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

• 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: ...