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Tier-1 brand, mid-level AI role in Hyderabad attracts many applicants but requires specialized LLM expertise.
Core ML/LLM engineering skills are transferable, though pharma domain familiarity increases fit sensitivity.
Explicit 6+ years requirement and mandatory ML/LLM, deep learning and MLOps skills enforce strict shortlisting.
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Develop and deploy AI-powered and machine learning solutions to accelerate medicine delivery and drive business impact in Global Market Access and HEOR IT functions.
Lead the design and operationalization of scalable ML pipelines and AI solutions, including generative AI and foundation model applications, collaborating with business and IT teams.
Serve as a subject matter expert in AI including foundation models; communicate technical insights to both technical and non-technical stakeholders, and stay current with emerging AI and data science trends.
6+ years of experience in data analytics, machine learning, or related fields.
Proficient programming skills in Python and experience with AI/ML frameworks such as PyTorch or TensorFlow.
Hands-on experience with generative AI, prompt engineering, fine-tuning deep learning models, and working with unstructured/semi-structured data.
Familiarity with cloud platforms (AWS/GCP/Azure) and MLOps principles including model lifecycle management.
Experienced in implementing complex AI and ML solutions, including leadership or initiative roles in deploying LLM-based or foundation model technologies.
Able to translate complex data insights into actionable business impacts and communicate effectively across technical and non-technical teams.
Proficient with advanced AI tooling such as LangChain, LlamaIndex, Hugging Face models, and building retrieval-augmented generation (RAG) pipelines or AI chat applications.