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

- Robust 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