{"id":2907986,"url":"https://alion.io/job/stafide-machine-learning-engineer","title":"Machine Learning Engineer","company":{"id":2681283,"name":"Stafide","domain":"stafide.nl","url":"https://alion.io/company/stafide","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Zoho Recruit","truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Amsterdam, Netherlands"],"countries":["NL"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":74000,"max_usd":143000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":23},"experience_years_min":6,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"CI/CD","optional":false},{"name":"Docker","optional":false},{"name":"GCP","optional":false},{"name":"GitHub Actions","optional":false},{"name":"Google BigQuery","optional":false},{"name":"Machine Learning","optional":false},{"name":"Terraform","optional":false},{"name":"Vertex AI","optional":false}],"status":"live","first_seen_at":"2026-10-20T08:31:48Z","employer_posted_date":"2026-10-20","last_verified_at":"2026-10-26T17:59:25Z","board_verified":true,"closed_at":null,"days_open":6,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":6},"description":"As a Machine Learning Engineer - MLOps, you will:\n\nDevelop, implement, and maintain machine learning models for pricing ancillary products such as seats, bags, extra legroom, and paid fare upgrades.\nDesign, research, and implement end-to-end machine learning pipelines covering model training, retraining, deployment, and monitoring.\nLead the MLOps aspects within the team, ensuring robust, scalable, and production-ready machine learning solutions.\nDesign and optimize ML architectures to support reliable and efficient model development and deployment.\nContinuously monitor, maintain, and improve productionized machine learning models.\nEnsure low-latency model deployments and adherence to internal engineering standards and best practices.\nWork extensively within the Google Cloud Platform (GCP) ecosystem for machine learning development and deployment.\nLeverage BigQuery and the Vertex AI suite for data processing, model development, deployment, and monitoring.\nImplement infrastructure-as-code using Terraform to provision and manage ML infrastructure.\nContainerize machine learning applications and services using Docker.\nBuild and maintain CI/CD pipelines using GitHub Actions.\nImplement testing, automation, and deployment practices to ensure reliable and scalable ML solutions.\nCollaborate with data science, engineering, and other technical stakeholders throughout the machine learning lifecycle.\nWhat You Bring to the Table:\n\n6-8 years of overall professional experience in Machine Learning, Data Science, or a closely related engineering discipline.\nStrong hands-on experience developing, implementing, and maintaining machine learning models in production environments.\nStrong understanding of the complete ML lifecycle, including model development, retraining, deployment, monitoring, and optimization.\nStrong MLOps experience with ownership of production machine learning workflows and infrastructure.\nHands-on experience with Google Cloud Platform (GCP).\nExperience with BigQuery and the Vertex AI ecosystem.\nStrong experience with Terraform and infrastructure-as-code practices.\nHands-on experience with Docker and containerized ML workloads.\nStrong experience building and managing CI/CD pipelines using GitHub Actions.\nExperience with ML architecture design, optimization, testing, and automation.\nUnderstanding of production ML monitoring, model performance, reliability, and low-latency deployment requirements.\nStrong understanding of scalable and maintainable machine learning engineering practices.\nYou should possess the ability to:\n\nDesign and implement end-to-end production-grade machine learning pipelines.\nDevelop and maintain ML models that address real-world pricing and product optimization problems.\nManage the complete model lifecycle from development and retraining through deployment, monitoring, and continuous improvement.\nDesign scalable ML architectures and optimize them for performance, reliability, and low-latency execution.\nLead MLOps practices within a technical team and establish effective engineering standards.\nBuild and maintain reliable CI/CD pipelines for machine learning applications.\nAutomate infrastructure provisioning and management using Terraform.\nContainerize and deploy ML workloads using Docker.\nWork effectively with GCP, BigQuery, and Vertex AI for production machine learning solutions.\nImplement appropriate testing, monitoring, and deployment practices for production ML systems.\nTroubleshoot production ML and infrastructure issues and implement sustainable improvements.\nCollaborate effectively with data scientists, engineers, and other stakeholders.\nApply software engineering and MLOps best practices to machine learning development.\nWhat we bring to the table:\n\nThe opportunity to work on production-grade machine learning and MLOps solutions.\nExposure to real-world ML applications involving pricing and optimization of ancillary products.\nOpportunities to work extensively with GCP, BigQuery, and Vertex AI.\nHands-on exposure to modern MLOps technologies including Terraform, Docker, and GitHub Actions.\nOpportunities to work across the complete machine learning lifecycle, from model development and retraining to deployment, monitoring, and optimization.\nA collaborative engineering environment focused on scalable, reliable, and high-performance machine learning solutions.\nOpportunities to contribute to ML architecture, automation, testing, CI/CD, and continuous improvement.\nLet’s Connect\n\nWant to discuss this opportunity in more detail? Feel free to reach out.\nRecruiter: Aswin Dhanvandhar\nPhone: +31 20 369 0609 ; Extn :141\nE-mail: \nLinkedIn: https://www.linkedin.com/in/aswin-dhanvandhar/","description_format":"text","description_chars":4697,"description_truncated":false,"requirements":{"experience_years_min":6,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["IT Staffing & Staff Augmentation"],"lifecycle":[{"event":"open","at":"2026-10-20T08:31:48Z"}],"visa":[],"liveness":{"score":90,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.903,"p_room":1,"age_days":5,"expected_fill_days":28,"reasons":["conf:2","velocity","win:early","comp:brand"],"computed_at":"2026-10-26T05:57:25Z"},"pay":null,"html_url":"https://alion.io/job/stafide-machine-learning-engineer","json_url":"https://alion.io/job/stafide-machine-learning-engineer.json","meta":{"generated_at":"2026-10-26T22:57:01Z","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":31108,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-27T00:00:00Z"}},"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":2681283},"rest":"https://alion.io/mcp/rest/get_company?id=2681283"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fstafide-machine-learning-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%2Fstafide-machine-learning-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%2Fstafide-machine-learning-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/stafide-machine-learning-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fstafide-machine-learning-engineer"}]}