Data Science Engineer

0 - 4 years

4 - 8 Lacs

Posted:-1 days ago| Platform: Naukri logo

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Job Type

Full Time

Job Description

As a member of Data tech, you would join a motivated team of professionals actively engaged in challenging one another to produce products of the highest quality in a business whose explicit goal is to be best in class . This team stays up to date on the fast-moving technologies and solutions available on LLM, GenAI, NLP, ML also plan and Impalement most advance Data Science solutions across MSCI s applications.
Your Key Responsibilities
  • Develop data science applications and be a part of our AI adoption journey.
  • Support teams across data and technology at MSCI to implement AI solutions and integrate their services with MSCIs data science products and platforms.
  • Implement ML, NLP, LLM, LangChain, LangGraph, and Agentic AI within data science tools to deliver new functionality for the internal production platform and the client delivery platform.
  • Engage with content expert teams across technology and understand MSCI APIs and data delivery platforms.
  • Closely collaborate with Product Management, Quality Assurance, Data Operations, and IT Infrastructure on all stages of the development lifecycle.
Your skills and experience that will help you excel
  • At least a Bachelors or Masters degree in Computer Science, Mathematics, Engineering, or a related field.
  • Experience in finding patterns in data and creating statistical models, data exploration, data visualization, and data mining.
  • Experience in developing AI and ML solutions and delivering them to production.
  • Very good hands-on working experience in Python and NLP.
  • Prior experience or projects in LLMs, LangChain, LangGraph, and Agentic AI is a plus.
  • Familiarity with text processing.
  • Understanding of good software development practices: Test-Driven Development (TDD), refactoring, pair-programming, solid design.
  • Self-motivated, proactive, and demonstrating an exceptional drive towards delivery.
  • Experience with cloud-based solutions, especially on Azure or Google Cloud Platform (GCP).
  • Knowledge of DevOps practices and tools for continuous integration and deployment

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