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We are seeking an experienced Python Technical Lead with strong AI and machine learning expertise to drive the development of high-quality, scalable software solutions. This role blends advanced Python engineering skills with hands-on AI capabilities. You will architect, build, and optimize backend services, automation pipelines, AI-driven applications, and data workflows while guiding a growing engineering team.

Responsibilities:

- Lead the design and development of robust, scalable Python applications, APIs, microservices, and automation workflows.
- Architect clean, maintainable, and modular codebases using Python best practices.
- Build data processing, ETL, and feature engineering pipelines supporting AI/ML workloads.
- Optimize systems for performance, reliability, and scalability.
- Work with DevOps pipelines to automate testing, deployment, and monitoring of Python and AI services.
- Ensure robust CI/CD workflows and production readiness.

AI / Machine Learning Integration:

- Work with Azure AI services (Cognitive Services, Computer Vision, NLP, Speech, ML Studio) to build intelligent applications.
- Implement ML models using Python frameworks such as TensorFlow, PyTorch, Scikit-learn, FastAPI, and MLFlow.
- Integrate AI components into production-grade Python applications.
- Evaluate new AI tools/libraries beyond Azure when appropriate.

Technical Leadership

- Provide hands-on technical leadership throughout the SDLCarchitecture, design, development, testing, deployment, and maintenance.




- Review and guide the work of junior developers, promoting coding standards and engineering best practices.
- Work closely with cross-functional teams to translate business requirements into actionable technical solutions.
- Stay updated on advancements in Python, AI frameworks, cloud practices, and MLOps techniques.
- Identify opportunities to incorporate modern AI techniques or optimize current architecture.

Strong expertise in:

- Python (Flask, Django, FastAPI, asyncio) • Data processing frameworks (Pandas, NumPy, PySpark) • Cloud platforms (Azure preferred) • Practical experience integrating AI/ML into applications (NLP, CV, ML models).
- Hands-on experience with TensorFlow, PyTorch, Scikit-learn, etc.
- Robust understanding of Agile, DevOps, and CI/CD processes.
- Excellent communication, leadership, and problem-solving skills.

Preferred

- Experience with Microsoft Azure Technology.
- Experience deploying AI models in production environments.
- Exposure to vector databases, LLM applications, or GenAI frameworks.
- Knowledge of MLOps tools such as MLFlow, Kubeflow, or Azure ML pipelines.
- Exposure to agentic architectures, including tool-using agents, planning agents, or multi-agent workflows.
- Familiarity with MCP (Model Context Protocol) building MCP servers, exposing tools, or integrating agents with MCP.
- Experience developing RAG (Retrieval-Augmented Generation) pipelines and

📌 Senior Artificial Intelligence Engineer/AI Lead (Hyderabad)
🏢 SNP Cloud Technologies
📍 Hyderabad