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 team-oriented development workflows

- Strong communication skills and ability to collaborate with cross‑functional teams

📌 AI Developer (Bengaluru)
🏢 Comviva
📍 Bengaluru