AWS Sagemaker - Atlanta, GA/ Charlotte NC (3days Hybrid Initially then onsite)(Only locals) - Must be on our W2
Vinsari LLC
- Job
- 29194
- Posted
- Location
- Atlanta, GA
- Work type
- Contract
- Tax terms
- W2, C2C, 1099
- Experience
- Experience open
- Openings
- 1 opening
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Skills
- Java
- SQL
- Python
- Pandas
- Spark
- Airflow
- Redshift
- AWS
- Kubernetes
- Docker
- Bash
- IAM
About the job
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