Senior Data Scientist

Key Responsibilities:

• Architect, build, and deploy scalable GenAI applications using OpenAI, and Retrieval-Augmented Generation (RAG) techniques.
• Design and orchestrate modular, reproducible, and robust data pipelines leveraging Kedro for end-to-end machine learning workflows.
• Integrate LangChain to develop advanced natural language workflows and enhance AI-powered applications.
• Take GenAI prototypes from concept to production, ensuring reliability, scalability, and maintainability in real-world environments.
• Containerize machine learning and GenAI solutions with Docker for seamless deployment and scalability across cloud and on-premises platforms.
• Collaborate with cross-functional teamsincluding Engineering, Product, and Operationsto align AI solutions with business goals and deliver measurable impact.
• Mentor and support junior team members, sharing best practices in data science, MLOps, and GenAI deployment.
• Continuously evaluate and implement emerging AI technologies, driving innovation and excellence in our AI capabilities.

Key Qualifications:

• 4+ years of experience in GenAI, data science, machine learning, or AI-focused roles. 2+ years of experience in GenAI.
• Advanced proficiency in Python; extensive experience with OpenAI APIs, and other modern LLMs.
• Strong background in Retrieval-Augmented Generation (RAG) methods and architectures.
• Proven expertise with LangChain for natural language processing and workflow automation.
• Demonstrated experience taking GenAI prototypes to production environments.
• Experience building and orchestrating data pipelines with Kedro.
• Proficient in Docker-based containerization and deployment (Kubernetes a plus).
• Knowledge of data engineering and software engineering best practices.
• Excellent communication, collaboration, and mentoring skills.
• Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related field.
• Experience with working on SQL DB like Postgres and No-SQL DB like MongoDB

Preferred Qualifications:

• Experience with AWS or other major cloud platforms.
• Experience with CI/CD tools and automated testing frameworks.
• Open-source contributions, technical presentations, or publications in AI/ML.
• Previous leadership or mentorship of technical teams.
• Building Backend Python APIs.