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Mid‑level ML/AI role with popular skills and moderate employer brand increases applicant competition.
Core ML/AI and databricks skills transfer across industries, though healthcare domain knowledge is a plus.
Explicit 3–6 years plus required LLM, Databricks, Python/R and cloud skills makes filters strict.
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Design and deploy AI solutions using large language models (LLMs) within cloud-based Databricks environments.
Lead end-to-end delivery of advanced analytics and AI/ML projects including requirements gathering, solution design, execution, and stakeholder management.
Own data engineering tasks, RAG architecture, cloud integration, API development, and performance tuning to optimize model inference latency, throughput, and compute costs.
Bachelor's degree in engineering, MCA, or related field.
3-6 years of experience in application development with advanced analytics or AI/ML project delivery experience preferred.
Proficient in Python or R programming for data science.
Experience with cloud platforms (AWS, Azure, GCP) and knowledge of US Healthcare industry is good to have but not mandatory.
Experienced in managing delivery of complex, consulting-style analytics or AI/ML projects individually or in leadership roles within teams.
Skilled in developing scalable generative AI applications and integrating them in cloud environments with attention to performance optimization.
Capable of translating analytics outputs into actionable business solutions while effectively collaborating with clients, SMEs, and other stakeholders.