{"id":2800914,"url":"https://alion.io/job/kohls-senior-mlops-engineer","title":"Senior MLOps Engineer","company":{"id":1753416,"name":"Kohl’s","domain":"kohls.com","url":"https://alion.io/company/kohls-com","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"inferred_payroll_markers","remote_working_hours":null,"hiring_geo_confidence":"inferred","locations":[],"countries":[],"hiring_countries":["US"],"hiring_countries_total":1,"salary":null,"salary_estimate":{"min_usd":107000,"max_usd":236000,"period":"year","method":"global_role_seniority_cell","sample_n":2102},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"AI 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Specific InformationJob Description\nAbout the Role\nAs Senior MLOps Engineer, you will focus on supporting cross-functional teams in designing, deploying, and operating machine learning solutions while building scalable infrastructure, tools, and best practices across the Machine Learning Engineering (MLE) ecosystem.\nWhat You’ll Do\nCollaborate with Data Scientists and Engineers across the full ML lifecycle, including building and scaling ETL pipelines, deploying models into customer-facing applications, and enabling efficient model development through cloud infrastructure and tooling\n\nDesign, build, and maintain scalable machine learning infrastructure, including model serving (real-time and batch), training environments, and orchestration systems, with a focus on performance, scalability, and cost efficiency\n\nContribute to the roadmap for Machine Learning Engineering and Data Science tools, including developing reusable frameworks and standardized solutions to streamline model implementation\n\nPartner with and support Data Scientists by enabling effective use of cloud-based tools and infrastructure, and providing technical expertise across the ML lifecycle\n\nCollaborate with machine learning engineers to share knowledge, improve best practices, and foster a culture of continuous learning and development\n\nSupport development and maintain monitoring, alerting, and automated testing frameworks to ensure the reliability, performance, and integrity of data pipelines, models, and infrastructure\n\nDevelop, document, and communicate implementations and best practices across the data science lifecycle\n\nManage and communicate cloud infrastructure costs and budgets to project stakeholders\n\nStay current with GCP services and evolving best practices in Machine Learning Engineering and MLOps\n\nAdditional tasks may be assigned\n\nWhat Skills You Have\nRequired\n\nExperience in MLOps or DevOps practices, including building and operating production ML systems using Docker, Kubernetes, CI/CD pipelines, Git-based version control, API development, model serving (batch and real-time), and automated testing frameworks\n\nBachelor’s degree in Data Science, Computer Science, Statistics, Applied Mathematics or equivalent quantitative field\n\nExperience working with Data Scientists to deploy, scale, and operationalize machine learning models in production environments\n\n3+ years of experience as a Machine Learning Engineer with a proven track record of successful project delivery\n\nIn-depth knowledge of cloud platform, preferably Google Cloud Platform services, particularly Vertex AI, BigQuery and Dataproc.\n\nExtensive expertise with CI/CD and \n\nIaC best practices\n\nExtensive knowledge of distributed computing and big data technologies like Spark, Kubeflow, Airflow and SQL\n\nExtensive expertise in Python and machine learning libraries (e.g., TensorFlow, PyTorch, scikit-learn)\n\nExperience working in Agile environments with an emphasis on iterative development and continuous delivery\n\nPreferred\nMaster’s Degree \n\nProficiency in Java or other languages\n\nRetail experience\n\nE-commerce experience\n\n5+ years of experience in Machine Learning\n\nExperience with optimization techniques and tools (e.g., Gurobi, linear programming, mixed-integer programming)\n\nExperience working with agent based or agentic AI systems, including orchestration of autonomous workflows or LLM-driven agents\n\nEssential FunctionsThe requirements listed below are representative of functions you will be required to perform, however you may be required to perform additional functions. Kohl’s may revise this job description from time to time. To perform this job successfully, you must be able to perform each essential function satisfactorily. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions, absent undue hardship.\n\nAbility to perform the accountabilities listed in the “What You’ll Do” Section\n\nAbility to maintain prompt and regular attendance as set by the company \n\nAbility to work at least 8 hours per day, occasionally longer when necessary to meet business needs, 5 days per week\n\nAbility to comply with dress code requirements\n\nAbility to learn and comply with all company policies, procedures, standards and guidelines\n\nAbility to give direction and receive, understand and proactively respond to direction from leadership and other company personnel\n\nAbility to work as part of a team and interact effectively and appropriately with others\n\nAbility to maintain composure and work in a fast paced environment while accomplishing multiple tasks within established timeframes\n\nAbility to satisfactorily complete company training programs\n\nPerform work in accordance with the Physical/Cognitive Requirements section\n\nPhysical/Cognitive Requirements \nAbility to use a personal computer for tasks such as communicating, preparing reports, etc.\n\nAbility to plan, prioritize and monitor activities across business units\n\nAbility to complete or oversee the completion of assigned projects in a timely manner\n\nAbility to comply with health and safety standards\n\nOriginally posted on Himalayas","description_format":"text","description_chars":5145,"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":["Continuous learning"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":[],"lifecycle":[{"event":"open","at":"2026-10-18T02:28:45Z"}],"visa":[],"liveness":{"score":86,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.86,"p_room":1,"age_days":0,"expected_fill_days":20,"reasons":["seen:0","win:early"],"computed_at":"2026-10-18T07:05:19Z"},"pay":null,"html_url":"https://alion.io/job/kohls-senior-mlops-engineer","json_url":"https://alion.io/job/kohls-senior-mlops-engineer.json","meta":{"generated_at":"2026-10-18T07:05:19Z","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":10561,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-19T00:00:00Z"}},"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":1753416},"rest":"https://alion.io/mcp/rest/get_company?id=1753416"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fkohls-senior-mlops-engineer"},{"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%2Fkohls-senior-mlops-engineer"},{"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%2Fkohls-senior-mlops-engineer"},{"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/kohls-senior-mlops-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fkohls-senior-mlops-engineer"}]}