Leads the development of enterprise Machine Learning and MLOps products, managing the MLOps lifecycle and ensuring business needs are met with a robust and scalable platform. Requires strong product management, technical, and leadership skills.
Key Highlights
Key Responsibilities
Technical Skills Required
Benefits & Perks
Nice to Have
Job Description
Senior Product Manager – Machine Learning
Up to 50k AED p/month + benefits (Bonus, air tickets and visa/medical for self & family)
Abu Dhabi (relocation assistance provided)
We are seeking a visionary Senior Product Manager to join a leading organisation in Abu Dhabi to spearhead their enterprise Machine Learning and MLOps evolution.
Discover the opportunity
This is a rare high impact chance to build a sophisticated MLOps platform from the ground up starting with vendor selection and driving the project through to full scale completion.
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You will hold the keys to the entire MLOps lifecycle across the organisation ensuring the business possesses a powerhouse platform that is both robust and infinitely scalable. This role sits at the high stakes intersection of business strategy and technical brilliance where you will translate complex enterprise needs into a world class ML product strategy.
Discover the role
As the Senior Product Manager for ML Ops you will be the architect of a centralised modeling platform that empowers Data Science teams to develop deploy and monitor models with unprecedented speed and safety. You will define the target operating model and prioritize cutting edge platform capabilities that deliver massive business value and meet rigorous regulatory standards.
You will act as the primary bridge between elite Data Science squads and risk departments serving as the go to expert on model governance and operational excellence. This is a strategic leadership position requiring a sharp mind to balance platform innovation with the immediate demands of a diverse portfolio of AI projects.
Discover the requirements
- Extensive experience in product and platform management with a proven track record of delivering at scale
- Deep expertise in managing ML and MLOps products as your core discipline
- Proven track record of owning end to end platforms or shared services within highly regulated environments
- Strong understanding of ML concepts and MLOps principles across the entire development lifecycle
- Expert knowledge of Agile methodologies with certifications such as CSPO or SAFe preferred
- Elite communication skills with the ability to influence C suite stakeholders and simplify complex technical roadmaps
- Natural leadership ability to manage teams and drive a culture of quality
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If you are a Product Manager with the technical depth to build an ML practice from scratch and the strategic influence to lead an enterprise transformation, this is your next challenge.
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