Lead Machine Learning Engineer

6 days ago

Bareilly, Uttar Pradesh, India beBeeDataScientist Full time ₹ 15,00,000 - ₹ 25,00,000
Job Title:

Senior Data Scientist

Job Description

We are seeking an exceptional Senior Data Scientist to play a key role in driving business success through data-driven decision making.

This position involves working at the intersection of software development, machine learning, and financial data to deliver tangible results. You will design and build robust software systems to support data pipelines, analytics, and AI applications. Collaboration with domain experts is essential to scope, build, and iterate on AI-driven tools tailored to business needs.

Main responsibilities include:

  • Designing and developing efficient data ingestion, transformation, and validation pipelines using Python, SQL, and modern libraries.
  • Collaborating with analysts, quants, and operations teams to build production-ready systems that drive decision-making across the firm.
  • Integrating large language models (LLMs) and generative AI APIs into internal tooling.
  • Creating clean, intuitive user interfaces and data visualizations with libraries like Plotly and Dash.
  • Optimizing database access and performance for large structured and semi-structured datasets.
  • Ensuring tools are scalable, secure, and aligned with end-user workflows and UX needs.
  • Taking 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 to diverse stakeholders.
  • User-focused mindset: you care about who's using your tools and how to make them intuitive, reliable, and useful.
  • Team-oriented: you work well with others, ask great questions, and contribute to a collaborative culture.

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