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Well-known global employer, mid-level GenAI role in Bangalore with broad ML requirements increases competition.
Role requires specialized Generative AI and LLM expertise, limiting cross-industry transfers without ML experience.
Explicit 5+ years and deep GenAI, LLM, and production ML requirements create strict candidate filtering.
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Design, implement, and deploy production-grade Generative AI systems to optimize container terminal operations, including LLM-powered AI agents and retrieval-based reasoning solutions.
Build and maintain end-to-end Generative AI solution lifecycles covering data pipelines, model evaluation, deployment, and continuous performance monitoring.
Collaborate with stakeholders to translate operational challenges into AI problems, delivering scalable AI products that enhance decision-making and operational efficiency.
5+ years of industry experience building and deploying production-grade AI/ML systems with strong hands-on experience in Generative AI.
PhD or M.Sc. in Machine Learning, Computer Science, Applied Mathematics, Statistics, Engineering, or related quantitative discipline (or equivalent practical experience).
Proven programming skills in Python with experience in software engineering practices including OOP, design patterns, unit testing, version control.
Experience with cloud environments, CI/CD pipelines, containerization (Docker), and monitoring for production AI systems.
Experienced AI/ML engineer specializing in large language models, Retrieval-Augmented Generation (RAG), semantic search, and agentic AI frameworks.
Capable of architecting and scaling enterprise-grade AI products with strong focus on reliability, evaluation science, and operational deployment.
Comfortable working in fast-paced, agile environments and translating complex logistics or terminal operational challenges into effective AI solutions.