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Mid-level GenAI role in Bangalore at a well-known global firm with broad skill requirements, high applicant competition.
GenAI engineering skills are broadly transferable, but terminal logistics domain experience adds moderate sensitivity.
Explicit 5+ years, advanced GenAI requirements, production deployment and academic qualification increase shortlist rigidity.
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Design, develop, deploy, and maintain production-grade Generative AI systems that optimize container terminal operations and workflows globally.
Build and scale LLM-powered applications including retrieval-based reasoning, AI copilots, and task-oriented AI agents to enhance decision-making and operational intelligence.
Establish evaluation frameworks and operational practices focusing on system reliability, latency, hallucination mitigation, and cost-efficiency for GenAI solutions.
5+ years experience in building and deploying production-grade AI/ML systems with strong Generative AI expertise.
PhD or M.Sc. degree in Machine Learning, Computer Science, Applied Mathematics, Statistics, Engineering, or related quantitative discipline, or equivalent experience.
Proficiency in Python programming with solid software engineering skills including OOP, design patterns, unit testing, version control, and scalable system design.
Experience with cloud environments, CI/CD pipelines, containerization (Docker), and production deployment and monitoring of AI solutions.
Experienced AI engineer with deep technical skills in Large Language Models, Retrieval-Augmented Generation, semantic search, prompt engineering, and AI agent frameworks.
Demonstrated capability to translate complex operational challenges into structured AI problem statements and deliver enterprise-grade, maintainable AI systems under architectural standards.
Comfortable working in agile, fast-paced environments focused on AI system lifecycle management, evaluation science, and continuous improvement of GenAI-enabled operations.