Overview
Hybrid
$50 - $60
Contract - W2
Contract - 12 Month(s)
Skills
MLOps
Machine Learning Engineering
AWS
Python
Terraform
PyTorch
Job Details
- Overall 10+ years of experience with 4+ years of experience in MLOps, Machine Learning Engineering, or a related DevOps role with a focus on ML workflows
- Extensive hands-on experience in designing and implementing MLOps solutions on AWS. Proficient with core services like SageMaker, S3, ECS, EKS, Lambda
- Strong coding proficiency in Python. Extensive experience with automation tools, including Terraform for IaC and GitHub Actions.
- A solid understanding of MLOps and DevOps principles. Hands-on experience with MLOps frameworks like Sagemaker Pipelines, Model Registry, Weights.
- Expertise in developing and deploying containerized applications using Docker and orchestrating them with ECS and EKS.
- Experience with model testing, validation, and performance monitoring.
- Good understanding of ML frameworks like PyTorch or TensorFlow is required .
- Excellent communication and documentation skills, with a proven ability to collaborate with cross-functional teams.
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