Role: AWS SageMaker Developer (Machine Learning)
Location: Malvern, PA (Onsite)
Duration: Long Term Contract
SKILLS: Machine Learning, Gen AI, Python, Pyspark, Model Development, Sagemaker, Unified studio, AWS cloud
ROLE_DESCRIPTION –
Strong hands‑on experience with AWS SageMaker for end‑to‑end ML development (data prep, training, tuning, deployment, monitoring)
Advanced proficiency in Python and ML frameworks (TensorFlow / PyTorch / Scikit‑learn)
Experience building scalable ML pipelines using SageMaker Pipelines, Feature Store, Model Registry
Solid understanding of MLOps: CI/CD, model versioning, experiment tracking, monitoring & drift detection
Expertise in AWS services: S3, IAM, EC2, ECR, EKS/Lambda, CloudWatch Strong data engineering & feature engineering skills; SQL and large‑scale datasets Production‑grade software engineering practices (Git, APIs, Docker, automation) Experience working in secure, regulated environments Excellent communication skills
Ability to lead design discussions and collaborate with stakeholders
Role Descriptions: Sr ML Engineer
Essential Skills: Sr ML Engineer
Skills: Digital : Amazon Web Service(AWS) Cloud Computing~Digital : Machine Learning~Digital : Azure Machine Learning (ML)
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Thanks & regards, Sonu Chauhan Sr. Technical Recruiter |
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571-678-0927 |
