Key Responsibilities

- Design, build, and deploy Machine Learning and Generative AI solutions.
- Develop and optimize RAG (Retrieval-Augmented Generation) architectures for enterprise knowledge retrieval.
- Fine-tune, evaluate, and optimize Large Language Models (LLMs).
- Build AI chatbots, virtual assistants, document Q&A; systems, and intelligent search applications.
- Integrate vector databases for semantic search and retrieval.
- Develop REST APIs and microservices for AI applications.
- Deploy and manage AI workloads on AWS using cloud-native services.
- Build scalable ML pipelines using MLOps best practices.
- Implement prompt engineering and prompt optimization techniques.
- Monitor model performance, latency, and cost optimization.
- Collaborate with data engineers, software developers, and business stakeholders.
- Ensure AI security, governance, and responsible AI practices.

Preferred qualification:





- 7+ years of professional experience in Machine Learning, Artificial Intelligence, Data Science, or Software Engineering, with a strong focus on AI/ML solutions.
- 3+ years of hands-on experience developing and deploying Generative AI, Large Language Model (LLM), and Retrieval-Augmented Generation (RAG) applications in production environments.
- Proven experience designing, developing, and deploying scalable AI/ML solutions on AWS using services such as Amazon Bedrock, SageMaker, Lambda, S3, API Gateway, ECS/EKS, and related cloud technologies.
- Robust proficiency in Python and AI/ML frameworks such as PyTorch, TensorFlow, Hugging Face Transformers, LangChain, and LlamaIndex.

📌 Ai Ml Engineer (Hyderabad)
🏢 CGI
📍 Hyderabad