About this role
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 • 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.