Primary skill : Python (primary), ML frameworks, (PyTorch, TensorFlow, Hugging Face), LLMs and GenAI platforms

Good to have skills : REST APIs, microservices, Docker, Kubernetes

Role : AI Architect

- 7+ years in software architecture, with at least 4 years focused on AI/ML.

- Strong background in AI/ML architecture and system design

- Hands-on experience with LLMs and GenAI (OpenAI, Azure OpenAI, Anthropic, open-source models)

- Experience with RAG (Retrieval-Augmented Generation), LangChain, Vector Databases etc.

- Expertise in cloud platforms (Azure ) and AI services

- Knowledge of MLOps / LLMOps tools (MLflow, Kubeflow, GitHub, CI/CD)

- Deep expertise in PyTorch, TensorFlow, Scikit-learn, Hugging Face etc.

- Solid understanding of APIs, microservices, containers, and orchestration

- Experience with data platforms (lakehouse, streaming, feature stores)

- Experience integrating AI into SDLC, QE, and developer productivity tools (e.g., Copilot)

- Experience in banking, financial services, or regulated industries

- Strategic mindset with hands-on problem-solving ability