{"id":191166,"url":"https://alion.io/job/confido-senior-ml-ops-engineer-2","title":"Senior ML Ops Engineer","company":{"id":846,"name":"Confido","domain":"confidotech.com","url":"https://alion.io/company/confido","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":{"grade":"B","score":71,"open_postings":28,"ghost_share":0.571,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":7,"computed_at":"2026-10-23T05:54:15Z"}},"role":"AI/ML","role_family":"AI/ML","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":["New York, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":210000,"max":300000,"currency":"USD","period":"year","gross":null,"usd_annual":300000},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"CI/CD","optional":false},{"name":"Human-in-the-Loop","optional":false},{"name":"Java","optional":false},{"name":"LLM","optional":false},{"name":"Platform Engineering","optional":false},{"name":"Python","optional":false},{"name":"Ruby","optional":false},{"name":"VLM","optional":false},{"name":"Amazon Aurora","optional":true},{"name":"Amazon SageMaker","optional":true},{"name":"Apache Kafka","optional":true},{"name":"AWS","optional":true},{"name":"AWS Bedrock","optional":true},{"name":"BentoML","optional":true},{"name":"GitHub Actions","optional":true},{"name":"Kubernetes","optional":true},{"name":"LLM Evaluation","optional":true},{"name":"LLMOps","optional":true},{"name":"MLFlow","optional":true},{"name":"Multimodal AI","optional":true},{"name":"ONNX","optional":true},{"name":"Ray","optional":true},{"name":"Redis","optional":true},{"name":"Snowflake","optional":true},{"name":"TensorRT","optional":true},{"name":"Terraform","optional":true},{"name":"Vertex AI","optional":true},{"name":"vLLM","optional":true}],"status":"live","first_seen_at":"2026-07-06T21:10:36Z","employer_posted_date":"2026-10-15","last_verified_at":"2026-10-23T17:36:49Z","board_verified":true,"closed_at":null,"days_open":108,"trust":{"level":"ghost","repost_count":1,"flags":["stale","company_stale"],"days_open":108},"description":"The brands on your kitchen shelf are run by people doing extraordinary work that nobody sees. \nWe're building the platform they run on, and a brand they'll be proud to be part of.\nConfido is the AI operating system that runs cash application, deductions, trade and planning in one place for CPG brands. That means Finance, Sales, and Ops finally work on the same number. \nWe’re trusted by 250+ brands managing $30B+ in revenue, including Daisy, OLIPOP, Simple Mills, Idahoan, and more. We've achieved best-in-class growth and recently raised a $55M Series B led by Insight Partners to accelerate our momentum.\nIf you want your work on shelves everywhere - and outsized ownership while you build - we'd love to meet you.\nThe Role\nBe the first dedicated owner of Confido's ML platform. Our AI/ML team already ships document-understanding, forecasting, and agentic systems into production - on infrastructure we've stood up by hand. You'll own that layer: the pipelines, serving, and cloud foundation that turn models and agents into reliable, cost-efficient production systems, at the scale of hundreds of thousands of documents and heavy LLM/VLM workloads.\nLocation: New York, NY (Relocation supported)\nWhat you'll do\nOwn ML pipelines end to end - experimentation to production - and the infrastructure behind training, inference, and agentic workloads\n\nGive the AI/ML team a paved road: reproducible environments and fast paths from prototype to production, so they can try new models and agents without fighting the infra\n\nStand up the cloud foundation as Infrastructure as Code and the CI/CD that ships ML safely\n\nServe and optimize inference and forecasting workloads - latency, throughput, and cost - and the data streams feeding them (e.g. turning a heavy synchronous model call into an async, parallelized one)\n\nOwn the data interface with data engineering: serve the right data to models and agents, and write their outputs back into the platform's data systems for the rest of Confido to use\n\nMake reliability, observability, security, and privacy the default - and keep model and agent quality measurable in production through online evals and human-in-the-loop review, not just uptime\n\nWhat we're looking for\nRequired\n5+ years in MLOps, ML platform, AI infrastructure, or platform engineering - on production ML systems, not pipelines on paper\n\nYou live at the seam of software and infrastructure: equally at home writing production code and standing up cloud infra.\n\nYou've driven a real pipeline end to end and can walk through it: the architecture, the security and cost trade-offs, and what you'd change\n\nDeep cloud infrastructure understanding, distributed data systems, and IaC - you can boot an environment from scratch, wire CI/CD, and run containerized workloads in production without hand-holding\n\nStrong Python and comfort in a production app codebase (Ruby, Java) monitoring, security, and cost are instincts, not afterthoughts\n\nHigh ownership in a fast-moving startup, and experience productionizing what research/AI teams build\n\nNice to have\nLLMOps tooling - tracing, prompt/version management, eval harnesses\n\nInference optimization (vLLM, ONNX, TensorRT) and GPU / spot-instance economics\n\nML platform and orchestration tooling (MLflow, BentoML, Ray, Airflow)\n\nLarge-scale data systems (Snowflake, Kafka) and vector databases\n\nManaged ML services (Bedrock, SageMaker, Vertex AI)\n\nMultimodal or generative AI in production\n\nOur stack: Python · Ruby/Rails · AWS · Terraform · Kubernetes · GitHub Actions · Snowflake · Aurora/RDS · Redis · Kafka - with more of the above added as we scale.\nLearn more about AI @ Confido here\nPerks + Benefits\nEquity - own a meaningful piece of the company you’re helping build\n\nFully paid health coverage through Aetna - we cover 100% of employee premiums\n\nTop-tier dental and vision coverage through Guardian\n\nCarrot Fertility Pro - comprehensive fertility and family-forming support\n\n12 weeks of paid parental leave\n\nUnlimited PTO - plus regular 4-day holiday weekends we actually take\n\n401(k) through Vestwell\n\nPaid relocation support - we’ll help you make the move to NYC\n\nFully equipped workspace from day one - laptop, monitor, keyboard, and a $200 stipend to personalize your setup\n\nTeam perks - catered Friday lunches, team dinners, and unlimited coffee + snacks featuring products from the brands we work with\n\nConfido provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.","description_format":"text","description_chars":4771,"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":["Equity","Parental leave","Unlimited PTO"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":true,"industries":["Financial AI","Accounting & Tax Software"],"lifecycle":[{"event":"open","at":"2026-09-02T15:00:38Z"},{"event":"close","at":"2026-10-01T02:12:15Z"},{"event":"reopen","at":"2026-10-15T21:03:22Z"}],"visa":[],"liveness":{"score":6,"band":"cold","label":"Long shot","p_open":1,"p_active":0.201,"p_room":0.28,"age_days":108,"expected_fill_days":7,"reasons":["conf:2","stale_co","velocity","ghost","win:tail","crowd:"],"computed_at":"2026-10-23T05:54:15Z"},"pay":{"stated_usd_annual":300000,"is_top_pay":true},"html_url":"https://alion.io/job/confido-senior-ml-ops-engineer-2","json_url":"https://alion.io/job/confido-senior-ml-ops-engineer-2.json","meta":{"generated_at":"2026-10-23T18:32:52Z","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":26848,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-24T00:00:00Z"}},"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":846},"rest":"https://alion.io/mcp/rest/get_company?id=846"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fconfido-senior-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%2Fconfido-senior-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%2Fconfido-senior-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/confido-senior-ml-ops-engineer-2\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fconfido-senior-ml-ops-engineer-2"}]}