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Tier-1 brand, remote flexibility, and metro location raise competition, though GenAI specialization narrows the pool.
Core GenAI and ML skills transfer across industries, but healthcare/pharmacy experience increases fit sensitivity.
Explicit 5–8 years and mandatory LLM/RAG/LangChain/Python/production skills create high shortlisting strictness.
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Lead design and deployment of AI/ML and GenAI solutions specifically supporting specialty pharmacy operations.
Own end-to-end development including data exploration, building LLM-powered applications, RAG pipelines, and productionization as APIs or containerized services.
Translate business problems into scalable, explainable, and measurable systems aligned with business outcomes.
Bachelor's or master's degree in computer science, Engineering, Data Science, or related field.
5 - 8 years of experience in data science, AI/ML, or advanced analytics with proven end-to-end solution delivery ownership.
Strong proficiency in Python and SQL; hands-on experience with LLMs, RAG systems, LangChain or similar frameworks, and deployment via APIs/microservices.
Position primarily based in Hyderabad, India with required overlap with US working hours (45 hours/week).
Experienced in building and deploying LLM-based or hybrid AI systems in production environments, preferably in healthcare, pharmacy, or operational analytics.
Strong technical owner mindset with ability to handle complex AI workflows involving multi-step reasoning and tool integration.
Comfortable working in a hybrid setting requiring collaboration across time zones, and mentoring junior team members on AI/ML best practices.