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 effective 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

📌 AI Developer (Bengaluru)
🏢 Comviva
📍 Bengaluru