Software Engineer(A231096)

Key Responsibilities

• Design, develop, and deploy ML/DL solutions for real-world business problems (from prototype to production).
• Build and fine-tune deep learning models for computer vision and sequence tasks (CNN, RNN, object detection pipelines).
• Implement Generative AI systems such as Retrieval-Augmented Generation (RAG), agents, and tool-based workflows.
• Develop production-grade backend services using FastAPI and integrate ML/GenAI inference into APIs.
• Containerize and deploy services using Docker, and support scalable deployments across environments.
• Build and maintain data pipelines, model inference workflows, and monitoring/logging for production systems.
• Work with MySQL/SQL for data extraction, storage, and analytics use-cases.
• Collaborate with DevOps/Engineering teams on GitHub workflows, CI/CD pipelines, code quality, and release processes.
• Support adjacent automation initiatives (e.g., RPA) and contribute across the organization’s tech stack as needed.

Required Skills & Experience

Must-Have (Technical)

• 2–5 years of professional experience in AI/ML engineering or data science with production exposure.
• Strong proficiency in Python (clean code, debugging, performance awareness, packaging, testing).
• Solid understanding of Deep Learning concepts: CNNs, RNNs, and object detection fundamentals/workflows.
• Hands-on experience with Generative AI: RAG pipelines, LangChain, Google ADK, OpenAI SDK, and agent/tool-calling orchestration.
• Strong working knowledge of Docker and containerized deployments.
• Experience using GitHub (branching, PRs, reviews) and working with CI/CD pipelines.
• Extensive experience building and deploying APIs using FastAPI.
• Good working knowledge of MySQL and SQL (joins, indexing basics, query performance awareness).