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.
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
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
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
Required Skills:
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
IT Services and IT Consulting