The successful candidate will work on designing and deploying AI solutions using OpenAI, Claude, RAG architectures, LangChain, Kedro, and Docker. You will collaborate with cross-functional teams and play a key role in developing production-ready solutions that deliver tangible business outcomes.
🔑 Key Responsibilities
As a Senior Data Scientist, your role will include:AI Application Development:
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Architect and deploy scalable GenAI applications using LLMs like OpenAI and Claude.
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Apply Retrieval-Augmented Generation (RAG) to enhance natural language models.
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Data Pipeline Engineering:
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Design and orchestrate robust data pipelines using Kedro.
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Ensure reproducibility, scalability, and automation of ML workflows.
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Integration & Deployment:
Utilize LangChain to develop sophisticated NLP workflows.
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Containerize solutions with Docker for seamless deployment across cloud and on-premises platforms.
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Prototype to Production:
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Convert GenAI prototypes into reliable production-ready applications.
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Focus on scalability, maintainability, and performance optimization.
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Collaboration & Mentorship:
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Partner with Engineering, Product, and Operations to align solutions with business needs.
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Mentor junior data scientists and promote best practices in AI and MLOps.
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Continuous Innovation:
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Research and evaluate emerging AI technologies.
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Adopt innovative methods to enhance the company's AI capabilities.
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🎓 Required Qualifications
You will need to bring the following:
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4+ years of experience in AI, Data Science, or ML roles.
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At least 2+ years of hands-on experience in Generative AI projects.
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Advanced proficiency in Python and OpenAI APIs.
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Strong understanding of RAG methods and LangChain.
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Experience with Kedro for pipeline orchestration.
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Expertise in Docker-based deployment (Kubernetes experience is a plus).
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Knowledge of SQL (Postgres) and NoSQL (MongoDB) databases.
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Excellent problem-solving, communication, and mentoring skills.
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Bachelor’s or Master’s degree in Computer Science, Data Science, or related fields.
⭐ Preferred Qualifications
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Experience working with AWS or other major cloud platforms.
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Familiarity with CI/CD pipelines and automated testing.
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Experience in building backend Python APIs.
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Prior leadership or mentorship roles in technical teams.
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Contributions to open-source projects, research publications, or conference talks.
🌍 Work Environment
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Location: Bangalore (Hybrid)
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Work Type: Full-time role with flexibility for remote and in-office collaboration.
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Experience Level: 4–7 years overall, with a focus on Generative AI for at least 2 years.

