{"id":2355524,"url":"https://alion.io/job/voda-senior-machine-learning-engineer","title":"Senior Machine Learning Engineer","company":{"id":29254,"name":"Voda","domain":"voda.ai","url":"https://alion.io/company/voda","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Teamtailor","truth_index":null},"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":["Athens, Greece"],"countries":["GR"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":37000,"max_usd":93000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":1986},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Amazon CloudWatch","optional":false},{"name":"Amazon EC2","optional":false},{"name":"Amazon ECS","optional":false},{"name":"Amazon S3","optional":false},{"name":"Amazon SageMaker","optional":false},{"name":"AWS","optional":false},{"name":"CI/CD","optional":false},{"name":"Docker","optional":false},{"name":"GitHub Actions","optional":false},{"name":"IAM","optional":false},{"name":"LightGBM","optional":false},{"name":"Machine Learning","optional":false},{"name":"MLFlow","optional":false},{"name":"PostGIS","optional":false},{"name":"PostgreSQL","optional":false},{"name":"Prefect","optional":false},{"name":"Python","optional":false},{"name":"Scikit-learn","optional":false},{"name":"TensorFlow","optional":false}],"status":"live","first_seen_at":"2026-08-24T08:23:09Z","employer_posted_date":"2026-08-24","last_verified_at":"2026-10-13T17:44:54Z","board_verified":true,"closed_at":null,"days_open":50,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":50},"description":"VODA.ai is seeking a full-time Senior Machine Learning Engineer. In this role, you will own the reliability, scalability, and automation of our machine-learning pipelines. The role spans both infrastructure and the ML lifecycle. Day-to-day tasks may include containerizing pipeline services with Docker and deploying them on AWS, designing scalable and event-driven execution for our data preparation, model training, and prediction jobs, building and hardening CI/CD in GitHub Actions, improving observability with logging, metrics, and alerting, and strengthening the model lifecycle: reproducible training environments, experiment tracking with MLflow, model versioning, and deployment. Throughout, you will evolve and scale the pipelines that already serve our customers in production.\nQualifications\n5+ years of experience running production Python systems, with strong software engineering fundamentals: testing, version control, code review, and CI/CD\n\nHands-on Docker experience: writing and optimizing Dockerfiles, multi-stage builds, and debugging containers in production\n\nSolid Cloud experience across compute and storage (we use AWS EC2, ECS, S3, EFS, CloudWatch, and IAM)\n\nExperience building automated build, test, and deployment pipelines with GitHub Actions (or equivalent)\n\nWorking knowledge of both document and relational databases (MongoDB and PostgreSQL), including connecting services to them securely in containerized environments\n\nExperience supporting the ML lifecycle in production: experiment tracking and model management with MLflow (or a comparable tool), reproducible training pipelines, and model deployment\n\nThis is right for you if you:\nEnjoy designing cloud architecture and driving platform modernization from proposal to production\n\nLike owning initiatives end-to-end and shipping them incrementally without disrupting live systems\n\nThrive in collaborative environments, partnering with data scientists and DevOps engineers across the stack\n\nHave experience with modern Python environment and configuration tooling: uv, pydantic, Hydra/OmegaConf\n\nHave experience with workflow orchestrators (SageMaker Pipelines, Prefect) for scheduling and dependency management\n\nAre comfortable diving into our ML stack (TensorFlow, scikit-learn, LightGBM, geopandas) to improve training, evaluation, and deployment workflows\n\nHave exposure to geospatial data or GIS tooling (geopandas, PostGIS, ArcGIS) - a plus, not a requirement\n\nCare about cost efficiency: right-sizing compute and choosing appropriate storage\n\nVODA.ai uses Artificial Intelligence (AI) to help water utilities predict which of their pipes and meters are going to fail or have lead. There are 240,000 pipe breaks each year and millions of people without fresh water, so we are doing something about it. Our software uses our proprietary, built-in-house AI and is used by water utilities and municipalities to help them create better engineering and operations decisions. We’re built by water people for water people.\nVODA.ai was founded in 2017 and is headquartered in Boston, MA. We have a multi-award-winning solution and customers worldwide. Read more about us at voda.ai/about.","description_format":"text","description_chars":3175,"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":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Water Utilities","AI Agents"],"lifecycle":[{"event":"open","at":"2026-10-12T14:42:54Z"}],"visa":[],"liveness":{"score":18,"band":"cold","label":"Long shot","p_open":1,"p_active":0.503,"p_room":0.35,"age_days":49,"expected_fill_days":22,"reasons":["conf:1","win:tail"],"computed_at":"2026-10-13T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/voda-senior-machine-learning-engineer","json_url":"https://alion.io/job/voda-senior-machine-learning-engineer.json","meta":{"generated_at":"2026-10-13T18:34:48Z","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":28459,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-14T00:00:00Z"}},"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":29254},"rest":"https://alion.io/mcp/rest/get_company?id=29254"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fvoda-senior-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%2Fvoda-senior-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%2Fvoda-senior-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/voda-senior-machine-learning-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fvoda-senior-machine-learning-engineer"}]}