{"id":3466007,"url":"https://alion.io/job/impact-com-machine-learning-ops-engineer","title":"Machine Learning Ops Engineer","company":{"id":5431,"name":"impact.com","domain":"impact.com","url":"https://alion.io/company/impact-com","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"B","score":78,"open_postings":24,"ghost_share":0,"stale_share":0.667,"repost_share":0,"time_to_fill_p50_days":75,"computed_at":"2026-11-01T06:10:25Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"middle","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Cape Town, South Africa"],"countries":["ZA"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":true,"technologies":[{"name":"CI/CD","optional":false},{"name":"Databricks","optional":false},{"name":"Docker","optional":false},{"name":"GCP","optional":false},{"name":"Git","optional":false},{"name":"Jenkins","optional":false},{"name":"Keras","optional":false},{"name":"Kubernetes","optional":false},{"name":"Machine Learning","optional":false},{"name":"PyTorch","optional":false},{"name":"TensorFlow","optional":false},{"name":"Terraform","optional":false}],"status":"live","first_seen_at":"2026-10-29T12:37:03Z","employer_posted_date":"2026-10-29","last_verified_at":"2026-11-02T04:04:45Z","board_verified":true,"closed_at":null,"days_open":3,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":3},"description":"Our Company:\nAt impact.com we are passionate about our people, our technology, and are obsessed with customer success. Working together enables us to grow rapidly, win, and serve the largest brands in the world. We use cutting edge technology to solve real-world problems for our clients and continue to pull ahead of the pack as the leading SaaS platform for businesses to automate their partnerships and grow their revenue like never before. We have an entrepreneurial spirit and a culture where ambition and curiosity is rewarded. If you are looking to join a team where your opinion is valued, your contributions are noticed, and enjoy working with fun and talented people from all over the world, then this is the place for you!\nimpact.com, the world’s leading partnership management platform, is transforming the way businesses manage and optimize all types of partnerships-including traditional rewards affiliates, influencers, commerce content publishers, B2B, and more. The company’s powerful, purpose-built platform makes it easy for businesses to create, manage, and scale an ecosystem of partnerships with the brands and communities that customers trust to make purchases, get information, and entertain themselves at home, at work, or on the go. To learn more about how impact.com’s technology platform and partnerships marketplace is driving revenue growth for global enterprise brands such as Walmart, Uber, Shopify, Lenovo, L’Oreal, Fanatics, and Levi’s, visitwww.impact.com. \nYour Role at impact.com:\nAs Machine Learning Ops Engineer you will own the production pipeline for all DS job, work closely with data science on new pipelines and create monitoring solutions around all aspects of pipeline, and more.\nExciting opportunity for someone with strong MLOps and Data Engineering experience. \nWhat You'll Do:\nOwn production pipeline for all DS jobs\nWork closely with data science on new pipelines\nCreate monitoring solutions around all aspects of pipeline\nScale solutions around data volumes, budget, SLAs, infrastructure\nCI/CD pipeline ownership\nHelp Architect necessary data handoffs to other squads\nDevelop and mentor best practices within Impact\nInterface with external systems to extract data\nOperate independently, research new technologies, champion solutions\nCollaborate cross squad to develop various data handoffs\nWhat You Have:\nMasters in Computer Science, Data Science preferred\n3+ years experience in developing and deploying machine learning models in a production environment.\n1+ year of experience in MLOps and Data engineering\nExperience in Databricks preferred\nExperience in all DS libraries \nGoogle Cloud environment certifications a plus\nCollaboration with squads, leadership role, \nExposure to deep learning approaches and modeling frameworks (PyTorch, Tensorflow, Keras, etc.)\nFamiliarity with DevOps practices and tools such as Kubernetes, Docker, Jenkins, Git\nStrong DevOps mentality: Knowledge of making a complicated pipeline simple and easy to maintain, with proven experience of Terraform/Spark\nContinuous Learner\nCloud / GCP experience\nBig Data experience\nHighly organized, proven ability to work on multiple projects at once\nProblem Solving\nBenefits:\nHybrid, Casual work environment\nResponsible PTO policy\nTake the time off that you need. We are truly committed to a positive work-life balance, recognising that it is important to be happy and fulfilled in both\nPrimary caregiver leave\nTraining & Development\nLearning the advanced partnership automation products\nMedical Aid and Provident Fund \nGroup schemes with Discovery & Bonitas for medical aid\nGroup scheme for provident fund\nRestricted Stock Units\n3-year vesting schedule pending Board approval\nInternet Allowance\nFitness club fee reimbursements\nTechnology stipend \nimpact.com is proud to be an equal opportunity workplace. All employees and applicants for employment shall be given fair treatment and equal employment opportunity regardless of their race, ethnicity or ancestry, color or caste, religion or belief, age, sex (including gender identity, gender reassignment, sexual orientation, pregnancy/maternity), national origin, weight, neurodivergence, disability, marital and civil partnership status, caregiving status, veteran status, genetic information, political affiliation, or other prohibited non-merit factors.","description_format":"text","description_chars":4330,"description_truncated":false,"requirements":{"experience_years_min":3,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"master","optional":false},"security_clearance":false,"languages":[]},"benefits":["Restricted stock units"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Influencer Marketing","Marketing Analytics & Attribution","Digital Marketing"],"lifecycle":[{"event":"open","at":"2026-10-29T15:34:01Z"}],"visa":[],"liveness":{"score":63,"band":"ok","label":"Likely open","p_open":1,"p_active":0.632,"p_room":1,"age_days":3,"expected_fill_days":74,"reasons":["conf:2","stale_co","velocity","win:early"],"computed_at":"2026-11-02T06:13:15Z"},"pay":null,"html_url":"https://alion.io/job/impact-com-machine-learning-ops-engineer","json_url":"https://alion.io/job/impact-com-machine-learning-ops-engineer.json","meta":{"generated_at":"2026-11-02T06:17:56Z","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":9062,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-03T00:00:00Z"}},"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":5431},"rest":"https://alion.io/mcp/rest/get_company?id=5431"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fimpact-com-machine-learning-ops-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%2Fimpact-com-machine-learning-ops-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%2Fimpact-com-machine-learning-ops-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/impact-com-machine-learning-ops-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fimpact-com-machine-learning-ops-engineer"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":3466007}},{"tool":"search_jobs","arguments":{"company":"impact.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":3466007},"note":"people open to offers who fit this vacancy"}],"note":"The same data through MCP tools: https://alion.io/mcp/open needs no sign-in (compact searches, postings, people); https://alion.io/mcp with an Alion account has everything. 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