{"id":34037,"url":"https://alion.io/job/vosker-machine-learning-engineer-defendecreconeyez","title":"Machine Learning Engineer - Defendec/Reconeyez","company":{"id":7726,"name":"Vosker","domain":"vosker.com","url":"https://alion.io/company/vosker","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"SmartRecruiters","truth_index":{"grade":"A","score":100,"open_postings":16,"ghost_share":0,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":58,"computed_at":"2026-10-17T05:46:00Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"junior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Tallinn, Estonia"],"countries":["EE"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":2,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Computer Vision","optional":false},{"name":"Fine-tuning","optional":false},{"name":"Label Studio","optional":false},{"name":"LLM","optional":false},{"name":"LLM Evaluation","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"TensorRT","optional":false},{"name":"Triton","optional":false},{"name":"vLLM","optional":false},{"name":"VLM","optional":false},{"name":"Anomaly Detection","optional":true},{"name":"Comet ML","optional":true},{"name":"gRPC","optional":true},{"name":"LoRA","optional":true},{"name":"Model Context Protocol","optional":true},{"name":"Multimodal AI","optional":true},{"name":"NATS","optional":true},{"name":"PEFT","optional":true},{"name":"RAG","optional":true},{"name":"Triton Inference Server","optional":true}],"status":"live","first_seen_at":"2026-06-16T08:27:51Z","employer_posted_date":"2026-06-16","last_verified_at":"2026-10-18T01:02:33Z","board_verified":true,"closed_at":null,"days_open":123,"trust":{"level":"ok","repost_count":0,"flags":[],"days_open":122},"description":"VOSKER, leading provider of surveillance solutions for remote-area monitoring, is recruiting talent to support its Reconeyez solutions.\nEvery day, we design intelligent, autonomous, solar-powered and cellular-connected surveillance systems for the world’s most demanding environments, providing consumers and businesses with peace of mind and greater knowledge of their world.\nIn a few words, at Reconeyez by VOSKER: you’ll help protect critical assets, work with cutting-edge technology, and grow with a team that thinks big and delivers.\nBenefits:\nFast growing business \nFantastic office in Tallinn \nDown-to-earth, innovative company culture \nStebby wellness benefit\nAdditional vacation and health days\n The Role\nWe're looking for a Machine Learning Engineer to own and evolve our models and ML infrastructure behind our actor-detection and visual-verification pipeline. This is the team that decides what our cameras \"see\" - from the object-detection models that flag intrusions, to the duplicate-suppression logic that stops a parked car from firing alarms all night, to the next generation of vision-language models we're bringing in for richer scene understanding (fly-tipping detection, license plates, image-quality scoring).\nThis is a hands-on engineering role, not a research-only one. You'll train and optimize models and get them running reliably in production - building the data pipelines(and MLOps), serving infrastructure, and evaluation harnesses that turn a notebook experiment into something that survives contact with real field imagery (day/night, IR/RGB, weather, bad signal). You'll also help shape where we take agentic and LLM/VLM capabilities next.\nWhat You'll Do\nTrain, fine-tune, and evaluate computer-vision models (object detection, image quality, static-object/duplicate suppression) on real-world camera imagery\nOwn the model-serving pipeline - package models into our NVIDIA Triton ensembles (DALI GPU preprocessing → TensorRT inference → post-processing), build and deploy TensorRT engines, manage the model repository and no-downtime reloads\nBuild and curate datasets - ingestion, labelling, and quality control using FiftyOne(Voxel51) and Label Studio; identify and fix the data problems that actually move model accuracy\nDesign evaluation harnesses so model changes are measured, not guessed - regression suites, A/B comparisons, and metrics tied to real detection quality\nDevelop LLM/VLM and agentic capabilities - extend our self-hosted VLM/LLM stack(vLLM and similar), build retrieval- and tool-using agents, and integrate them into engineering and product workflows\n Must have:\nStrong Python and the modern ML stack - PyTorch, model training and fine-tuning, working in Jupyter / notebook-driven experimentation\nPractical computer vision experience - object detection, working with image data, understanding why models fail in the real world\nExperience taking models to production, not just training them - model serving, optimization, and the gap between offline metrics and live behavior\nSelf-starter mindset - you can take an ambiguous accuracy problem, dig into the data, run the experiments, and ship a measurable improvement independently\nRigorous about evaluation - you care about datasets, ground truth, edge cases, and not fooling yourself with a good-looking number\nNice to have:\nNVIDIA Triton Inference Server, TensorRT, DALI, or comparable GPU model-serving / optimization experience\nDataset tooling - FiftyOne (Voxel51), Label Studio, or similar curation/annotation platforms\nLLM / VLM experience - self-hosting (vLLM), fine-tuning (LoRA), RAG, or multimodal models\nAgent-building experience - tool-using agents, MCP, or LLM-orchestration frameworks\nMLOps - experiment tracking (CometML/Opik or similar), model registries, reproducible training pipelines\nExposure to edge/IoT or resource-constrained inference, or to anomaly detection on device telemetry\nFamiliarity with NATS / gRPC or other event-driven service communication\n Level\nMid-level (2-5+ years of relevant ML engineering experience). We value an engineer who can both improve a model and keep it running in production over a pure researcher or a pure MLOps specialist - depth in the CV/serving stack matters more than breadth across every framework.","description_format":"text","description_chars":4266,"description_truncated":false,"requirements":{"experience_years_min":2,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[{"language":"English","level":"All levels","optional":false}]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Digital Cameras & Photography","Video Surveillance"],"lifecycle":[{"event":"open","at":"2026-06-16T08:27:51Z"}],"visa":[],"liveness":{"score":11,"band":"cold","label":"Long shot","p_open":1,"p_active":0.4,"p_room":0.28,"age_days":122,"expected_fill_days":58,"reasons":["conf:4","velocity","win:tail","crowd:junior"],"computed_at":"2026-10-17T05:46:00Z"},"pay":null,"html_url":"https://alion.io/job/vosker-machine-learning-engineer-defendecreconeyez","json_url":"https://alion.io/job/vosker-machine-learning-engineer-defendecreconeyez.json","meta":{"generated_at":"2026-10-18T02:58:41Z","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":4738,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-19T00:00:00Z"}},"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":7726},"rest":"https://alion.io/mcp/rest/get_company?id=7726"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fvosker-machine-learning-engineer-defendecreconeyez"},{"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%2Fvosker-machine-learning-engineer-defendecreconeyez"},{"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%2Fvosker-machine-learning-engineer-defendecreconeyez"},{"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/vosker-machine-learning-engineer-defendecreconeyez\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fvosker-machine-learning-engineer-defendecreconeyez"}]}