Staff Machine Learning Operations Engineer

Position Summary :

The Staff Machine Learning Operations Engineer is recognized as a master in Machine Learning Operations and is responsible for the design, development, analysis, testing, and implementation of Machine Learning (ML) services and infrastructure. The candidate will test new technologies, develop best practices and guides, and serve as a subject matter expert for the Development Operations & Analytics Team. This Staff-level position works on significant and unique issues where analysis of situations and data requires an evaluation of intangibles. They communicate project information to clients, project managers, or other design personnel working on projects, maintaining good working relationships with clients and staff. They write and maintain complete documentation, support team members, and ensure established goals and deadlines are met. They keep management informed of status and significant problems.

Job Details : Work from Home

Monday to Friday | 9 AM to 6 PM MST (12 AM to 9 AM Philippine Time)

Responsibilities :

• Design and develop web / backend and CI / CD services.
• Manage multiple tasks and responsibilities in high-pressure environments, excelling at pinpointing and resolving problems in early project stages to avoid cost / time expenses.
• Deliver high-quality projects on time through the ability to design architecture.
• Write high-quality code and effective unit tests, establishing and enforcing standards for other engineers.
• Monitor and optimize performance for high-utilization 24x7 services.
• Reduce incident occurrence by eliminating root causes and continually improving and advocating for organizational best practices and standards.
• Research and integrate third-party products with existing infrastructure.
• Anticipate the future state of the ML Ops platform and continuously update architecture.
• Evaluate technology over mid to long-term time horizons and consider business and technical trade-offs.
• Work with product teams to gather business processes and project requirements.
• Research, design, and develop computer software systems in conjunction with hardware product development, applying principles and techniques of computer science, engineering, and mathematical analysis.
• Analyze software requirements to determine feasibility of design within time and cost constraints.
• Consult with hardware engineers and other engineering staff to evaluate and recommend interface between hardware and software, and operational and performance requirements of overall systems.
• Formulate and design complex software systems, using scientific analysis and mathematical models to predict and measure outcomes and consequences of design.
• Develop and direct software system testing procedures, programming, and documentation.
• Ensure the work area is clean, secure, and well maintained.
• Perform miscellaneous projects as assigned.
• Update technical skills as required.
• Perform other related duties as assigned.

Knowledge, Skills, and Abilities :

Qualifications :

Preferred Qualifications :

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