Machine learning Engineer

Tata Consultancy Services Limited

Pennington, NJ, United States

2 months ago

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Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Compensation

$105,000.0 - $125,000.0

Working hours

Regular working hours

Job source

indeed.com

Tech stack

Airflow Amazon Web Services Artificial Neural Networks Microsoft Azure Cloud Computing Encodings Computer Programming Continuous Integration Data Cleansing Python (Programming Language) Logistic Regression Machine Learning

+19 more

NumPy Tensorflow Azure Machine Learning Feature Engineering Data Ingestion Pytorch Random Forest Apache Spark Deep Learning Pandas Scikit Learn Kubernetes Information Technology Xgboost Machine Learning Operations Software Version Control Data Pipelines Docker Databricks

Job description

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

Requirements

Do you have experience in Time series models?, Do you have a Bachelor’s degree?, Qualifications : BACHELOR OF COMPUTER SCIENCE

Benefits & conditions

Pulled from the full job description

Pet insurance
Health insurance
Vision insurance
Dental insurance
Commuter assistance, 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