Accelerate Human Achievement: that is UiPath's purpose. We are the leader in Robotic Process Automation (RPA) and the highest-valued AI enterprise software company in the world. With over $568 million in funding from top venture capital firms like Accel, CapitalG, Kleiner Perkins, Sequoia, IVP, Madrona Venture Group, Meritech Capital & Coatue, we are on an unprecedented trajectory of growth. With this funding, we have an incredible opportunity to improve the way people work globally.
Our award-winning company culture values humility, and leaders who know how to listen. CEO Daniel Dines’ primary goal was to build a company where he would love to work, and even now, with thousands of employees in tens of countries, that remains our top priority.
We trust and empower our colleagues, and together we make sure we have everything we need to do our best work, from the support of strong leaders to awesome perks and benefits.
Here's what you will be doing at UiPath
- As a Data Engineer, you will be responsible for building and maintaining the infrastructure for big data and AI lifecycle.
- You will also be responsible for maintaining the algorithms developed by our data scientists and using a myriad of tools for production readiness of AI models.
- You will be working on a cross-functional team of Product Managers, devops engineers, machine learning engineers, and software engineers for high impact shipping.
- Being a part of hyper growth startup, you are not afraid of getting your hands dirty and are expected to be a jack of all trades for all steps in the ML lifecycle right from tagging, featurization, training and benchmarking to experimentation, monitoring and analytics.
- Design and build large scale data ingestion, storage and processing platform.
- Build and maintain platform to for the complete machine learning lifecycle.
What you will bring
- Overall 4+ years of experience in IT industry with 1+ years working on products built to handle big data in both cloud and on-prem settings.
- Experience of working on both SQL & No-SQL databases.
- Experience with object-oriented design, coding and testing patterns as well as experience in engineering (commercial or open source) software platforms and large-scale data infrastructures.
- Experience with big data technologies like Hadoop, Spark & Kafka.
- Experience in Python, data processing and parsing.
- Experience of building platforms in cloud using AWS, Azure or GCP.
- Experience in offline batch processing and/or online real-time stream processing systems.
- Knowledge of Machine Learning and Interested in working across our entire data science stack including model building, data pipelining, and performance/scale analysis.
We must have caught your attention if you've read so far, so we should talk.**
At UiPath, 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 race, color, religion, sex, sexual orientation, gender identity and expression, national origin, disability, military and/or veteran status, or any other protected classes.
At UiPath, 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 race, color, religion, sex, sexual orientation, gender identity and expression, national origin, disability, military and/or veteran status, or any other protected classes.