ML Engineer
Tata Consultancy Services · Malvern, PA · 2 mo ago
Information Technology$100k–$135k/yrFull-time
Responsibilities
- Design, build, and deploy scalable Machine Learning solutions on AWS using SageMaker, ensuring high performance, reliability, and security.
- Develop and maintain end-to-end ML pipelines, including data preparation, model training, hyperparameter tuning, deployment, and monitoring.
- Collaborate with data scientists, engineers, and business stakeholders to operationalize ML models, automate workflows, and drive business outcomes through AI/ML solutions.
- Lead cross-functional teams and drive delivery excellence.
- Communicate effectively with business and technical stakeholders.
Requirements
- 8+ years of experience in Machine Learning and AWS cloud services.
- Strong experience with Amazon SageMaker (Studio, Training Jobs, Pipelines, Model Registry, Feature Store, Endpoint Deployment).
- Hands-on experience building, training, tuning, and deploying ML/DL models using Scikit-learn, XGBoost, TensorFlow, and PyTorch.
- Proficiency in AWS Cloud Services: S3, EC2, IAM, Lambda, ECR, ECS/EKS, CloudWatch, and Step Functions for ML workloads.
- Experience implementing automated ML pipelines, model versioning, deployment automation, monitoring, and retraining workflows (MLOps & CI/CD).
- Strong Python programming skills with ML libraries such as Pandas, NumPy, Scikit-learn, and Boto3.
- Experience with data ingestion, transformation, and processing using AWS Glue, Athena, Redshift, and EMR.
- Expertise in data drift detection, model performance monitoring, explainability, and governance using SageMaker monitoring capabilities.
- Ability to design scalable end-to-end ML solutions on AWS, lead technical discussions, mentor teams, and collaborate with business stakeholders.
Qualifications
Bachelor of Computer Science.
Benefits
- 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.
- 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.
Pay
$100,000 - $135,000 a year