Job Requirements*
4+ years of experience in AI/ML engineering
Expertise in Python and frameworks like LangChain, LangGraph
Robust development experience of GenAI application like RAG, Image generation
Experience with LLMs and prompt engineering.
Proficiency in deploying AI solutions on cloud platforms
Experience with Model Context Protocol and Agentic AI Implementation, MLOps tools (MLflow, Kubeflow, Docker, Kubernetes)
Key Responsibilities*
Lead the end-to-end lifecycle of AI projects—from data acquisition to deployment and monitoring.
Design, build, and optimize complex ML/DL models, including large-scale and generative AI solutions.
Architect scalable and maintainable AI pipelines using MLOps tools and practices.
Collaborate with product managers, data scientists, and engineers to align AI solutions with business needs.
Conduct code reviews, ensure best practices, and mentor junior engineers.
Stay updated on emerging AI trends, tools, and research to drive innovation.