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You will be updated with latest job alerts via emailThe people at UiPath believe in the transformative power of automation to change how the world works. Were committed to creating categoryleading enterprise software that unleashes that power.
To make that happen we need people who are curious selfpropelled generous and genuine. People who love being part of a fastmoving fastthinking growth company. And people who careabout each other about UiPath and about our larger purpose.
Could that be you
This role leads the development of UiPaths machine learning infrastructure focusing on ML Ops evaluation frameworks and the AI trust layer. You will spearhead initiatives to allow developers to bring their own models telemetry and ecosystem artifacts to UiPath. You will build and ship developerfacing platform features and ensure our AI services are scalable reliable and easily integrated by both internal teams and external customers. The position demands a balance of strategic vision and handson execution delivering the ML infrastructure that powers AIdriven automation at enterprise scale and upholds trust and performance standards.
#LIMH1
Own the endtoend strategy and execution of ML infrastructure projects including MLOps pipelines model deployment processes and governance tools for managing AI models.
Develop and implement robust evaluation frameworks and success metrics for machine learning models to ensure high performance reliability and fairness.
Lead crossfunctional efforts for initiatives such as Bring Your Own Model enabling customers and partners to integrate their ML models into the UiPath platform securely and efficiently.
Build and refine the trust layer for AI services incorporating features like model monitoring version control auditability and compliance checks to meet enterprise standards.
Collaborate with internal platform teams and externalfacing developer teams to ensure seamless integration of AI infrastructure with UiPaths automation products and developer workflows.
Stay uptodate with the latest AI/ML tools and frameworks across the stack (pytorch huggingface LangChain LlamaIndex CrewAI etc.) guiding the adoption of technologies that improve scalability performance and developer experience.
Define and track success metrics for deployed models and infrastructure (e.g. uptime latency accuracy usage) using this data to drive continuous improvements.
Act as a thought leader in ML Ops and infrastructure mentoring engineering teams and evangelizing best practices for scalable AIdriven automation.
10 years of experience in product management with deep expertise in machine learning infrastructure platforms or related enterprise AI products.
Strong background in MLOps and productionscale ML systems handson experience with model deployment pipeline automation and lifecycle management of ML models.
Proficient in modern ML tools and cloud frameworks (e.g. TensorFlow PyTorch Docker/Kubernetes MLflow Kubeflow) with the ability to make informed decisions on technology and architecture.
Demonstrated experience shipping developerfocused products or platforms especially those involving AI/ML capabilities for enterprise customers.
Solid understanding of model evaluation techniques A/B testing monitoring and building trust in AI systems (e.g. explainability security compliance for ML models).
Proven track record of balancing complex infrastructure needs with clear business impact ensuring that technical investments translate into customer value.
Exceptional leadership and communication skills capable of driving technical teams and influencing stakeholders across engineering data science and business units.
Passion for AIdriven automation and a vision for how cuttingedge ML infrastructure can transform enterprise workflows through the UiPath platform.
Maybe you dont tick all the boxes abovebut still think youd be great for the job Go ahead apply anyway. Please. Because we know that experience comes in all shapes and sizesand passion cant be learned.
Many of our roles allow for flexibility in when and where work gets done. Depending on the needs of the business and the role the number of hybrid officebased and remote workers will vary from team to team. Applications are assessed on a rolling basis and there is no fixed deadline for this requisition. The application window may change depending on the volume of applications received or may close immediately if a qualified candidate is selected.
We value a range of diverse backgrounds experiences and ideas. We pride ourselves on our diversity and inclusive workplace that provides equal opportunities to all persons regardless of age race color religion sex sexual orientation gender identity and expression national origin disability neurodiversity military and/or veteran status or any other protected classes. Additionally UiPath provides reasonable accommodations for candidates on request and respects applicants privacy rights. To review these and other legal disclosures visit our .
Required Experience:
Staff IC
Full-Time