AWS Sagemaker - Atlanta, GA/ Charlotte NC (3days Hybrid Initially then onsite)(Only locals) - Must be on our W2

Role: AWS Sagemaker

Location: Atlanta, GA/ Charlotte NC (3days Hybrid Initially then onsite)(Only locals)

Client: Cognizant/Truist

3-5yrs relevant should be fine

Note:

• Must be willing to work on our W2

Experience:

• 10+ years of experience in data science, machine learning, or cloud-based AI solution development.
• 3+ years of hands-on experience with AWS SageMaker.
• Proven experience deploying ML models in production at scale in enterprise environments (preferably in financial services or technology sectors).

Technical Skills:

• AWS Services: SageMaker, S3, Lambda, Glue, Redshift, ECS/EKS, CloudWatch, Step Functions, IAM, CodePipeline.
• Programming: Python (required), SQL, Bash; familiarity with Java or R is a plus.
• Frameworks: TensorFlow, PyTorch, Scikit-learn, XGBoost, LightGBM.
• Data Tools: Pandas, Spark, Airflow, AWS Data Wrangler.
• MLOps: SageMaker Pipelines, MLflow, Kubeflow, or similar.
• Version Control: Git, GitHub, Bitbucket.
• Containerization: Docker, Kubernetes (EKS preferred).
• Strong understanding of model lifecycle management, monitoring, and retraining strategies