We're looking for a hands-on ML engineer to prototype and productionize complex classification flows on real production logs, operate prompted classifiers at scale (ad hoc and scheduled), and build secure, compliant data-labeling pipelines.

Responsibilities:

• Build evaluation loops (precision/recall, calibration, drift, human-in-the-loop) and publish dashboards/SLOs.
• Generalize machine learning (ML) solutions into repeatable frameworks.
• Operationalize prompted classifiers at scale (batch & streaming), including orchestration, autoscaling, monitoring, and cost guardrails.
• Conduct thorough review of data analysis and techniques used to summarize the process review and highlight areas that have been missed or need re-examining.
• Collaborate cross-functionally with DS, Security, and Platform to define schemas, access patterns, and governance.
• Independently write efficient, readable, extensible code and model pipelines.

Qualifications:

• Bachelor’s Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.
• 7+ years’ experience writing production-quality Python or Java or Scala code.
• 5+ years’ experience in distributed systems design and implementation of large scale data processing systems
• 3+ years’ experience building ML data pipelines using atleast one of AML, Promptflow, Langchain or LangGraph
• Demonstrated interest in Responsible AI.
• Experience prompting, evaluating, and working with large language models.

XML job scraping automation by YubHub

Responsibilities:

• Build evaluation loops (precision/recall, calibration, drift, human-in-the-loop) and publish dashboards/SLOs.
• Generalize machine learning (ML) solutions into repeatable frameworks.
• Operationalize prompted classifiers at scale (batch & streaming), including orchestration, autoscaling, monitoring, and cost guardrails.
• Conduct thorough review of data analysis and techniques used to summarize the process review and highlight areas that have been missed or need re-examining.
• Collaborate cross-functionally with DS, Security, and Platform to define schemas, access patterns, and governance.
• Independently write efficient, readable, extensible code and model pipelines.
• Commit to a customer-oriented focus by acknowledging customer needs and perspectives, validating customer perspectives, focusing on broader customer context, and serving as a trusted advisor.

Qualifications:

• Bachelor’s Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.
• 7+ years’ experience writing production-quality Python or Java or Scala code.
• 5+ years’ experience in distributed systems design and implementation of large scale data processing systems
• 3+ years’ experience building ML data pipelines using atleast one of AML, Promptflow, Langchain or LangGraph
• Demonstrated interest in Responsible AI.
• Experience prompting, evaluating, and working with large language models.

XML job scraping automation by YubHub

We’re looking for a hands-on ML engineer to prototype and productionize complex classification flows on real production logs, operate prompted classifiers at scale (ad hoc and scheduled), and build secure, compliant data-labeling pipelines.

Responsibilities:

• Build evaluation loops (precision/recall, calibration, drift, human-in-the-loop) and publish dashboards/SLOs.
• Generalize machine learning (ML) solutions into repeatable frameworks.
• Operationalize prompted classifiers at scale (batch & streaming), including orchestration, autoscaling, monitoring, and cost guardrails.
• Conduct thorough review of data analysis and techniques used to summarize the process review and highlight areas that have been missed or need re-examining.
• Collaborate cross-functionally with DS, Security, and Platform to define schemas, access patterns, and governance.
• Independently write efficient, readable, extensible code and model pipelines.

Commit to a customer-oriented focus by acknowledging customer needs and perspectives, validating customer perspectives, focusing on broader customer context, and serving as a trusted advisor.

Qualifications:

• Bachelor’s Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.
• 7+ years’ experience writing production-quality Python or Java or Scala code.
• 5+ years’ experience in distributed systems design and implementation of large scale data processing systems
• 3+ years’ experience building ML data pipelines using atleast one of AML, Promptflow, Langchain or LangGraph
• Demonstrated interest in Responsible AI.
• Experience prompting, evaluating, and working with large language models.

XML job scraping automation by YubHub