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Неделя 310 ₽Месяц 630 ₽3 месяца 1 680 ₽Год 5 680 ₽

gUkdbe GBdmDVaC - ML Operations — United States

ML и AI, MLOps · сегодня, 15:06 · 09.11.2026

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Компания: ••••••••

Локация: United States

Формат: не указан

Занятость: Полная занятость

Грейд: Senior

For our client, we are seeking a Senior Engineer - ML Operations to join the team of a leader in the Business Services space.

This role will help shape the end-to-end machine learning and LLM operations environment that supports reliable, scalable AI delivery across the organization.

You will work closely with engineering and product teams to productionize automated workflows, strengthen deployment practices, and improve the observability and governance of AI systems.

The position will also focus on building self-service tooling and standards that enable efficient, cost-conscious development and deployment of ML and agentic solutions.

Location: Remote

Compensation: $180,000 – $220,000 annually

Responsibilities

• Own the end-to-end ML and LLM lifecycle, including experiment tracking and model serving.

• Partner with teams to productionize agentic workflows and automations using orchestration frameworks.

• Implement CI/CD, evaluation, and observability for ML and agents, ensuring safe deployment patterns.

• Drive compute and cost efficiency for AI workloads through effective resource management.

• Build self-service ML and agent tooling, establishing MLOps and LLMOps standards.

Qualifications

• Degree in Computer Science, Engineering, or related field, or equivalent experience.

• 4+ years in software, ML, or infrastructure engineering with hands-on MLOps/LLMOps experience.

• Strong experience with ML and LLM lifecycle tools like MLflow and Weights & Biases.

• Proficient in containerization and orchestration (Docker, Kubernetes) and major cloud platforms (Azure preferred).

• Proficiency in Python and familiarity with Bash for automation and pipeline development.

Benefits

• Comprehensive health care programs.

• Paid time off.

• 401(k) plan for eligible employees.

• Flexible remote working arrangements.

• Opportunities for career enrichment and development.

Our client is an equal opportunity employer. We encourage you to apply even if you don’t meet every qualification—your background could be exactly what this team needs.

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