Machine learning Engineer

Benefits

Join Tata Consultancy Services in Pennington, NJ and access a comprehensive benefits package that supports your health, finances, and ongoing professional growth.

• Discretionary Annual Incentive
• Medical Coverage (Medical & Health, Dental & Vision)
• Disability Insurance
• Pet Insurance
• Maternal & Parental Leaves
• Auto & Home Insurance
• Identity Theft Protection
• Commuter Benefits
• Certification & Training Reimbursement
• Vacation, Time Off, Sick Leave & Holidays
• 401K Plan
• Performance Bonus
• College Fund
• Student Loan Refinancing

Overview

This onsite Machine Learning Engineer role at Tata Consultancy Services is based in Pennington, NJ. It emphasizes hands-on data science, model development, and building scalable ML data pipelines to deliver production-ready solutions. The position requires a Bachelor of Computer Science and offers a salary range of USD 105,000 - 125,000 per year.

Responsibilities

• Hands-on ML engineering with deep experience in data science, model development, and scalable data/ML pipelines.
• Delivery of production-ready ML solutions with strong execution and technical craftsmanship.

Requirements

• CI/CD for ML using MLflow, Kubeflow, SageMaker, or Azure ML
• Model versioning, monitoring, and retraining workflows
• Docker and Kubernetes for deployment
• Strong Python proficiency (NumPy, pandas, scikit-learn, PyTorch/TensorFlow)
• Experience with AWS, Azure, or GCP ML services
• Supervised models such as Logistic Regression, Random Forest, XGBoost/LightGBM, SVMs
• Deep learning: Neural Networks, CNN, RNN, Transformers (PyTorch or TensorFlow); classification models and evaluation methods (AUC, ROC, precision/recall, cross-validation)
• Data cleaning, handling missing values and outliers; feature scaling, encoding, time-series feature generation; strong exploratory data analysis and statistical analysis skills
• Building and maintaining ML/data pipelines with Spark, Databricks, Airflow; data ingestion, transformation, validation (Great Expectations preferred)

Technologies

• MLflow
• Kubeflow
• SageMaker
• Azure ML
• Docker
• Kubernetes
• Python ecosystem: NumPy, pandas, scikit-learn, PyTorch, TensorFlow
• AWS, Azure, GCP ML services
• Spark, Databricks, Airflow
• Great Expectations
• XGBoost, LightGBM
• Logistic Regression, Random Forest, SVMs
• Neural Networks, CNN, RNN, Transformers

Job Details

• Location: Pennington, NJ
• Salary: USD 105,000 - 125,000 per year
• Education: Bachelor of Computer Science
• Job ID: 409540
• Job Function: Technology
• Role: Engineer