Data Science Engineer
Indegene
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Must Have
Role: Data Science Engineer
Description:
Responsibilities:
• Design and develop innovative Generative AI solutions leveraging OpenAI, Gemini, Grok, and open-source models such as LLaMA and Hugging Face Transformers.
• Build, fine-tune, and deploy custom LLMs using advanced frameworks like Transformers, LangChain, and PEFT for specialized AI-driven applications.
• Implement and optimize modular, retrieval-augmented generation (RAG) pipelines utilizing LangChain and LlamaIndex to enhance knowledge retrieval capabilities.
• Develop intelligent multi-agent systems for complex workflows using LangGraph and Autogen frameworks, improving operational efficiency.
• Apply advanced prompt engineering techniques to optimize LLM responses for various use cases, ensuring high-quality outputs.
• Create, train, and fine-tune custom NLP, ML, and DL models using frameworks like PyTorch, TensorFlow, and Scikit-learn.
• Deploy models and integrate them into production environments using cloud services like Azure Machine Learning and AWS AI/ML tools.
• Build and manage RESTful APIs to provide AI services for seamless integration with front-end and back-end systems.
• Work with both SQL and NoSQL databases (PostgreSQL, MySQL, MongoDB, Cosmos DB) for effective data management.
• Ensure smooth deployment workflows using Git, Azure DevOps, and CI/CD pipelines while collaborating with cross-functional teams.
Desired Profile:
• Strong proficiency in Python programming and familiarity with Bash/CLI scripting for automation.
• In-depth experience with machine learning and deep learning frameworks such as Scikit-learn, TensorFlow, PyTorch, and Hugging Face.
• Solid understanding of Generative AI tools like OpenAI APIs, Gemini, Grok, LangChain, and LlamaIndex.
• Proven expertise in prompt engineering for LLMs to generate accurate and relevant responses for diverse use cases.
• Hands-on experience with SQL (PostgreSQL, MySQL) and NoSQL (MongoDB, Cosmos DB) databases.
• Skilled in API development, particularly with Flask, for building and exposing AI-based services.
• Experience with version control systems like Git, GitHub/GitLab, and Azure DevOps for collaboration and code management.
• Proficient in deploying AI models on cloud platforms like Azure (AI Services, Azure ML) and AWS (SageMaker, Comprehend, Bedrock).
• Familiar with deployment and monitoring tools such as Azure ML endpoints, AWS Lambda/SageMaker, and Azure Machine Learning Studio.
• Strong communication and collaboration skills to work effectively with product managers, data engineers, and other stakeholders.
Good to have
EQUAL OPPORTUNITY
This job is no longer accepting applications
See open jobs at Indegene.See open jobs similar to "Data Science Engineer" Brighton Park Capital.