Lead Assistant Manager - Lead Software Engineer

Responsibilities

• 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.
• 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