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Tier-1 employer and metro location increase applicant density but senior niche ML platform focus moderates it.
Role requires specialized ML platform and production ML lifecycle expertise, limiting cross-industry transferability.
Explicit 10+ years requirement plus deep ML platform and production experience makes filters stringent.
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Own end-to-end ML system development including pipelines for data ingestion, training, deployment, and monitoring.
Design and evolve ML platforms and services that improve business workflows and operational efficiency.
Translate models from research to production-quality code with scalability, robustness, and continuous validation.
Bachelor's degree in Computer Science, Computer Engineering, or related field.
Minimum 7+ years of software development experience focused on machine learning pipelines, applications, or platforms.
Proficient in at least one general-purpose programming language such as Python, Go, Java, or Rust.
Experience building enterprise data platforms with governance and compliance considerations preferred; Work Experience Required: 7+ years.
Experienced in building and scaling ML lifecycle systems with strong production deployment and monitoring capabilities.
Skilled in software engineering best practices including maintainability, quality standards, and mentorship.
Able to collaborate closely across engineering, data, and product teams to integrate ML innovations into enterprise workflows.