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Tier-1 employer, mid-level ML/GenAI role in Hyderabad metro with broad, in-demand LLM skillset.
Core ML/AI skills transfer across industries, though pharma context moderately increases domain specificity.
Mandates 4+ years plus specific ML/LLM frameworks and production deployment experience, so filters are strict.
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Develop and deploy Generative AI solutions leveraging large language models for enterprise applications including text generation, summarization, RAG, and intelligent assistants.
Implement multi-agent Agentic AI systems to automate complex workflows and decision-making pipelines.
Build and maintain AI/ML pipelines from data ingestion to model inference, ensuring scalable and production-ready Python code using frameworks like LangChain, LangGraph, and Pydantic AI.
Bachelor’s Degree in Computer Science, Mathematics or related field.
Minimum 4 years of progressively responsible experience in IT technical roles.
Experience with ML libraries/frameworks such as Scikit-learn, NumPy, Pandas, PyTorch, TensorFlow/Keras.
Experience with Generative AI and Agentic frameworks like LangChain, LangGraph, Pydantic AI, LlamaIndex, and LLM platforms like Azure OpenAI, AWS Bedrock, or Google Vertex AI.
Proficient in developing production-level AI and ML solutions with hands-on experience in advanced Generative AI and multi-agent frameworks.
Familiar with CI/CD workflows and Agile/Scrum development practices oriented towards collaborative software delivery.
Experience or interest in building scalable AI applications on platforms like Databricks and possibly contributing to AI-powered web applications using ReactJS.