{"id":1707556,"url":"https://alion.io/job/valeo-senior-discipline-engineer-2","title":"Senior Discipline Engineer","company":{"id":4446,"name":"Valeo","domain":"valeo.com","url":"https://alion.io/company/valeo","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":75,"open_postings":211,"ghost_share":0,"stale_share":0.991,"repost_share":0,"time_to_fill_p50_days":29,"computed_at":"2026-10-10T05:45:15Z"}},"role":"Industrial Engineering","role_family":"Industrial Engineering","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Chennai, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":13000,"max_usd":33000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":20},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"GCP","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false}],"status":"live","first_seen_at":"2026-04-24T00:00:00Z","employer_posted_date":"2026-04-24","last_verified_at":"2026-10-11T23:00:10Z","board_verified":true,"closed_at":null,"days_open":171,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":170},"description":"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.\nResponsibilities:\nCreate and maintain optimal data pipeline architecture\n\nAssist with assembling large, complex data sets that meet functional / non-functional\n\nbusiness requirements.\n\nIdentify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.\n\nBuild the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources and technologies eg. GCP.\n\nWork with and manage datasets both internal and external, with details of licensing,\n\nannotation format, classes/tasks, etc.\n\nWork 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.\n\nWork with data and analytics team to strive for greater functionality in our data systems.\n\nBuild, grow and retain talent, providing technical leadership and direction\n\nSupport for robust ML & CI /CD pipelines automation\n\nSkills:\nProgramming: Python, Pytorch\n\nMachine Learning: Classification, regression, clustering, CNNs and RNNs\n\nExperience building and optimizing ‘big data’ data pipelines, architectures and data sets\n\nManipulating, processing and extracting value from large disconnected datasets.\n\nWorking knowledge of message queuing, stream processing, and highly scalable ‘big data’ data stores.\n\nExperience in cloud Automation (GCP/Azure/AWS)\n\nExperience with use of software design patterns and data structures\n\nExpertise in python programming and good coding practices\n\nExcellent analysis & trouble-shooting skills using a structured documented approach\n\nExcellent communication skills, both written and verbal\n\nStrong experience in capitalising knowledge & best practices through creation and/or updating of standard\n\nStrong experience in training and mentoring team members\n\nConfident, articulate, self-motivated, determined & energetic\n\nSelf-starter, motivated individual who can work fully autonomously\n\nJob:\nEngineering DisciplinesOrganization:\nSoftwareSchedule:\nFull timeEmployee Status:\nRegularJob Type:\nPermanent contractJob Posting Date:\n2026-04-24Join Us !\nBeing part of our team, you will join:\n- one of the largest global innovative companies, with more than 20,000 engineers working in Research & Development\n- a multi-cultural environment that values diversity and international collaboration\n- more than 100,000 colleagues in 31 countries... which make a lot of opportunity for career growth\n- 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\nMore information on Valeo: https://www.valeo.com","description_format":"text","description_chars":3222,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Automotive Manufacturing","Automotive Components"],"lifecycle":[{"event":"open","at":"2026-10-02T15:21:03Z"}],"visa":[],"liveness":{"score":6,"band":"cold","label":"Long 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