Job Title: Sr ML Engineer
Location: CITY - Malvern, PA
Duration: 6 months
Experience Required: 8-10
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.