ML Engineer

Senior AWS ML Engineer Must Have Technical/Functional Skills Amazon SageMaker Expertise – Strong experience with SageMaker Studio, Training Jobs, Pipelines, Model Registry, Feature Store, and Endpoint Deployment. Machine Learning & Deep Learning – Hands-on experience building, training, tuning, and deploying ML/DL models using Scikit-learn, XGBoost, TensorFlow, and PyTorch. AWS Cloud Services – Proficiency in S3, EC2, IAM, Lambda, ECR, ECS/EKS, CloudWatch, and Step Functions for ML workloads. MLOps & CI/CD – Experience implementing automated ML pipelines, model versioning, deployment automation, monitoring, and retraining workflows. Python Programming – Strong coding skills with Python and ML libraries such as Pandas, NumPy, Scikit-learn, and Boto3. Data Engineering & Analytics – Experience with data ingestion, transformation, and processing using AWS Glue, Athena, Redshift, and EMR. Model Monitoring & Governance – Expertise in data drift detection, model performance monitoring, explainability, and governance using SageMaker monitoring capabilities. Solution Architecture & Leadership – Ability to design scalable end-to-end ML solutions on AWS, lead technical discussions, mentor teams, and collaborate with business stakeholders. Roles & 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. Generic Managerial Skills, If any Strong leadership and stakeholder management skills, with experience leading cross-functional teams and driving delivery excellence. Proven effective communication with business and technical stakeholders. 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: $120,000-135,000 a year Location Malvern, PA Function TECHNOLOGY Role Engineer

ID 429145