{"id":73199,"url":"https://alion.io/job/orcrist-technologies-ml-engineer-2","title":"(Senior) Machine Learning Engineer","company":{"id":9334,"name":"Orcrist Technologies","domain":"orcrist.org","url":"https://alion.io/company/orcrist-technologies","size_band":"201-500","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"B","score":78,"open_postings":9,"ghost_share":0,"stale_share":0.667,"repost_share":0,"time_to_fill_p50_days":72,"computed_at":"2026-10-17T05:46:00Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":null,"work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"posting_text","remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":["Germany"],"countries":["DE"],"hiring_countries":["DE"],"hiring_countries_total":1,"salary":null,"salary_estimate":{"min_usd":113000,"max_usd":250000,"period":"year","method":"global_role_seniority_cell","sample_n":2102},"experience_years_min":4,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Fine-tuning","optional":false},{"name":"Hugging Face","optional":false},{"name":"Kubernetes","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"NLP","optional":false},{"name":"Ollama","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"Quantization","optional":false},{"name":"SGLang","optional":false},{"name":"Speech Recognition","optional":false},{"name":"Transformers","optional":false},{"name":"Triton","optional":false},{"name":"vLLM","optional":false},{"name":"KServe","optional":true},{"name":"ONNX","optional":true},{"name":"Ray","optional":true},{"name":"Ray Serve","optional":true},{"name":"TensorRT","optional":true}],"status":"live","first_seen_at":"2026-01-06T08:48:02Z","employer_posted_date":"2026-10-08","last_verified_at":"2026-10-17T05:15:01Z","board_verified":true,"closed_at":null,"days_open":283,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":283},"description":"Orcrist is building a next generation data intelligence platform using cutting-edge technologies. We're handling petabyte-scale data with sub-second queries. Our product is a Kubernetes-based platform delivered as B2B SaaS or as a self-hosted on-prem solution, including air-gapped deployments. We enable customers across defense, law enforcement, and enterprise to turn mission-critical data into actionable intelligence.\nRole\nWe are looking for a hands-on ML Engineer to build and productionize modern AI capabilities across text, vision, audio, and other applied ML use cases. You will work directly with state-of-the-art and open-source models - testing, evaluating, optimizing, and fine-tuning them for real product use cases. This is not a role focused on training foundation models from scratch or building data pipelines only. You will work closely with Research, Product, and Data Engineering teams to take promising models and ideas from experimentation to reliable, production-ready systems.\nWhat you’ll do\nEvaluate, compare and integrate open-source models for concrete product and customer use cases.\nBuild and improve LLM-based applications.\nExtend and improve AI and ML models using inference optimization, evaluation, and fine-tuning where appropriate.\nWork with NLP, translation, speech-to-text / ASR, image and document understanding, and related applied AI models.\nDesign evaluation frameworks covering model quality, latency, reliability, and cost.\nTake models from experimentation into production, including packaging, deployment, monitoring, and iteration.\nOptimize inference performance and operational cost.\nCollaborate with Research and Product teams to turn prototypes and experiments into scalable product capabilities.\nContribute to modern ML infrastructure and MLOps while remaining hands-on with models and model behaviour.\nAbout you\n4+ years of experience in Machine Learning Engineering, Applied AI, or a similar hands-on ML role.\nStrong Python skills and practical experience with modern ML frameworks and libraries such as PyTorch, Transformers, and Hugging Face.\nExperience working with LLMs, NLP models, speech models, or other modern generative AI systems.\nHands-on experience evaluating and experimenting with existing models rather than only building ML infrastructure.\nExperience with inference engines like vLLM or SGLang, and platforms like NVIDIA Triton or Ollama.\nFamiliarity with fine-tuning, prompting, model evaluation, inference, and deployment.\nWorking understanding of AI model encoding and quantization formats, and the tradeoffs thereof.\nStrong engineering mindset and ability to turn experiments into reliable, reproducible systems.\nEligible to work in Germany; export-control screening required for certain programs.\nNice-to-haves\nHands-on experience with model serving and production deployment, using technologies such as Kubernetes, KServe, NVIDIA Triton, and/or Ray Serve.\nKnowledge of inference optimization techniques, including batching, quantization, ONNX, or TensorRT.\nGerman language skills (B1+) and/or familiarity with defense or public safety datasets.\nExposure to geospatial AI, satellite imagery, or remote sensing.\nExperience working in constrained or regulated environments with infrastructure, security, or deployment requirements.\nWhat we offer\nRemote-first, Germany-wide: Work from wherever you do your best work, with regular team gatherings in Berlin and other off-site locations.\nFlexibility by default: Flexible working hours help you make work fit your life.\nYour setup, your way: Get a personal home-office equipment budget to create a workspace that works for you.\n30 days of vacation: Take the time you need to recharge and come back with fresh energy.\nKeep growing: We invest in your personal and professional development.\nGet rewarded for impact: Performance bonuses are tied to agreed objectives and key results.\nA warm welcome: Every new team member gets a welcome goodie bag.\nGood people, good times: From summer and Christmas parties to regular team gatherings, we make time to celebrate together.\n A mission that matters: Work on challenges with tangible impact on public safety and national security.","description_format":"text","description_chars":4190,"description_truncated":false,"requirements":{"experience_years_min":4,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[{"language":"German","level":"Intermediate (B1)","optional":false}]},"benefits":["Flexible schedule","Professional development"],"hiring_locations":[{"name":"Germany","iso":"DE","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["C4ISR","Defense AI"],"lifecycle":[{"event":"open","at":"2026-01-06T08:48:02Z"}],"visa":[],"liveness":{"score":14,"band":"cold","label":"Long shot","p_open":1,"p_active":0.51,"p_room":0.28,"age_days":283,"expected_fill_days":72,"reasons":["conf:0","velocity","win:tail","crowd:"],"computed_at":"2026-10-17T05:46:00Z"},"pay":null,"html_url":"https://alion.io/job/orcrist-technologies-ml-engineer-2","json_url":"https://alion.io/job/orcrist-technologies-ml-engineer-2.json","meta":{"generated_at":"2026-10-17T06:49:34Z","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":9400,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-18T00:00:00Z"}},"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":9334},"rest":"https://alion.io/mcp/rest/get_company?id=9334"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Forcrist-technologies-ml-engineer-2"},{"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%2Forcrist-technologies-ml-engineer-2"},{"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%2Forcrist-technologies-ml-engineer-2"},{"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/orcrist-technologies-ml-engineer-2\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Forcrist-technologies-ml-engineer-2"}]}