MLOps Lead

Fractal; New York (NY); On-site; USD 140,000 - 205,000; Full time

Benefits offered by this job

401(k) Plan

Paid holidays

Parental Leave

Job summary

Fractal is seeking a Senior MLOps Lead to architect and deliver production ML systems for Fortune 500 clients. You will lead the MLOps practice, drive AI@Scale engagements, and guide teams across on-premise and cloud deployments.

The role requires deep ML expertise, strong leadership, and CXO-facing communication. You will influence technology strategy, evangelize GenAI, and design scalable ML architectures while delivering tangible business value and measurable outcomes.

Qualifications

• 15+ years of engineering and data-science experience.
• Deep technical skills with strong client orientation.
• Experience building and deploying machine-learning pipelines.
• Cloud-based and hybrid deployments experience.
• Familiarity with MLFlow or Kubeflow registries.

Responsibilities

• Lead MLOps and oversee AI@Scale projects for clients.
• Architect and deliver production ML systems and pipelines.
• Engage CXOs and build trusted client relationships.
• Develop product roadmaps and quantify business value for solutions.

Skills

MLOps

Cloud deployments

Model deployment

Client leadership

GenAI awareness

Education

B.E./B.Tech./M.Tech in Computer Science or related field

Tools

MLFlow

Kubeflow Model Registry

Job description

## MLOps LeadApplylocations: New Yorktime type: Full timeposted on: Posted Todaytime left to apply: End Date: August 31, 2026 (30+ days left to apply)job requisition id: SR-43826It's fun to work in a company where people truly BELIEVE in what they are doing!*We're committed to bringing passion and customer focus to the business.***Senior MLOps Engineer**Fractal is a strategic AI partner to Fortune 500 companies with a vision to power every human decision in the enterprise. Fractal is building a world where individual choices, freedom, and diversity are the greatest assets. An ecosystem where human imagination is at the heart of every decision. Where no possibility is written off, only challenged to get better. We believe that a true Fractalite is the one who empowers imagination with intelligence. Fractal has been featured as a Great Place to Work by The Economic Times in partnership with the Great Place to Work Institute and recognized as a ‘Cool Vendor’ and a ‘Vendor to Watch’ by Gartner.Please visit Fractal | Intelligence for Imagination for more information about FractalLocation: Remote (East Coast time zone)Note: This position is not eligible for Immigration Sponsorship at this time.**ROLE SUMMARY:**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:**Based out of US, Leader for MLOPs will be the key leader in the AI@Scale practice. The person will be responsible to architect and execute technology projects across client AI and Engineering engagements. S/He will be accountable for building a trusted relationship, at middle and senior management across lines.**Technical Leadership:*** As the MLOps leader, S/he will support client projects, lead solution design, and contribute to the 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 – strong understanding of Machine-learning model building lifecycle, deployment, monitoring and production* Research and evangelize the use of GenAI, data-science and engineering solutions for strategic decision-making* Articulate business value and benefits of the technological solution to senior business and technology partners* Research, design and implement leading-edge MLOps architecture patterns to solve hard problems for the clients* Bring GenAI, data-science & engineering thinking to win large AI led digital transformation deals**Execution Focus:*** Lead client delivery engagements. Develop detailed business case, product roadmaps and financial justifications to quantify the business value of technological programs* Implement AI and engineering processes and governance methods to manage the risk of delivery* Help clients to define and design AI based solution architectures**Thought Leadership:*** Lead and energize the teams and clients by providing 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:**Fractal seeks to hire a seasoned Technologist who will help in discovering and implementing state-of-the-art solutions for their AI and Machine Learning projects to enable rapid experimentation, increase accuracy of the models, ensure high quality of their products and achieve customer delight.The ideal candidate should possess the following key requirements:* 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* Should be a visionary, should have experience in building large production systems* Prior 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* Exhibits High learning orientation. Stay abreast of and share industry/technology trends relevant to the AI Machine learning discipline**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. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Fractal, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. 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:**As a full-time employee of the company or as an hourly employee working more than 30 hours per week, you will be eligible to participate in the health, dental, vision, life insurance, and disability plan in accordance with the plan documents, which may be amended from time to time. You will be eligible for benefits on the first day of employment with the Company. In addition, you are eligible to participate in the Company 401(k) Plan after 30 days of employment, in accordance with the applicable plan terms. The Company provides 11 paid holidays and 12 weeks of Parental Leave. We also follow a “free time” PTO policy, allowing you the flexibility to take time needed for either sick time or vacation.*Fractal provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.*