Transformative Data Scientist Role

6 days ago

Kollam, Kerala, India beBeeDataEngineer Full time ₹ 20,00,000 - ₹ 25,00,000

Unlock the full potential of data by joining our innovative team as a Data Engineer and Azure AI Specialist.

This is an exciting opportunity to work at the intersection of software development, machine learning, and financial data—delivering real-world impact from day one.

You'll design, build, and deploy robust, maintainable systems that transform raw data into actionable insights. You'll collaborate closely with analysts, quants, and operations teams to develop production-ready solutions that drive decision-making across the organization.

Key Responsibilities:

  • Design and implement efficient data pipelines, analytics, and AI applications using Python, SQL, and modern libraries.
  • Collaborate with domain experts to scope, build, and iterate on AI-driven tools tailored to business needs.
  • Develop scalable, secure data ingestion, transformation, and validation pipelines.
  • Integrate large language models (LLMs) and generative AI APIs into internal tooling.
  • Create intuitive user interfaces and data visualizations with Plotly and Dash.
  • Optimize database access and performance for large structured and semi-structured datasets.
  • Ensure tools are aligned with end-user workflows and UX needs.
  • Take projects from concept to production, including testing, documentation, deployment, and iteration.

Requirements

  • Strong programming skills in Python, with exposure to software engineering best practices.
  • Proficiency with SQL and relational databases.
  • Experience working with data pipelines, ETL workflows, and data wrangling techniques.
  • Familiarity with ML frameworks such as PyTorch, and data libraries like Pandas and Numpy.
  • Exposure to generative AI or LLM APIs and frameworks.
  • Understanding of fundamental machine learning and data science concepts.
  • Strong written and verbal communication skills, especially in explaining complex technical topics.
  • User-focused mindset: you care about who's using your tools and how to make them intuitive and useful.
  • Team-oriented: you work well with others, ask great questions, and contribute to a collaborative culture.

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