{"id":681659,"url":"https://alion.io/job/nift-ml-ops-engineer","title":"ML Ops Engineer","company":{"id":1038938,"name":"Gonift","domain":"gonift.com","url":"https://alion.io/company/gonift","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":83,"open_postings":3,"ghost_share":0,"stale_share":0.667,"repost_share":0,"time_to_fill_p50_days":56,"computed_at":"2026-11-04T06:34:25Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":null,"work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Israel"],"countries":["IL"],"hiring_countries":["IL"],"hiring_countries_total":1,"salary":null,"salary_estimate":{"min_usd":92000,"max_usd":240000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":2365},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Amazon ECS","optional":false},{"name":"Amazon EKS","optional":false},{"name":"Amazon SageMaker","optional":false},{"name":"Apache Kafka","optional":false},{"name":"AWS","optional":false},{"name":"CI/CD","optional":false},{"name":"CloudFormation","optional":false},{"name":"Dask","optional":false},{"name":"Databricks","optional":false},{"name":"Docker","optional":false},{"name":"Feature Store","optional":false},{"name":"Kubernetes","optional":false},{"name":"MLFlow","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"Slack","optional":false},{"name":"Spark","optional":false},{"name":"Terraform","optional":false}],"status":"live","first_seen_at":"2026-09-10T13:19:25Z","employer_posted_date":"2026-09-10","last_verified_at":"2026-11-04T16:25:59Z","board_verified":true,"closed_at":null,"days_open":55,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":55},"description":"Nift is disrupting performance marketing, delivering millions of new customers to brands every month. We’re looking for a hands-on ML Ops Engineer to partner with our data scientists to turn their models into production-ready systems.\nIn this role, you’ll report to the Data Science Manager and work closely with our Data Scientists and Product developers. You’ll architect storage and compute, harden training/inference pipelines, and make our ML code, data workflows, and services reliable, reproducible, observable, and cost-efficient. You’ll also set best practices and help scale our platform as Nift grows. \nOur Mission: \nNift’s mission is to reshape how people discover and try new brands by introducing them to new products and services through thoughtful \"thank-you\" gifts. Our customer-first approach ensures businesses acquire new customers efficiently while making customers feel valued and rewarded. We are a data-driven, cash-flow-positive company that has experienced 731% growth over the last three years. Now, we’re scaling to become one of the largest sources for new customer acquisition worldwide. \nBacked by Spark Capital &Foundry who also invested in Slack, Snap, SeatGeek, Fitbit, Warby Parker, Wayfair and Twitter, we are poised for exponential growth and ready to demonstrate impact on a global scale. Read more about our growthhere.\nWhat you will do:\nML platform: Productionize training and inference (batch/real-time), establish CI/CD for models, data/versioning practices, and model governance\nFeature & model lifecycle: Centralize feature generation (e.g., feature store patterns), manage model registry/metadata, and streamline deployment workflows\nObservability & quality: Implement monitoring for data quality, drift, model performance/latency, and pipeline health with clear alerting and dashboards\nEngineering excellence: Refactor research code into reusable components, enforce repo structure, testing, logging, and reproducibility\nCross-functional collaboration: Work with DS/Analytics/Engineers to turn prototypes into production systems, provide mentorship and technical guidance\nRoadmap & standards: Drive the technical vision for ML platform capabilities and establish architectural patterns that become team standards\nWhat you need:\nExperience: 5+ years in ML Ops, including ownership of ML infrastructure for large-scale systems\nSoftware engineering strength: Strong coding, debugging, performance analysis, testing, and CI/CD discipline; reproducible builds. Extensive commercial experience with Python developing automated pipelines bringing ML models to production\nCloud & containers: Production experience on AWS, DataBricks, Docker + Kubernetes (EKS/ECS or equivalent)\nIaC: Terraform or CloudFormation for managed, reviewable environments\nML tooling: MLflow/SageMaker (or similar) with a track record of production ML pipelines\nMonitoring/observability: ML monitoring (quality, drift, performance) and pipeline alerting\nCollaboration: Excellent communication, comfortable working with data scientists, analysts, and engineers in a fast-paced startup\nPySpark/Glue/Dask/Kafka: Experience with large-scale batch/stream processing\nAnalytics platforms: Experience integrating 3rd party data\nModel serving patterns: Familiarity with real-time endpoints, batch scoring, and feature stores\nGovernance & security: Exposure to model governance/compliance and secure ML operations\nBe mission-oriented: Proactive and self-driven with a strong sense of initiative; takes ownership, goes beyond expectations, and does what's needed to get the job done\nWhat you get: \nCompetitive compensation, flexible remote work\nUnlimited Responsible PTO\nGreat opportunity to join a growing, cash-flow-positive company while having a direct impact on Nift's revenue, growth, scale, and future success","description_format":"text","description_chars":3818,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[{"name":"Israel","iso":"IL","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Artificial Intelligence","Commerce","Gift Cards & Loyalty Programs"],"lifecycle":[{"event":"open","at":"2026-09-10T23:38:27Z"}],"visa":[],"liveness":{"score":62,"band":"ok","label":"Likely open","p_open":1,"p_active":0.83,"p_room":0.75,"age_days":54,"expected_fill_days":56,"reasons":["conf:4","win:late"],"computed_at":"2026-11-04T06:34:25Z"},"pay":null,"html_url":"https://alion.io/job/nift-ml-ops-engineer","json_url":"https://alion.io/job/nift-ml-ops-engineer.json","meta":{"generated_at":"2026-11-04T18:45:20Z","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":28865,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-05T00:00:00Z"}},"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":1038938},"rest":"https://alion.io/mcp/rest/get_company?id=1038938"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fnift-ml-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%2Fnift-ml-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%2Fnift-ml-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/nift-ml-ops-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fnift-ml-ops-engineer"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":681659}},{"tool":"search_jobs","arguments":{"company":"gonift.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":681659},"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. Docs: https://alion.io/developers"}}