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Tier-1 brand, metro location, mid-level ML role and remote flexibility increase applicant competition.
Core ML/LLM skills are widely transferable across industries despite preferred healthcare experience.
Explicit 5–8 years plus mandatory LLM, RAG, LangChain, Python, SQL, and productionization experience.
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Lead the design, development, and deployment of AI/ML and GenAI solutions supporting specialty pharmacy operations, owning end-to-end projects.
Build and productionize LLM-powered applications and retrieval-augmented generation (RAG) systems using frameworks like LangChain, ensuring measurable and explainable results.
Translate complex business problems into scalable technical systems and collaborate with engineering teams to deliver APIs and containerized services.
5-8 years of experience in data science, AI/ML, or advanced analytics roles with proven end-to-end solution delivery ownership.
Bachelor’s or master’s degree in Computer Science, Engineering, Data Science, or related field.
Strong proficiency in Python and SQL with experience handling complex datasets and advanced feature engineering.
Hands-on experience with LLMs, RAG systems (vector DBs, embeddings, retrieval), LangChain or similar frameworks, and familiarity with APIs, microservices, and deployment patterns.
Experienced in deploying complex AI/ML solutions in production environments, especially large language model–based applications within operational or specialty pharmacy contexts.
Familiar with integrating structured and unstructured data streams and building multi-step reasoning or agent-like AI workflows.
Comfortable working within hybrid cloud and engineering teams, operating in a US-overlapping timezone from Hyderabad with flexibility for remote work.