Senior Data Pipeline and Machine Learning Engineer

Senior Discipline Engineer Valeo is a tech global company, designing breakthrough solutions to reinvent the mobility. We are an automotive supplier partner to automakers and new mobility actors worldwide. Our vision? Invent a greener and more secured mobility, thanks to solutions focusing on intuitive driving and reducing CO2 emissions. We are leader on our businesses, and recognized as one of the largest global innovative companies.

: Create and maintain optimal data pipeline architecture Assist with assembling large, complex data sets that meet functional / non-functional business

. Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc. Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources and technologies eg. GCP. Work with and manage datasets both internal and external, with details of licensing, annotation format, classes/tasks, etc. Work with stakeholders including the Function owner, architects, Leads, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs. Work with data and analytics team to strive for greater functionality in our data systems. Build, grow and retain talent, providing technical leadership and direction Support for robust ML & CI /CD pipelines automation Skills: Programming: Python, Pytorch Machine Learning: Classification, regression, clustering, CNNs and RNNs Experience building and optimizing ‘big data’ data pipelines, architectures and data sets Manipulating, processing and extracting value from large disconnected datasets. Working knowledge of message queuing, stream processing, and highly scalable ‘big data’ data stores. Experience in cloud Automation (GCP/Azure/AWS) Experience with use of software design patterns and data structures Expertise in python programming and good coding practices Excellent analysis & trouble-shooting skills using a structured documented approach Excellent communication skills, both written and verbal Strong experience in capitalising knowledge & best practices through creation and/or updating of standard Strong experience in training and mentoring team members Confident, articulate, self-motivated, determined & energetic Self-starter, motivated individual who can work fully autonomously Job: Engineering Disciplines Organization: Software Schedule: Full time Employee Status: Regular Job Type: Permanent contract Job Posting Date: 2026-04-24 Join Us ! Being part of our team, you will join: - one of the largest global innovative companies, with more than 20,000 engineers working in Research & Development - a multi-cultural environment that values diversity and international collaboration - more than 100,000 colleagues in 31 countries... which make a lot of opportunity for career growth - a business highly committed to limiting the environmental impact if its activities and ranked by Corporate Knights as the number one company in the automotive sector in terms of sustainable development More information on Valeo: https://www.valeo.com Experience Level Senior Level