Senior Discipline Engineer

Valeo · Chennai

  • Experience5–8 yrs
  • SalaryNot disclosed
  • RoleData Engineer
  • Work modeonsite
  • Levelsenior
  • Posted13 Oct 2026
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About Valeo

Valeo is hiring in Chennai in automotive mobility. This role looks for around 5+ years of experience.

Skills

  • Python
  • PyTorch
  • GCP
  • Azure
  • AWS
  • Classification
  • Regression
  • Clustering
  • CNNs
  • RNNs
  • Message queuing
  • Stream processing
  • Big data
  • Software design patterns
  • Data structures
  • CI/CD

The role

Builds data engineering and machine-learning systems for an automotive mobility company. Designs scalable data pipelines and infrastructure, assembles complex datasets, and automates ML and CI/CD pipelines using Python, GCP, and PyTorch. Applies Classification and regression while providing technical direction and mentoring.

Full job description

Responsibilities

Create and maintain optimal data pipeline architectureAssist with assembling large, complex data sets that meet functional / non-functional business requirements.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 directionSupport for robust ML & CI /CD pipelines automation

Skills

Programming: Python, PytorchMachine Learning: Classification, regression, clustering, CNNs and RNNsExperience building and optimizing ‘big data’ data pipelines, architectures and data setsManipulating, 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 structuresExpertise in python programming and good coding practicesExcellent analysis & trouble-shooting skills using a structured documented approachExcellent communication skills, both written and verbalStrong experience in capitalising knowledge & best practices through creation and/or updating of standardStrong experience in training and mentoring team membersConfident, articulate, self-motivated, determined & energeticSelf-starter, motivated individual who can work fully autonomously