Senior Artificial Intelligence Engineer/AI Lead

Job Description :

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. • Strong 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