Machine Learning Engineer / Data Scientist / Data Analyst

HCLTech; Hyderabad, Bengaluru; On-site; INR 1,800,000 - 2,800,000; Full time

Job summary

HCLTech is seeking a skilled Machine Learning Engineer / Data Scientist in India to drive data-driven insights. The role involves building and deploying ML models, transforming data pipelines, and delivering dashboards using Power BI or Tableau across Bangalore and Hyderabad campuses.

The candidate should have 7+ years of experience, strong Python/SQL skills, and hands-on experience with cloud platforms (AWS/Azure/GCP). Face-to-face interviews will be conducted in Bengaluru and Hyderabad.

Qualifications

• Strong Python, SQL, Pandas, and NumPy skills.
• Experience with Machine Learning and Deep Learning frameworks.
• Knowledge of Statistics, Data Analysis, and Predictive Modeling.
• Hands-on experience with Power BI/Tableau and AWS/Azure/GCP.
• Familiarity with Git and databases (MySQL, PostgreSQL, MongoDB).

Responsibilities

• Analyze, clean, and transform data using Python, SQL, Pandas, and NumPy.
• Build, train, and optimize ML models using Scikit-learn, TensorFlow, or PyTorch.
• Perform statistical analysis, feature engineering, and model evaluation.
• Create dashboards and reports using Power BI, Tableau, or Plotly.
• Deploy ML models and automate data pipelines in cloud environments.
• Collaborate with business and technical teams to deliver data-driven insights.

Skills

Python

SQL

Pandas

NumPy

Machine Learning

Deep Learning

Statistics

Data Analysis

Predictive Modeling

Tools

Power BI

Tableau

Plotly

AWS

Azure

GCP

Git

MySQL

PostgreSQL

MongoDB

Job description

Machine Learning Engineer / Data Scientist

Experience: 7+ Years

Location: Bangalore & Hyderabad (F2F drive on Sep 19th 2026)

Key Responsibilities:

• Analyze, clean, and transform data using Python, SQL, Pandas, and NumPy.
• Build, train, and optimize ML models using Scikit-learn, TensorFlow, or PyTorch.
• Perform statistical analysis, feature engineering, and model evaluation.
• Create dashboards and reports using Power BI, Tableau, or Plotly.
• Deploy ML models and automate data pipelines in cloud environments.
• Collaborate with business and technical teams to deliver data-driven insights.

Required Skills:

• Strong Python, SQL, Pandas, and NumPy skills.
• Experience with Machine Learning and Deep Learning frameworks.
• Knowledge of Statistics, Data Analysis, and Predictive Modeling.
• Hands-on experience with Power BI/Tableau and AWS/Azure/GCP.
• Familiarity with Git and databases (MySQL, PostgreSQL, MongoDB).

Good to Have:

Spark, Airflow, NLP, Computer Vision, MLflow, Kubeflow, BigQuery.