Machine Learning / Data Scientist

HCLTech; Hyderabad; On-site; INR 1,500,000 - 2,100,000; Full time

Job summary

HCLTech is seeking a Senior Data Scientist / ML Engineer with 5+ years of experience to design, build, and validate ML models. You'll work across data analysis, feature engineering, and model deployment pipelines, leveraging Python, scikit-learn, TensorFlow, and cloud services.

The role emphasizes hands-on development, data visualization, and collaboration with cross-functional teams to deliver scalable ML solutions.

Qualifications

• 5+ years of experience in data science or ML.
• Strong Python programming and SQL skills.
• Hands-on ML with Scikit-learn, TF, Keras, PyTorch.
• Proficient data manipulation with Pandas/NumPy.
• Experience deploying models on cloud platforms (AWS/Azure/Google Cloud).
• Strong data visualization skills (Tableau/Power BI) and SQL/NoSQL databases.
• Version control with Git.

Skills

Python

SQL

Scikit-learn

TensorFlow

Keras

PyTorch

Pandas

NumPy

Matplotlib

Statistical Analysis

AWS

Azure

Google Cloud

Tableau

Power BI

Seaborn

Plotly

MongoDB

BigQuery

Git

Tools

Git

Tableau

Power BI

MongoDB

BigQuery

Job description

We are looking for Sr. Data Scientist / Machine Learning Engineers for HCL Tech

Experience: 5+years

Required Skills:

• Programming Languages: Strong proficiency in Python, with experience in SQL.
• Machine Learning: Hands-on experience with Scikit-learn, TensorFlow, Keras, PyTorch, or similar ML libraries.
• Data Analysis: Strong skills in Pandas, NumPy, and Matplotlib for data manipulation and analysis.
• Statistical Analysis: Experience applying statistical methods to data, including hypothesis testing and regression analysis.
• Cloud Platforms: Familiarity with AWS, Azure, or Google Cloud for deploying models and using cloud-native data services (e.g., AWS Sagemaker, Azure ML).
• Data Visualization: Experience using Tableau, Power BI, Matplotlib, Seaborn, or Plotly for creating visualizations.
• SQL & Databases: Proficiency in SQL for querying relational databases and working with NoSQL databases (e.g., MongoDB, BigQuery).
• Version Control: Experience using Git for version control.