MOSE Model Validation Lead IoT Analytics

Key Skills

Agile methodologies, Data science techniques, Design, KPIs, Machine learning techniques, Post silicon validation, Statistics, Writing

Job Description

Model validation is the process where a trained model or a developed algorithm are evaluated with test data to judge the fitness and accuracy of the model output. In this role you will be developing a broad capability to validate our models based on test data sets. Test data needs to be collected and created from various sources including laboratories, field data, or synthetic simulations. You will be the interface between model development and product development, and you will be responsible for overseeing the validation process and judging when individual models will be accurate enough to be released for our product development process. Also, you will make sure that the accuracy of our models will increase constantly and secure leadership in our field. This role is open globally, but location is set in ABB Offices in Finland, Poland or India.

This position reports to

R&D Manager Analytics

Your responsibilities

• Leading automation and validation activities that are required for releasing high-quality offerings
• Defining metrics for model and algorithm evaluation Creating product validation test plans and managing their execution
• Defining the validation principles and process build up the necessary capabilities based on existing and future data, including building own and using existing labs
• Identify the needs for test data and develop required capabilities for obtaining the data
• Implementing the metrics and processes, coaching engineers with automation test design and writing, procedures, and methodologies
• Validating new models and algorithms and release them for product development if required metrics are achieved

Your background

• Bachelor or higher degree in Computer Engineering, Computer or Data Science, Electrical Engineering or Mechanical Engineering
• 5+ years of experience in leading automation/validation processes or teams
• English professional working proficiency
• Expert in statistical and experimental validation of ML models and algorithms
• Experience in mid- to large scale physical model validation
• Formal and practical knowledge of system testing methodologies and validating KPIs

More about us

ABB Motion Services serve customers around the globe with innovative services to maximize performance, uptime and energy efficiency throughout the lifetime of electrical motion solutions. Electrical motion is applied everywhere in industries, cities, infrastructure and transportation and is a cornerstone of the energy revolution. Our people and culture are the foundation of our success. We drive innovations through digitalization and make the difference for our customers and partners every day. ABB Motion keeps the world turning, while saving energy every day. We look forward to receiving your application (documents submitted in English are appreciated). If you want to discover more about ABB, take another look at our website www.abb.com.