Machine Learning Engineer (Operations)

Location: South San Francisco CA (Hybrid, 3 days/week) (Not remote)

Duration: Long term

JD

• Strong understanding of machine learning concepts, algorithms, and best practices.
• Proven experience in creating, managing, and deploying ML models using core AWS services such as Amazon SageMaker (for model building, training, and deployment), EC2 (for compute instances), S3 (for data storage), and Lambda (for serverless functions).
• Experience with AWS Textract for document data extraction.
• Demonstrable experience in designing, developing, and maintaining automated data processing and ML training pipelines using AWS Glue (for ETL) and AWS Step Functions (for workflow orchestration).
• Proficiency in ensuring seamless data ingestion, transformation, and storage strategies within the AWS ecosystem.
• Experience in optimizing...