Data Scientist II

May 13, 2026

Job Description

This role focuses on building advanced AI/ML and data science solutions for large-scale business and logistics problems. The engineer works with massive datasets, develops predictive models, deploys machine learning systems, and collaborates with cross-functional teams to create production-ready AI platforms and analytics solutions.

The position combines:

  • Data Science
  • Machine Learning Engineering
  • Data Engineering
  • Cloud & DevOps
  • Research & Innovation

Location: Chennai


Responsibilities

Data Science & Machine Learning

  • Build predictive, prescriptive, and statistical models
  • Develop AI/ML solutions using:
    • Scikit-learn
    • XGBoost
    • TensorFlow
    • PyTorch
    • Spark MLlib
  • Solve large-scale business and logistics problems using advanced analytics
  • Research and experiment with modern AI techniques

Data Engineering

  • Work with large structured and unstructured datasets
  • Design reusable data science assets and pipelines
  • Scale ML solutions from prototype to production
  • Build cluster-scale solutions using distributed systems

Deployment & Production

  • Deploy production-grade ML systems
  • Use cloud platforms like:
    • AWS
    • Azure
    • Databricks
  • Implement CI/CD and DevOps practices
  • Maintain reusable codebases and templates

Collaboration

  • Work with:
    • Business teams
    • Software engineers
    • Data engineers
    • Product stakeholders
  • Translate technical insights into business value
  • Support cross-functional delivery teams

Innovation & Research

  • Stay updated with latest AI/ML trends
  • Contribute to R&D initiatives
  • Create scalable and reusable AI frameworks

Required Skills

Programming

  • Python
  • SQL
  • Distributed computing concepts

Machine Learning & AI

  • Scikit-learn
  • TensorFlow
  • PyTorch
  • XGBoost
  • MLlib
  • Predictive modeling
  • Statistical analysis

Cloud & Platforms

  • AWS
  • Azure
  • Databricks
  • MLFlow

Data Engineering

  • Spark
  • Big data processing
  • ETL/data pipelines

Mathematics & Statistics

  • Linear Algebra
  • Vector Calculus
  • Optimization techniques

DevOps & Engineering

  • CI/CD
  • Agile
  • Version control
  • Production deployment

Preferred Candidate Profile

Ideal for someone who:

  • Has strong AI/ML project experience
  • Enjoys solving complex real-world problems
  • Can work on both research and production systems
  • Has strong mathematical foundations
  • Can collaborate across technical and business teams

Experience Level

  • Mid-to-Senior Data Scientist
  • Suitable for candidates with strong practical ML deployment experience and cloud/data engineering exposure

Main Technologies Mentioned

  • Python
  • Spark
  • Databricks
  • TensorFlow
  • PyTorch
  • XGBoost
  • AWS
  • Azure
  • MLFlow
  • CPLEX
  • Gurobi