Machine learning Engineer

Tata Consultancy Services; Pennington (NJ); On-site; USD 105,000 - 125,000; Full time

Benefits offered by this job

Discretionary Annual Incentive

Comprehensive Medical Coverage

Vacation and Sick Leave

401K Plan

Training Reimbursement

Job summary

Tata Consultancy Services is seeking a strong hands-on ML Engineer located in Pennington, New Jersey. This role involves data science, model development, and building scalable data/ML pipelines. Candidates should have strong Python skills and experience with AWS/Azure/GCP ML services.

The position offers a salary range of $105,000 - $125,000 a year along with comprehensive employee benefits including medical coverage and parental support.

Qualifications

• Deep experience in data science and model development.
• Experience in building scalable data/ML pipelines.
• Strong knowledge of ML model evaluation techniques.

Responsibilities

• Deliver production-ready ML solutions.
• Build and maintain ML/data pipelines.
• Implement CI/CD for ML workflows.

Skills

CI/CD for ML

Strong Python (NumPy, pandas, scikit-learn)

Experience on AWS/Azure/GCP ML services

Data Preparation & Feature Engineering

Building scalable data/ML pipelines

Education

Bachelor of Computer Science

Tools

Docker

Kubernetes

Spark

Databricks

Airflow

Job description

MLOps & Deployment

CI/CD for ML, MLflow/Kubeflow/SageMaker/Azure ML

Model versioning, monitoring, retraining workflows

Docker, Kubernetes for deployment

Job Description

Must Have Technical/Functional Skills

Programming & Cloud

Strong Python (NumPy, pandas, scikit-learn, PyTorch/TensorFlow)

Experience on AWS/Azure/GCP ML services

Roles & Responsibilities

Looking for a strong hands‑on ML Engineer with deep experience in data science, model development, and building scalable data/ML pipelines. Candidate must be technically solid, execution‑focused, and able to deliver production-ready ML solutions.

Core Technical Skills Needed

ML Model Development

• Supervised models: Logistic Regression, Random Forest, XGBoost/LightGBM, SVMs
• Deep learning: Neural Networks, CNN/RNN, Transformers (PyTorch or TensorFlow)
• Classification models and evaluation techniques (AUC, ROC, precision/recall, cross‑validation)
• Data Preparation & Feature Engineering: Data cleaning, handling missing values & outliers, Feature scaling, encoding, time‑series feature generation, Strong EDA and statistical analysis skills

Data Pipeline Engineering

• Build and maintain ML/data pipelines using Spark, Databricks, Airflow
• Data ingestion, transformation, validation (Great Expectations preferred)

MLOps & Deployment

• CI/CD for ML, MLflow/Kubeflow/SageMaker/Azure ML
• Model versioning, monitoring, retraining workflows
• Docker, Kubernetes for deployment

Programming & Cloud

• Strong Python (NumPy, pandas, scikit-learn, PyTorch/TensorFlow)
• Experience on AWS/Azure/GCP ML services

TCS Employee Benefits Summary

• Discretionary Annual Incentive
• Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans
• Family Support: Maternal & Parental Leaves
• Insurance Options: Auto & Home Insurance, Identity Theft Protection
• Convenience & Professional Growth: Commuter Benefits & Certification & Training Reimbursement
• Time Off: Vacation, Time Off, Sick Leave & Holidays
• Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing
• Salary Range: $105,000 - $125,000 a year

Qualifications

BACHELOR OF COMPUTER SCIENCE