box thinking, being a team player and passion for solving complex problems are some key attributes expected
Conduct all job functions and responsibilities in accordance with all company Compliance, Information Security and Regulatory policies, procedures and programs.
Bachelor's degree in engineering, MCA or a related field. 3-6 years of experience in application development.
Skilled AI Developer to design and deploy AI solutions using LLMs. Build scalable gen AI applications involving cloud based databricks environment. Key Responsibilities: Data Engineering, RAG architecture, Cloud integration, API development and integration, Performance Tuning (Optimize model inference latency, throughput and compute costs.
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