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Tier-1 employer and metro location increase applicant density though specialized ML/LLM expertise narrows the pool.
Specialized LLM and production ML engineering requirements make cross-industry transfers difficult without domain-specific experience.
Multiple mandatory ML/LLM production skills, tech stack, and leadership expectations create strict technical and domain filters.
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Lead design, development, and optimization of advanced machine learning and LLM-powered AI agents.
Architect scalable AI systems integrating multiple data sources, with responsibility for CI/CD pipeline, Docker, and NoSQL database management.
Mentor junior to mid-level engineers and collaborate cross-functionally to embed AI solutions into business processes.
Work Experience Required: Not explicitly mentioned in the JD.
Advanced degree (Master’s or Ph.D.) in Computer Science, Engineering, Data Science, Mathematics, or related field preferred.
Must have demonstrable experience building and deploying LLM-powered AI agents in production environments.
Primary location requirement: Pune, India.
Proven leadership experience mentoring junior engineers and managing AI/ML projects from inception to deployment.
Strong expertise in prompt engineering, LLM fine-tuning, and advanced AI agent development combining ML models with agentic frameworks.
Experience with cloud AI deployments, CI/CD, Docker, NoSQL, and familiarity with advanced ML frameworks like TensorFlow or PyTorch.