{"id":2560849,"url":"https://alion.io/job/noialabs-founding-mlops-data-platform-engineer","title":"Founding MLOps - Data Platform Engineer","company":{"id":4416382,"name":"noialabs.ai","domain":"noialabs.ai","url":"https://alion.io/company/noialabs","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":{"grade":"B","score":75,"open_postings":8,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-16T05:45:00Z"}},"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":["Paris, France"],"countries":["FR"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":60000,"max_usd":116000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":36},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":true,"technologies":[{"name":"CI/CD","optional":false},{"name":"Python","optional":false},{"name":"Time Series Forecasting","optional":true}],"status":"live","first_seen_at":"2026-06-08T16:28:19Z","employer_posted_date":"2026-06-08","last_verified_at":"2026-10-16T02:42:05Z","board_verified":true,"closed_at":null,"days_open":129,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":129},"description":"About Noïa Labs\nNoïa Labs is an early-stage neurotechnology company building the next generation of human-AI interfaces.\nWe're tackling one of the most ambitious problems in human-AI interaction: decoding human intent directly from brain signals, in real time and without surgery, to control and collaborate with AI systems.\nOur approach combines optimized neural sensors with large-scale AI models trained across many users, a technical challenge that sits at the intersection of neurotechnologies and frontier AI.\nFounded by the team behind NextMind (acquired by Snap) and backed by tier-1 investors, Noïa Labs is starting its journey and hiring a team of outstanding engineers and scientists where each person will have a major impact on the product and technology.\nYour Mission\nWe are seeking a talented MLOps / Data Platform Engineer to build the data and ML infrastructure behind our non-invasive neural interface. You will own the systems that ingest, version, and serve large-scale neural data, making model training fast, reproducible, and scalable from dataset construction and orchestration through distributed training and deployment.\nThis is a hands-on role for someone who enjoys building reliable infrastructure for fast-moving ML and research teams. The role spans data pipelines, ML workflows, compute infrastructure, experiment tracking, model deployment, and internal tooling, while working closely with ML engineers, neuroscientists, software engineers, and product teams.\nWhat you’ll do:\nBuild and maintain the platform for neural data ingestion, processing, storage, and retrieval\n\nDevelop pipelines for dataset generation, training, evaluation, and deployment\n\nCreate tools that help ML engineers and scientists find data, run experiments, compare models, and reproduce results\n\nManage cloud and GPU compute for scalable ML workloads\n\nImprove data quality, metadata, versioning, monitoring, and traceability\n\nWork with software and ML teams to integrate models into the platform\n\nHelp define standards for reliability, reproducibility, privacy, and security\n\nWhat we are looking for:\n5+ years of experience building production-grade MLOps and data infrastructure\n\nStrong software engineering experience, especially in Python\n\nExperience with cloud infrastructure, containers, CI/CD, and production systems\n\nExperience supporting GPU workloads or distributed training\n\nExperience with ML tooling for training, evaluation, tracking, or deployment\n\nStrong understanding of data quality, monitoring, versioning, and reproducibility\n\nStrong ownership, practical problem-solving skills, and attention to detail\n\nNice to have:\nExperience with time-series data such as biosignals, sensor data, audio, video, or robotics\n\nExperience with real-time streaming, edge buffering, device-to-cloud synchronization, or intermittent connectivity\n\nExperience in health, medical device, regulated, privacy-sensitive, or research environments\n\nBenefits & Compensation:\nEquity package\n\nFull health coverage, employer-paid through Alan\n\n100% reimbursement of public transport costs (Paris-based)\n\nMeal vouchers at €11 per working day, 60% company-funded\n\nNew MacBook Pro\n\nRTT (extra days off)\n\nEven if you don't check every box in our requirements, we encourage you to apply. 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