MLOps Lead

Role Description

Building the machine learning production System (or MLOps) is the biggest challenge most large companies currently have in making the transition to becoming an AI-driven organization. This position is an opportunity for an experienced, server-side developer to build expertise in this exciting new frontier. You will be part of a team deploying state-of-the-art AI solutions for Fractal clients.

Responsibilities

• Leader for MLOPs in the View email address on remotive.com practice.
• Architect and execute technology projects across client AI and Engineering engagements.
• Build trusted relationships with middle and senior management across lines.
• Support client projects, lead solution design, and contribute to overall MLOps engineering using on-premise (open-source) or cloud-based (AWS) architectures.
• Act as a subject matter expert in machine-learning model deployment and MLOps pipelines.
• Research and evangelize the use of GenAI, data-science, and engineering solutions for strategic decision-making.
• Articulate business value and benefits of technological solutions to senior business and technology partners.
• Research, design, and implement leading-edge MLOps architecture patterns to solve hard problems for clients.
• Lead client delivery engagements and develop detailed business cases, product roadmaps, and financial justifications.
• Implement AI and engineering processes and governance methods to manage delivery risk.
• Help clients define and design AI-based solution architectures.
• Provide thought leadership in enterprise-grade machine-learning operations and modern cloud adoption patterns.
• Develop product roadmaps and help clients prioritize based on business objectives and impact.

Qualifications

• 15+ years of experience building engineering and data-science businesses across various technologies.
• Deep technical skills along with strong client and market orientation.
• Experience or expertise in building and deploying machine-learning pipelines.
• Experience or expertise in cloud-based and hybrid deployments.
• Experience with Model repository (either of): MLFlow, Kubeflow Model Registry.
• Experience working across all phases of model development lifecycle to build MLOPs components.
• Experience with cloud-based technologies (AWS).
• Experience building production-grade LLM based solutions.
• Visionary with experience in building large production systems.
• Prior experience engaging with CXOs of client companies.
• Client service orientation with the ability to work with client leadership to develop solutions.
• Exhibits high learning orientation and stays abreast of industry/technology trends relevant to AI and machine learning.

Education

• B.E/B.Tech/M.Tech in Computer Science or related technical degree OR Equivalent.

Pay

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. A reasonable estimate of the current range is: $140,000 - $205,000. In addition, for the current performance period, you may be eligible for a discretionary bonus.

Benefits

• Eligible for health, dental, vision, life insurance, and disability plan from the first day of employment.
• Eligible to participate in the Company 401(k) Plan after 30 days of employment.
• 11 paid holidays and 12 weeks of Parental Leave.
• “Free time” PTO policy for sick time or vacation.