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Tier-1 brand, remote flexibility, mid-level generalist ML role, and metro location increase applicant competition.
Technical LLM and production skills transfer across industries, though healthcare domain experience is preferred.
Explicit 5–8 years plus mandatory LLM, RAG, LangChain and productionization experience indicates strict filters.
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Lead design and delivery of AI/ML and Generative AI solutions supporting specialty pharmacy operations, ensuring end-to-end project ownership from problem translation to production.
Develop and deploy LLM-powered applications and retrieval-augmented generation (RAG) pipelines using frameworks like LangChain, including multi-step reasoning and tool integration.
Collaborate with engineering for API and containerized deployment, perform advanced data analysis, and mentor junior team members while ensuring measurable and explainable solutions aligned with business outcomes.
Bachelor’s or master’s degree in Computer Science, Engineering, Data Science, or related field.
5 to 8 years of experience in data science, AI/ML, or advanced analytics with proven end-to-end project ownership.
Strong proficiency in Python and SQL, with hands-on experience in LLMs (including prompt design and evaluation), RAG systems, LangChain or similar frameworks, and production deployment.
Based primarily in Hyderabad with flexibility for remote work; full-time role requiring 45 hours per week with expected overlap with US hours.
Experienced in delivering scalable AI/ML solutions in healthcare, specialty pharmacy, or operational analytics domains.
Proficient with integrating structured data and unstructured text/document inputs in production-grade AI systems, with familiarity in vector databases and embedding techniques.
Comfortable working in cross-functional teams to translate complex business problems into reliable automated AI solutions, and capable of mentoring and guiding junior analysts.