Data Scientist

Our Client is a global IT services company headquartered in Southborough, Massachusetts, USA. Founded in 1996, with a revenue of $1.8B, with 35,000+ associates worldwide, specializes in digital engineering, and IT services company helping clients modernize their technology infrastructure, adopt cloud and AI solutions, and accelerate innovation. It partners with major firms in banking, healthcare, telecom, and media.

Our Client is known for combining deep industry expertise with agile development practices, enabling scalable and cost-effective digital transformation. The company operates in over 50 locations across more than 25 countries, has delivery centers in Asia, Europe, and North America and is backed by Baring Private Equity Asia.

Job Title: Data Scientist

Key Skills: GenAI Engineer, LLM Integration, RAG Pipeline, Vector Database, Multi-Modal Data Pipeline, LangChain, Python PySpark, Cloud Data Platform, Big Data Engineer

Job Locations: Bangalore

Experience: 7 - 9 Years

Budget: 13 – 16 LPA

Education Qualification: Any Graduation

Job Description:

Hands-on experience in multi-modal pipeline development (text, image, unstructured data). Strong background with vector databases and RAG implementations. Expertise in SQL and proficiency in Python, Java, or Scala. Experience in cloud data platforms and big data frameworks. Familiarity with streaming pipelines, containerization (Docker), and orchestration tools (Airflow, Dagster). Detailed Job Description Hands-on experience in multi-modal pipeline development (text, image, unstructured data). Strong background with vector databases and RAG implementations. Expertise in SQL and proficiency in Python, Java, or Scala. Experience in cloud data platforms and big data frameworks. Familiarity with streaming pipelines, containerization (Docker), and orchestration tools (Airflow, Dagster). Mandatory : • Prior experience guiding teams in GenAI/LLM integrations. Exposure to multi-modal embedding techniques. • Ability to collaborate across data engineering and applied AI/ML teams. • Programming & Frameworks: Python, PySpark, OOPs, LangChain, LangGraph Testing: - Pytest (Testing Framework) Optional - DevOps & Tools: -Ansible, GIT, JIRA, Bugzilla, Jenkins

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