Sr Engineer, Data Science & Machine Learning Operations
New
United StatesFull-TimeSenior
Salary165,000 - 200,000 USD per year
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Job Details
- Experience
- 5+ years
- Required Skills
- Cloud ComputingETLMachine LearningData engineeringCI/CDTerraform
Requirements
- 5+ years of professional experience in data science and machine learning.
- Hands-on experience building and deploying models in production.
- Strong experience with AWS ML and data services (especially SageMaker).
- Ability to translate business problems into analytical solutions.
- Experience building and operating scalable, governed data lakes.
- Solid understanding of data engineering (ETL, streaming, data modeling).
- Familiarity with Infrastructure as Code tools (Terraform, CDK, or CloudFormation).
- Operational experience with CI/CD, monitoring, and observability.
- Experience with production incident handling.
- Excellent collaboration and communication skills.
Responsibilities
- Partner with business stakeholders to identify machine learning opportunities and translate them into practical solutions.
- Design and execute experiments using applied ML techniques like classification, regression, and optimization.
- Own end-to-end model lifecycle from data preparation through deployment and monitoring.
- Build and maintain production ML pipelines using AWS SageMaker.
- Operate data ingestion and transformation pipelines using AWS Glue, Step Functions, and EventBridge.
- Manage S3-based data lake architecture with Iceberg tables and data cataloging.
- Implement observability, monitoring, and drift detection across systems.
- Collaborate on secure, scalable cloud operations using infrastructure as code.
- Optimize performance and cost efficiency for data and ML workloads.
- Participate in incident response for ML systems and data pipelines.
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