AI Developer

Key Accountabilities

• Design, develop, and deploy machine learning and AI models using Python and frameworks such as TensorFlow or PyTorch
• Build AI-driven features and integrate models into applications using APIs and microservices
• Implement end-to-end ML pipelines including data preprocessing, training, validation, and evaluation
• Develop APIs for seamless integration of AI services with enterprise applications
• Implement Model Context Protocol (MCP) for efficient model communication and orchestration
• Perform large-scale data processing, feature engineering, and model training
• Deploy models into production environments following MLOps best practices
• Monitor model performance, manage versioning, and support retraining and lifecycle operations
• Optimize model inference, data pipelines, and AI workflows for latency, scalability, and efficiency
• Maintain detailed documentation for models, APIs, data flows, and AI system architecture

Mandatory Skills

• Strong proficiency in Python programming and ML frameworks such as TensorFlow or PyTorch
• Experience in building, evaluating, and deploying ML/AI models into production
• Strong understanding of data preprocessing, feature engineering, and model performance evaluation
• Experience developing APIs for integrating AI models with backend or enterprise systems
• Understanding of Model Context Protocol (MCP) and AI system orchestration

Desirable Skills

• Experience with MLOps tools and practices for deployment and monitoring
• Familiarity with cloud platforms such as AWS, Azure, or GCP
• Experience working with Git and collaborative development workflows
• Strong communication skills and ability to collaborate with cross-functional teams