data
Posted Mar 6Machine Learning Engineer
at UiPath
Jaipur, IndiaOn-site
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Requirements
- LIFE AT UIPATH The people at UiPath believe in the transformative power of automation to change how the world works.
- Could that be you? YOUR MISSION The ML Engineer role at Peak helps ensure our applications operate at the cutting edge of AI and can solve our customers’ most challenging problems.
- WHAT YOU'LL DO AT UIPATH You will work as part of a team to design, build, maintain, and implement our AI applications and AI tooling.
- You'll bring strong enthusiasm for all things machine learning and data related, as well as keen interest in long-term advancement of your data and machine learning knowledge, software skills and product development practices.
- Your work will require you to be equally comfortable in actively collaborating with other ML Engineers, Product Managers and other stakeholders, as well as in carrying out independent technical research tasks.
- You'll be excited by the prospect of building amazing machine-learning powered software products for our customers to love and depend on.
- Experience in one or more areas of machine learning, artificial intelligence, statistics, optimisation, operations research, Generative AI, or other highly numerate domains. - Developed scientific software as part of a multidisciplinary team.
- Familiarity with engineering best practices, including CI/CD, unit and integration testing, peer code reviews, and modular code design - Previous
- experience with Python - Exposure to any of the major cloud platforms, including AWS, Microsoft Azure or GCP. - Worked with common database technologies, including good SQL knowledge and/or
- experience working other NoSQL or big data technologies. -
- Experience designing and/or building customer-centric software products.
Experience
- WHAT YOU'LL BRING TO THE TEAM - 4+ years of experience. -
Additional details
- We’re committed to creating category-leading enterprise software that unleashes that power.
- To make that happen, we need people who are curious, self-propelled, generous, and genuine.