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Machine learning Engineer

Job in Pennington, Mercer County, New Jersey, 08534, USA
Listing for: Tata Consultancy Services
Full Time position
Listed on 2026-05-05
Job specializations:
  • IT/Tech
    Machine Learning/ ML Engineer, AI Engineer
Salary/Wage Range or Industry Benchmark: 105000 - 125000 USD Yearly USD 105000.00 125000.00 YEAR
Job Description & How to Apply Below

MLOps & Deployment

CI/CD for ML, MLflow/Kubeflow/Sage Maker/Azure ML

Must Have Technical/Functional Skills

MLOps & Deployment: CI/CD for ML, MLflow/Kubeflow/Sage Maker/Azure ML

Model versioning, monitoring, retraining workflows

Docker, Kubernetes for deployment

Strong Python (Num Py, pandas, scikit-learn, PyTorch/Tensor Flow)

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/Light

    GBM, SVMs
Deep Learning
  • Neural Networks, CNN/RNN, Transformers (PyTorch or Tensor Flow)
  • 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 (Details)
  • CI/CD for ML, MLflow/Kubeflow/Sage Maker/Azure ML
  • Model versioning, monitoring, retraining workflows
  • Docker, Kubernetes for deployment
Programming & Cloud
  • Strong Python (Num Py, pandas, scikit-learn, PyTorch/Tensor Flow)
  • 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

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