Ml Engineer

Description:

Strong experience in ETL development, data modeling, and managing data in large-scale environments. - Proficient in AWS services including SageMaker, S3, Glue, Lambda, and CloudFormation/Terraform. - Hands-on expertise with MLOps best practices, including model versioning, monitoring, and CI/CD for ML pipelines.

- Proficiency in Python and SQL; experience with Java is a plus for streaming jobs.

- Deep understanding of cloud infrastructure automation using Terraform or similar IaC tools. - Excellent problem-solving skills with the ability to troubleshoot data processing and deployment issues.

- Experience in fast-paced, agile development environments with frequent delivery cycles.

- Strong communication and collaboration skills to work effectively across cross-functional team Role & responsibilities