{"id":2730770,"url":"https://alion.io/job/intetics-mldata-engineer","title":"ML/Data Engineer","company":{"id":4245,"name":"Intetics","domain":"intetics.com","url":"https://alion.io/company/intetics","size_band":"501-1000","is_staffing_agency":false,"employer_type":"services","is_intermediary":false,"listed_via":null,"ats_vendor":"Workable","truth_index":{"grade":"C","score":63,"open_postings":94,"ghost_share":0.617,"stale_share":0,"repost_share":0.011,"time_to_fill_p50_days":27,"computed_at":"2026-10-16T05:45:00Z"}},"role":"Data Science","role_family":"Data Science","seniority":null,"employment_type":null,"work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"posting_text","remote_working_hours":{"label":"CET","utc_offset_min":1,"utc_offset_max":1},"hiring_geo_confidence":"explicit","locations":[],"countries":[],"hiring_countries":["US"],"hiring_countries_total":1,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Amazon Kinesis","optional":false},{"name":"Apache Kafka","optional":false},{"name":"ClickHouse","optional":false},{"name":"Flink","optional":false},{"name":"InfluxDB","optional":false},{"name":"Machine Learning","optional":false},{"name":"Prometheus","optional":false},{"name":"Python","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"Time Series Forecasting","optional":false},{"name":"TimescaleDB","optional":false},{"name":"Amazon EC2","optional":true},{"name":"Amazon ECS","optional":true},{"name":"AWS","optional":true},{"name":"AWS Lambda","optional":true},{"name":"GraphQL","optional":true},{"name":"gRPC","optional":true},{"name":"Knowledge Graph","optional":true},{"name":"LLM","optional":true},{"name":"PostgreSQL","optional":true}],"status":"live","first_seen_at":"2026-10-16T17:54:53Z","employer_posted_date":"2026-10-16","last_verified_at":"2026-10-16T22:05:11Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"Intetics Inc., a global technology company providing custom software application development, distributed professional teams, software product quality assessment, and “all-things-digital” solutions, is seeking a highly skilled and experienced ML/Data Engineer to join our dynamic team on a full-time basis.\nCustomer location: USA\nCandidate locations: EU ONLY\nWorking hours: 11.00-20.00 CET\nLanguage: English B2+\nEstimated start date: 16.11.2026\nDuration: 12 months\nProject Responsibilities\nDesign and build production data infrastructure for high-volume athlete performance and sensor data.\nBuild and operate real-time and near-real-time ingestion systems for streaming data.\nDesign storage and data architectures for high-volume time-series data and longitudinal athlete records.\nBuild infrastructure that makes production features and derived metrics available to machine learning systems and AI agents with low latency.\nDesign and implement graph data models and schemas representing relationships between athletes, training loads, injuries, performance, and outcomes.\nBuild data and ML evaluation infrastructure that helps measure model reliability, calibration, and performance across real-world cases.\nDesign systems that maintain strong tenant-level data isolation across clubs and customers.\nEstablish appropriate data provenance, lineage, auditability, and observability across the platform.\nWork with ML and AI engineers to provide reliable data foundations for model training, inference, and evaluation.\nWork with sport scientists and domain experts to translate complex requirements into durable production systems.\nMake pragmatic technology and architecture decisions as the platform evolves.\nRequirements\n5+ years of full-time professional software or data engineering experience, excluding internships, university placements, coursework, and academic projects.\nProven experience designing, building, and operating production data infrastructure at scale.\nStrong experience working with time-series data or time-series databases, such as InfluxDB, TimescaleDB, Prometheus, ClickHouse, or equivalent technologies.\nSignificant experience with real-time or streaming data ingestion, using technologies such as Kafka, Kinesis, Flink, Spark Streaming, Pulsar, or equivalent.\nExperience designing graph data models or graph database schemas, not simply querying or consuming an existing graph database.\nExperience designing or operating multi-tenant systems with tenant-level data isolation.\nStrong Python and SQL skills. Professional experience with Go is highly desirable.\nExperience working with production systems where reliability, scalability, observability, and data correctness matter.\nAbility to take ownership of ambiguous technical problems and turn them into practical production architectures.\nExperience working directly with data scientists, ML engineers, or other technical domain specialists.\nExperience building probabilistic evaluation, model calibration, or model monitoring infrastructure.\nExperience with causal inference, counterfactual modelling, or simulation.\nExperience working with wearable sensors, IoT data, biomechanics, sports technology, or other high-frequency telemetry.\nExperience building knowledge graphs or domain-specific ontologies.\nExperience with LLM or AI evaluation frameworks and an understanding of their limitations.\nExperience with AWS, including ECS, EC2, Lambda, SNS, SQS, or related services.\nExperience with GraphQL, REST, gRPC, Postgres, MongoDB, or similar technologies.","description_format":"text","description_chars":3533,"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":[{"language":"English","level":"Upper-Intermediate (B2)","optional":false}]},"benefits":[],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["IT Outsourcing & Dedicated Teams","Software Testing & QA","Custom Software Development"],"lifecycle":[{"event":"open","at":"2026-10-16T17:54:53Z"}],"visa":[],"liveness":{"score":86,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.86,"p_room":1,"age_days":0,"expected_fill_days":27,"reasons":["conf:0","win:early"],"computed_at":"2026-10-16T23:04:33Z"},"pay":null,"html_url":"https://alion.io/job/intetics-mldata-engineer","json_url":"https://alion.io/job/intetics-mldata-engineer.json","meta":{"generated_at":"2026-10-16T23:04:33Z","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":4831,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-17T00:00:00Z"}},"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":4245},"rest":"https://alion.io/mcp/rest/get_company?id=4245"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fintetics-mldata-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%2Fintetics-mldata-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%2Fintetics-mldata-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/intetics-mldata-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fintetics-mldata-engineer"}]}