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)

• Strong 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 enterprise -scale, secure
production systems