MLOps Lead

Role Summary

Building the machine learning production system (or MLOps) is the biggest challenge most large companies currently face in becoming an AI-driven organization. This position offers an opportunity for an experienced, server-side developer to build expertise in this exciting new frontier.

Responsibilities

• Leader for MLOPs will be the key leader in the AI@Scale practice.
• Responsible for architecting and executing technology projects across client AI and Engineering engagements.
• Builds trusted relationships with middle and senior management across lines.
• Supports client projects, leads solution design, and contributes to the overall MLOps engineering using on-premise (open-source) or cloud-based (AWS) architectures.
• Researches and evangelizes the use of GenAI, data-science, and engineering solutions for strategic decision-making.
• Articulates business value and benefits of the technological solution to senior business and technology partners.
• Researches, designs, and implements leading-edge MLOps architecture patterns to solve hard problems for the clients.
• Bridges GenAI, data-science & engineering thinking to win large AI-led digital transformation deals.
• Leads client delivery engagements, develops detailed business cases, product roadmaps, and financial justifications to quantify the business value of technological programs.
• Manages AI and engineering processes and governance methods to manage the risk of delivery.
• Helps clients define and design AI-based solution architectures.
• Develops product roadmaps and helps 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 in 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, experience in building large production systems.
• Experience engaging with CXO’s of client companies.
• Client service orientation, ability to work with client leadership to develop solutions, build trust, and deploy appropriate scalable solutions.
• High learning orientation, stays updated with and shares industry/technology trends relevant to the AI Machine learning discipline.

Pay

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

• Health, dental, vision, life insurance, and disability plans.
• 11 paid holidays and 12 weeks of Parental Leave.
• Free time PTO policy.
• Company 401(k) Plan after 30 days of employment.

Hiring

If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us! Hiring Related Queries: India: HiringsupportIndia@fractal.ai Outside India: HiringsupportROW@fractal.ai This inbox does not process resume submissions. All applications must be made through posted job openings. Not the right fit? Let us know you're interested in a future opportunity by clicking Introduce Yourself in the top-right corner of the page or create an account to set up email alerts as new job postings become available that meet your interest!