Machine Intelligence Automation Consultant

Description

UiPath is shaping the future of work and creating the AI-powered digital workforce of tomorrow. Hundreds of enterprise customers and government agencies use our market-leading enterprise Robotic Process Automation (RPA) platform to rapidly build, deploy and manage software robots that free your teams from repetitive processes, boost productivity, ensure compliance, and enhance customer experience.

This Consultant Will Works Closely With The AI Team Of The Product Organization

We are looking for a Consultant for the Implementation of Machine Learning and Deep Learning embedded or integrated with UiPath RPA solutions.

to build RPA+AI applied showcases

to support customer AI projects with RPA beyond Intelligent OCR

to maintain re-usable AI showcases like building blocks

to prepare and conduct RPA and AI training for the Pre-Sales Engineers in RPA and AI

to work closely with product marketing and develop A1 Immersion Labs showcase assets.

This role is a pre-sales role which requires very good communication, project management and client expectation management skills. This role will also provide support to the marketing and sales organisation for public presentations and discussions.

Responsibilities

• Build Machine Learning based UiPath showcases for all focus areas from Computer Vision, Decision Making, Machine Reasoning, NLP and NLC
• Work closely aligned with the product AI PMs and developers
• Support customers in building bespoke machine learning models to embed and operate
• Support the integration of Machine Learning Technologies
• Manage, prepare and conduct AI trainings
  
  

Skills

• Strong Communication skills
• Experience in applying Machine Learning to business problems and managing stakeholder expectations
• Highly comfortable to discuss and data scientists from clients
• >5 yrs experience in analysing, data preparing, building machine or deep learning models and applying them to business processes
• Experience in Phyton, DL4J, Kerras and creating the Machine Learning Notebooks
• Hands-on Experience in Tensorflow, Amazon SageMaker, AzureML, Google Cloud Platform and ready-to-use libraries and tools like Rapidminer, Knime, DataRobot, etc.
• In-depth understanding of data modelling and deep learning model implementation
• Experience in realising data science-based solutions with data scientists, data engineers and programmers
• Experience in Data Science for consulting projects
• Fluency in English