SageMaker ML Engineer | End-to-End AWS ML Pipelines

Tata Consultancy Services; Malvern (Chester County); On-site; USD 100,000 - 135,000; Full time

Benefits offered by this job

Discretionary Annual Incentive

Comprehensive Medical Coverage

Maternal & Parental Leaves

401K Plan

Certification & Training Reimbursement

Vacation & Holidays

Job summary

Tata Consultancy Services is seeking a seasoned ML Engineer to design, build, and deploy scalable machine learning solutions on AWS. You will own end-to-end pipelines, coordinate with data scientists and engineers, and ensure robust deployment, monitoring and governance of models.

Ideal candidates will have hands-on experience with SageMaker, Scikit-learn, TensorFlow/PyTorch, and a strong background in data engineering using AWS services.

Qualifications

• Bachelor's degree in Computer Science or related field.

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.

Skills

Leadership

Stakeholder communication

Cloud architecture

End-to-end ML design

Education

Bachelor of Computer Science

Tools

SageMaker

Scikit-learn

XGBoost

TensorFlow

PyTorch

S3

EC2

IAM

Lambda

ECR

ECS/EKS

CloudWatch

Step Functions

AWS Glue

Athena

Redshift

EMR

Pandas

NumPy

Boto3

Job description

Tata Consultancy Services is seeking a seasoned ML Engineer to design, build, and deploy scalable machine learning solutions on AWS. You will own end-to-end pipelines, coordinate with data scientists and engineers, and ensure robust deployment, monitoring and governance of models.

Ideal candidates will have hands-on experience with SageMaker, Scikit-learn, TensorFlow/PyTorch, and a strong background in data engineering using AWS services.