Title:  Data Science Engineer

Job Description

We are a technology-led healthcare solutions provider. We are driven by our purpose to enable healthcare organizations to be future-ready. We offer accelerated, global growth opportunities for talent that’s bold, industrious, and nimble. With Indegene, you gain a unique career experience that celebrates entrepreneurship and is guided by passion, innovation, collaboration, and empathy. To explore exciting opportunities at the convergence of healthcare and technology, check out www.careers.indegene.com Looking to jump-start your career? We understand how important the first few years of your career are, which create the foundation of your entire professional journey. At Indegene, we promise you a differentiated career experience. You will not only work at the exciting intersection of healthcare and technology but also will be mentored by some of the most brilliant minds in the industry. We are offering a global fast-track career where you can grow along with Indegene’s high-speed growth. We are purpose-driven.  We enable healthcare organizations to be future ready and our customer obsession is our driving force. We ensure that our customers achieve what they truly want. We are bold in our actions, nimble in our decision-making, and industrious in the way we work.

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

Indegene is proud to be an Equal Employment Employer and is committed to the culture of Inclusion and Diversity. We do not discriminate on the basis of race, religion, sex, colour, age, national origin, pregnancy, sexual orientation, physical ability, or any other characteristics. All employment decisions, from hiring to separation, will be based on business requirements, the candidate’s merit and qualification. We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, national origin, gender identity, sexual orientation, disability status, protected veteran status, or any other characteristics.