Python / AI Engineer
Role Summary
The Python / AI Engineer will design, develop, and deploy scalable Python-based solutions
with a strong focus on Artificial Intelligence and data-driven applications. The role involves
building AI/ML models, integrating them into enterprise systems, and supporting end-to-
end delivery in a secure, production-grade environment.
Key Responsibilities
• Design, develop, and maintain Python-based applications and services for AI and data-
driven use cases
• Build, train, evaluate, and deploy machine learning and AI models for enterprise
applications
• Develop data pipelines and feature engineering workflows to support AI/ML models
• Integrate AI solutions with enterprise platforms, APIs, and downstream systems
• Ensure code quality, scalability, and performance using engineering best practices
• Collaborate with product owners, data scientists, and platform teams across delivery
lifecycle
• Support model deployment, monitoring, and tuning in production environments
• Adhere to enterprise security, compliance, and governance standards




Mandatory Skills & Experience (Must Have)
• Robust hands-on experience in Python for backend development and data processing
• Solid understanding of machine learning fundamentals and model evaluation
• Experience with AI/ML libraries: TensorFlow, PyTorch, Scikit-learn, NumPy, Pandas
• Experience building and consuming REST APIs / microservices
• Strong knowledge of data structures, algorithms, and OOP concepts
• Experience with SQL and/or NoSQL databases
• Exposure to cloud platforms (Azure preferred)
• Knowledge of SDLC, Git, and CI/CD concepts
Desired Skills & Experience (Good to Have)
• Experience with Generative AI, LLMs, or prompt engineering
• Exposure to MLOps practices (model versioning, deployment, monitoring)
• Experience with Azure AI/ML services or Azure OpenAI
• Knowledge of containerization (Docker) and orchestration platforms
• Experience working in Agile/Scrum environments
• Background in en

📌 Python / AI Engineer- UBS (Pune)
🏢 TCS_India
📍 Pune