{"id":2853645,"url":"https://alion.io/job/zebra-technologies-ml-ops-engineer-2","title":"ML Ops Engineer","company":{"id":58915,"name":"Zebra Technologies","domain":"zebra.com","url":"https://alion.io/company/zebra-technologies","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":81,"open_postings":31,"ghost_share":0,"stale_share":0.742,"repost_share":0,"time_to_fill_p50_days":29,"computed_at":"2026-10-21T05:46:15Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bengaluru, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":22000,"max_usd":44000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":38},"experience_years_min":6,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"CI/CD","optional":false},{"name":"Machine Learning","optional":false}],"status":"live","first_seen_at":"2026-09-22T00:00:00Z","employer_posted_date":"2026-09-22","last_verified_at":"2026-10-21T07:00:42Z","board_verified":true,"closed_at":null,"days_open":29,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":29},"description":"Overview:\nAt Zebra, we are a community of innovators who come together to create new ways of working. United by curiosity and a culture of caring, we develop smart solutions that anticipate our customer’s and partner’s needs and solve their challenges.\nBeing part of Zebra Nation means you are seen, heard, valued, and respected. Drawing from our unique perspectives, we collaborate to deliver on our purpose. Here you are part of a team pushing boundaries today to redefine the work of tomorrow for organizations, their employees, and those they serve.\nYou’ll have opportunities to learn and lead in a forward-thinking environment, defining your path to a fulfilling career while channeling your skills toward causes you care about-locally and globally.\nCome make an impact every day at Zebra.\nWhat We're Looking For:\nAnalyzes, designs, develops, and maintains software solutions for the organization’s products and systems. Leads system integration of software and hardware to ensure consistent performance and program reliability. Develops, validates, and tests software functionality and user documentation. Work is evaluated upon completion to ensure objectives and quality standards are met. Determines and develops innovative approaches to solve complex problems, leveraging technical expertise and industry best practices.Essential Duties and Responsibilities:\nDesign, build, and scale core ML infrastructure across heterogeneous compute (CPU/GPU), distributed storage, and networking resources.\nDevelop and maintain end-to-end CI/CD automation pipelines for continuous machine learning model training, evaluation, packaging, and edge/cloud deployment.\nImplement comprehensive monitoring and alerting solutions to track real-time model performance, detect data/concept drift, and ensure sustained inference accuracy.\nAutomate the end-to-end model life cycle to streamline transitions from experimentation to high-availability production environments.\nDrive operational maturity and system reliability to increase deployment velocity and support rapidly expanding AI/ML workloads.\nMaintain and Version the huge image/Video data at on prem tool/clouds.\nManage Models artifacts at model registry(in house or open tool).\nBenchmark the Model across the models' versions and platforms. \nJob Requirements:\nBachelors Degree or Advanced Degree in Computer Science, Software Engineering, or a related engineering discipline\n6+ years of relevant software engineering experience. 3+ years of experience with an Advanced Degree\nEquivalency: Equivalent work experience will be considered in lieu of a degree Key Skills and Competencies:\nDesign, build, and scale core ML infrastructure across heterogeneous compute (CPU/GPU), distributed storage, and networking resources.\nDevelop and maintain end-to-end CI/CD automation pipelines for continuous machine learning model training, evaluation, packaging, and edge/cloud deployment.\nImplement comprehensive monitoring and alerting solutions to track real-time model performance, detect data/concept drift, and ensure sustained inference accuracy.\nAutomate the end-to-end model life cycle to streamline transitions from experimentation to high-availability production environments.\nDrive operational maturity and system reliability to increase deployment velocity and support rapidly expanding AI/ML workloads.\nMaintain and Version the huge image/Video data at on prem tool/clouds.\nManage Models artifacts at model registry(in house or open tool).\nBenchmark the Model across the models' versions and platforms. \nBenefits:\nWe understand the importance of work-life balance and wellbeing, which is why we offer flexibility for our teams including: hybrid work, adaptable hours, Summer Flex Fridays, Focus Fridays, and an annual companywide well-being day to promote revitalization and success.\nJob Posting Statement:\nTo protect candidates from falling victim to online fraudulent activity involving fake job postings and employment offers, please be aware our recruiters will always connect with you via @zebra.com email accounts. Applications are only accepted through our applicant tracking system and only accept personal identifying information through that system. Our Talent Acquisition team will not ask for you to provide personal identifying information via e-mail or outside of the system. If you are a victim of identity theft contact your local police department.\nAI Technology Statement:\nZebra Technologies leverages AI technology to evaluate job applications using objective, job-relevant criteria. This approach enhances efficiency and promotes fairness in the hiring process. However, every decision regarding interviews and hiring is made by our dedicated team, because we believe people make the best decisions about people. For more on how we use technology in hiring and how we process applicant data, see our Zebra Privacy Policy.","description_format":"text","description_chars":4888,"description_truncated":false,"requirements":{"experience_years_min":6,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":["Hybrid work"],"hiring_locations":[{"name":"India","iso":"IN","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Printers & Scanners","Barcode & RFID Hardware"],"lifecycle":[{"event":"open","at":"2026-10-19T14:06:23Z"}],"visa":[],"liveness":{"score":30,"band":"fade","label":"Fading","p_open":1,"p_active":0.546,"p_room":0.55,"age_days":29,"expected_fill_days":29,"reasons":["conf:3","stale_co","velocity","win:tail","comp:brand"],"computed_at":"2026-10-21T05:46:15Z"},"pay":null,"html_url":"https://alion.io/job/zebra-technologies-ml-ops-engineer-2","json_url":"https://alion.io/job/zebra-technologies-ml-ops-engineer-2.json","meta":{"generated_at":"2026-10-21T12:28:15Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":17634,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-22T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":58915},"rest":"https://alion.io/mcp/rest/get_company?id=58915"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fzebra-technologies-ml-ops-engineer-2"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fzebra-technologies-ml-ops-engineer-2"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fzebra-technologies-ml-ops-engineer-2"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/zebra-technologies-ml-ops-engineer-2\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fzebra-technologies-ml-ops-engineer-2"}]}