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Machine learning Engineer

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Tata Consultancy Services Limited

Pennington, NJ (In Person)

$115,000 Salary, Full-Time

Posted 1 week ago (Updated 4 days ago) • Actively hiring

Expires 6/6/2026

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Job Description

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

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