Advanced proficiency in Python and strong software engineering foundations, including object-oriented design, data structures, algorithms, testing, version control, and design patterns.

Generative AI: LLMs, RAG, prompt engineering, fine-tuning, agents, evaluation frameworks, guardrails, and responsible AI.

Strong hands-on experience with machine learning and deep learning frameworks such as PyTorch, TensorFlow, or scikit-learn.

Practical experience building applications with large language models and related frameworks, orchestration tools, embedding models, and vector search technologies.

Experience deploying AI workloads on at least one major cloud platform-preferably Microsoft Azure-or equivalent experience with AWS or Google Cloud.

Solid knowledge of containerization, Kubernetes, CI/CD,



REST APIs, microservices, distributed systems, and infrastructure-as-code practices.

Demonstrated experience with model deployment, monitoring, optimization, governance, and production support.

Strong analytical, problem-solving, communication, stakeholder-management, and technical leadership skills.

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📌 Artificial Intelligence Engineer (Mumbai)
🏢 Crisil
📍 Mumbai