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About the Role
Job Description
As a Senior Machine Learning Engineer, you will be the bridge between data science theory and production-grade reality. You will design, develop, and deploy robust ML pipelines and services across a hybrid infrastructure. This role is deeply technical, requiring a senior mindset where you take ownership of model observability, registration, and the selection of the right algorithms for the right problems. You will work within a sophisticated stack (Databricks, Terraform, Snowflake, and AWS) to ensure that ML models don't just work in a notebook, but provide sustained value in a live, distributed environment.
Advantages
Advantages
Flexible Engagement: Primarily contract-based with a strong openness to Contract-to-Hire or direct Permanent Full-Time for the right fit.
Scale & Impact: Work on a high-visibility roadmap where your contributions directly affect project delivery timelines for a global brand.
Professional Growth:...
As a Senior Machine Learning Engineer, you will be the bridge between data science theory and production-grade reality. You will design, develop, and deploy robust ML pipelines and services across a hybrid infrastructure. This role is deeply technical, requiring a senior mindset where you take ownership of model observability, registration, and the selection of the right algorithms for the right problems. You will work within a sophisticated stack (Databricks, Terraform, Snowflake, and AWS) to ensure that ML models don't just work in a notebook, but provide sustained value in a live, distributed environment.
Advantages
Advantages
Flexible Engagement: Primarily contract-based with a strong openness to Contract-to-Hire or direct Permanent Full-Time for the right fit.
Scale & Impact: Work on a high-visibility roadmap where your contributions directly affect project delivery timelines for a global brand.
Professional Growth:...
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