Key Responsibilities

AI & Machine Learning Development

- Design, develop, and deploy AI/ML models for business use cases.

- Build and optimize machine learning pipelines from data preparation to model deployment.

- Develop predictive, classification, recommendation, and NLP solutions.

- Fine-tune and evaluate foundation models and LLMs.

Generative AI Solutions

- Design and implement Generative AI applications using LLMs.

- Develop Retrieval-Augmented Generation (RAG) solutions.

- Create prompt engineering frameworks and reusable AI workflows.

- Integrate AI copilots, chatbots, and virtual assistants into enterprise platforms.

- Implement AI governance, monitoring, and responsible AI practices.

Data Engineering & Integration

- Collaborate with Data Engineers and Data Scientists to prepare training datasets.

- Develop APIs and microservices for AI model consumption.

- Integrate AI services with enterprise systems and cloud platforms.

Model Deployment & Monitoring

- Deploy AI solutions using MLOps best practices.

- Monitor model performance, accuracy, drift, and reliability.

- Ensure scalability, security, and compliance requirements are met.

📌 AI Engineer (Bengaluru)
🏢 Zensar
📍 Bengaluru