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Tier-1 employer, popular mid-level ML role in metro Hyderabad with broad GenAI skill requirements.
Core ML/GenAI skills transfer broadly, though pharmaceutical domain knowledge is preferred.
Explicit 1–3 year requirement plus mandatory ML/LLM project experience and specific tech stack.
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Develop and deploy AI-powered platforms impacting commercial, contracting, and patient access strategies within the US Value & Access organization.
Build and maintain production-grade AI systems integrating structured and unstructured data to enable decision-making and measurable business impact.
Collaborate with senior data scientists, engineers, and business partners to bring GenAI, LLM, and ML innovations from prototype to production.
Bachelor's or master's degree in Computer Science, AI, Data Science, Statistics, Engineering, or related STEM field.
1–3 years of hands-on experience in AI/ML, data science, or software engineering roles.
Strong programming skills in Python, PySpark, and SQL, with experience in Machine Learning techniques and NLP fundamentals.
Hands-on experience with at least 2–3 real AI/ML projects involving LLM-based chatbots, RAG pipelines, or deployed ML models.
Experienced in building scalable AI/ML systems including LLM-powered assistants, intelligent document AI, and real-time AI decision engines.
Comfortable operating in cross-functional, collaborative environments translating business needs into AI-driven technical solutions.
Familiar with AI/ML infrastructure including MLOps tools, vector databases, cloud platforms, and data analytics using technologies such as Databricks.