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 productive 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

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 AI Developer (Bengaluru)
🏢 Comviva Technology
📍 Bengaluru