MLOps Manager

Job title:

MLOps Manager

Company:

Bershaw

Job description

As a MLOps Manager, you will

• Lead an international team of engineers to develop cutting-edge MLOps solutions to the hardest industry problems for our internal users and top-tier clients.
• Manage technical projects from initiation to completion, defining the project scope objectives, and deliverables. To achieve this, you will:
• Develop comprehensive project plans, including timelines, resource allocation, and risk assessments.
• Identify and manage project risks, developing contingency plans to address unforeseen obstacles and maintain project momentum.
• Lead and motivate a diverse team of professionals, providing guidance and direction to ensure project goals are met efficiently and effectively, fostering a collaborative and results-driven team environment.
• Monitor project performance and take proactive measures to ensure the delivery of high-quality solutions.
• Develop documentation, monitor and report project status, assess the effectiveness and accuracy of documentation.
• Foster clear and transparent communication channels with stakeholders, team members, and senior management to provide updates on project status, milestones, and potential challenges.
• Collaborate and communicate with other project managers and leaders to coordinate cross-project initiatives and activities.
• Demonstrates an understanding of users’ needs and effectively participates in the development and implementation of business solutions.

Required Qualifications

• Master’s degree in Computer Science, Engineering, Physics, Data Science, Operations Research, or related field.
• 5+ years of hands-on experience in software engineering, DevOps, data science, IT and/or other relevant engineering domains.
• 2+ years of successful project management experience in leading and managing engineering teams in a technology-driven company.
• Hands-on experience in development, deployment and production environments for AI solutions (particularly LLMs)
• Solid understanding of DevOps practices and agile methodologies.
• Strong knowledge of Python, Docker and Git.
• Experience with GitHub/Gitlab workflows and functionalities.
• Excellent leadership skills with the ability to motivate and guide cross-functional teams effectively.
• Solid organizational and time-management skills, coupled with a keen eye for detail.
• Exceptional communication with a perfect command of English.

Preferred Qualifications

• PhD in Computer Science, Engineering, Physics, Data Science, Operations Research, or related field.
• Familiarity with Kubernetes and AWS Cloud.

Expected salary

Location

España

Job date

Fri, 27 Jun 2025 04:00:38 GMT

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