Job Description
- We are looking for an experienced Data Science and ML Engineer with 6 to 9 years of hands-on experience to join our growing AI/ML team based in Pune, working on cutting-edge Generative AI and machine learning solutions.
- The ideal candidate will have strong proficiency in Python and deep expertise in building, deploying, and maintaining scalable machine learning models and data science pipelines on cloud platforms such as AWS and GCP.
- You will work extensively with Vertex AI on Google Cloud Platform to develop, train, and deploy production-grade ML models, leveraging managed ML services and MLOps best practices for model lifecycle management.
- Hands-on experience with Generative AI frameworks including LangChain and Retrieval-Augmented Generation (RAG) architectures is essential, as you will be designing and implementing LLM-based applications and intelligent document retrieval systems.
- You will collaborate with cross-functional teams including data engineers, product managers, and software developers to translate complex business problems into robust data science and AI-driven solutions.
- Experience in designing RAG pipelines with vector databases, embedding models, and prompt engineering techniques to enhance the accuracy and relevance of generative AI outputs is a key requirement for this role.
- Strong understanding of MLOps practices including model monitoring, versioning, CI/CD pipelines for ML workflows, and cloud-based experiment tracking using tools such as Vertex AI Experiments or AWS SageMaker is expected.
- Candidates must demonstrate a solid foundation in statistical modeling, feature engineering, and data analysis combined with the ability to productionize Gen AI solutions at enterprise scale.