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$140k–$205k/yr
Full-time
bachelor degree, postgraduate degree
Health Insurance, Dental Insurance, Vision Insurance, Life Insurance, Disability Plan, 401(k) Plan
Posted 28d ago
Apply by Aug 31
~40 hrs/week
Remote in New York, New York, United States
Responsibilities
Lead the AI@Scale practice by architecting and executing MLOps technology projects and designing scalable AI solutions for clients. Responsible for driving technical leadership in model deployment, monitoring, and the integration of GenAI into strategic business decisions.
Requirements
Requires over 15 years of experience in engineering and data science with deep expertise in building production-grade ML pipelines and LLM solutions. Must possess strong client-facing skills for CXO engagement and a technical degree in Computer Science or a related field.
Full job description
It'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.
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 engineeringusing 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 appropriatescalable 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.
If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!
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Fractal is a publicly listed global enterprise AI company with a vision to power every human decision in the enterprise. With a workforce of over 5,000 professionals across North America, EMEA, and Asia-Pacific, Fractal partners with Fortune 500® companies to embed AI into critical business decisions across growth, supply chains, pricing, and customer experience.
Committed to sustained innovation, Fractal invests more than 5% of its annual revenue in AI research and development, supporting foundational AI research, product development, and IP creation that address both immediate client needs and long-term technological advancement.
For more information, visit https://fractal.ai/?utm_source=linkedin&utm_medium=coverpic&utm_campaign=socialmedia
Offices: Suite 76J, One World Trade Center, New York, US · Oberoi Garden City, Western Express Highway, Level 7, Commerz II, International Business Park, Mumbai, Maharashtra 400 063, IN · Palo Alto, Playground, 380 Portage Avenue, Palo Alto, CA, Santa Clara County, California, 94306, US · 11911 NE 1st St, Suite 206, Bellevue, Washington 98005, US · WeWork, office number 06-103, 5 Merchant Square,, London, W2 1AY, GB
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