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Machine learning Engineer

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Onsite

Machine learning Engineer

Tata Consultancy Services

Machine learning Engineer

Skills

Google Cloud PlatformDeep LearningDockerPythonData ScienceNumPypandasPyTorchTensorFlowDatabricksMachine LearningAWSKubernetesApache AirflowAzure

2 months ago

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Important information


Contract type:

Permanent

Location:

Pennington, NJ 08534, USA

Work mode:

Onsite

Published on:

15 August 2026

What they need


Must Have Technical/Functional Skills

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

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

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