{"id":661890,"url":"https://alion.io/job/amsaccelerateit-machine-learning-engineer","title":"Machine Learning Engineer","company":{"id":668930,"name":"AMS Accelerate IT","domain":"amsaccelerateit.com","url":"https://alion.io/company/amsaccelerateit","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Recruitee","truth_index":{"grade":"A","score":95,"open_postings":21,"ghost_share":0,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":138,"computed_at":"2026-10-29T05:49:05Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":null,"employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bucharest, Romania"],"countries":["RO"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Airflow","optional":false},{"name":"Apache HTTP Server","optional":false},{"name":"Celery","optional":false},{"name":"CI/CD","optional":false},{"name":"Data Augmentation","optional":false},{"name":"dbt","optional":false},{"name":"Digital Twin","optional":false},{"name":"Docker","optional":false},{"name":"ETL/ELT","optional":false},{"name":"FastAPI","optional":false},{"name":"GCP","optional":false},{"name":"Git","optional":false},{"name":"Google BigQuery","optional":false},{"name":"Great Expectations","optional":false},{"name":"Kubeflow","optional":false},{"name":"LangChain","optional":false},{"name":"LlamaIndex","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"Pinecone","optional":false},{"name":"Pydantic","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"RabbitMQ","optional":false},{"name":"RAG","optional":false},{"name":"React.js","optional":false},{"name":"Semantic Search","optional":false},{"name":"Synthetic Data","optional":false},{"name":"TypeScript","optional":false},{"name":"Unstructured.io","optional":false},{"name":"Vertex AI","optional":false},{"name":"Weaviate","optional":false},{"name":"JavaScript","optional":true}],"status":"live","first_seen_at":"2026-07-06T05:17:29Z","employer_posted_date":"2026-07-06","last_verified_at":"2026-10-29T10:12:01Z","board_verified":true,"closed_at":null,"days_open":115,"trust":{"level":"ok","repost_count":0,"flags":["company_stale"],"days_open":114},"description":"Tech stack & ecosystem: (if applicable)\nYou will be the backbone of our ML platform, building everything from user-facing interfaces down to the data layers that feed our models:\nPlatform & API: Python, FastAPI, React, TypeScript.\n\nData Warehousing & Storage: Google Cloud Platform (GCP), BigQuery, Cloud Storage, Apache Parquet / Arrow.\n\nData & ML Orchestration: dbt, Apache Airflow, Kubeflow Pipelines (KFP), Asynchronous Job Queues (Celery/RabbitMQ).\n\nUnstructured Data & GenAI: Vector Databases (e.g., Pinecone, Weaviate), modern RAG tooling (LangChain, LlamaIndex).\n\nData Quality & Contracts: Pydantic, Great Expectations, strict JSON Schema validation.\n\nWhat You’ll Do\nOwn the API & Platform Layer: Design, build, and maintain the robust backend APIs (FastAPI) that serve as the bridge between our React frontend and our asynchronous, heavy-compute machine learning pipelines.\n\nBuild the User Interface: Develop and maintain features in our React frontend, creating intuitive platform dashboards that allow users to design ML experiments, trigger data augmentation jobs, and visualize synthetic data metrics.\n\nArchitect ML Data Pipelines: Build and maintain high-throughput ETL/ELT pipelines capable of ingesting massive tabular datasets directly into our Kubeflow training and inference workflows.\n\nBuild the RAG Foundation: Develop the data pipelines that power our LLM digital twins. You will handle chunking, embedding generation, and vector indexing of unstructured text to enable highly accurate Retrieval-Augmented Generation (RAG).\n\nOptimize ML Data I/O: Optimize how our PyTorch models read and write data, leveraging columnar formats (Parquet) and distributed processing to eliminate I/O bottlenecks during training and generation.\n\nEnforce Strict Data Contracts: Ensure seamless communication between the frontend, backend, and ML workers by implementing strict data contracts (using Pydantic) and automated schema validation.\n\nRequirements\nWhat you’ll need [role requirements]:\nPlatform & Full-Stack Engineering\nAPI Design & Backend: Proven experience building robust, highly available RESTful APIs in Python (FastAPI preferred). Experience managing asynchronous workloads and task queues.\n\nFrontend Development: Solid experience building and maintaining modern, responsive web applications using React and TypeScript.\n\nInfrastructure & CI/CD: Comfortable working with Git, CI/CD pipelines, Docker, and Infrastructure as Code to deploy platform services reliably.\n\nData Engineering & MLOps\nCloud Data Warehouses: Deep expertise in modern cloud data architectures, specifically Google Cloud Platform (BigQuery, GCS).\n\nPipeline Orchestration: Hands-on experience with modern data orchestration and transformation tools (e.g., Apache Airflow, dbt) and familiarity with ML orchestrators (Kubeflow, Vertex AI).\n\nFamiliarity with ML Workflows: You understand the data lifecycle of machine learning and know how to prepare data for training, inference, and evaluation.\n\nVector Data: Experience or strong familiarity with processing unstructured data and interacting with Vector Databases for semantic search/RAG architectures.","description_format":"text","description_chars":3137,"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":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Recruiting & Staffing","IT Staffing & Staff Augmentation"],"lifecycle":[{"event":"open","at":"2026-09-10T21:38:19Z"}],"visa":[],"liveness":{"score":44,"band":"fade","label":"Fading","p_open":1,"p_active":0.739,"p_room":0.6,"age_days":115,"expected_fill_days":138,"reasons":["conf:1","win:late","crowd:"],"computed_at":"2026-10-29T05:49:05Z"},"pay":null,"html_url":"https://alion.io/job/amsaccelerateit-machine-learning-engineer","json_url":"https://alion.io/job/amsaccelerateit-machine-learning-engineer.json","meta":{"generated_at":"2026-10-29T13:05:39Z","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":19638,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-30T00:00:00Z"}},"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":668930},"rest":"https://alion.io/mcp/rest/get_company?id=668930"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Famsaccelerateit-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%2Famsaccelerateit-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%2Famsaccelerateit-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/amsaccelerateit-machine-learning-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Famsaccelerateit-machine-learning-engineer"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":661890}},{"tool":"search_jobs","arguments":{"company":"amsaccelerateit.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":661890},"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"}}