{"id":1479614,"url":"https://alion.io/job/wakapi-computer-vision-ai-systems-engineer","title":"Computer Vision / AI Systems Engineer","company":{"id":696333,"name":"Wakapi","domain":"wakapi.com","url":"https://alion.io/company/wakapi","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":"middle","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"inferred","locations":[],"countries":[],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"CNN","optional":false},{"name":"Computer Vision","optional":false},{"name":"GCP","optional":false},{"name":"Kubernetes","optional":false},{"name":"OCR","optional":false},{"name":"ONNX","optional":false},{"name":"OpenCV","optional":false},{"name":"OpenVINO","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"Quantization","optional":false},{"name":"TensorFlow","optional":false},{"name":"TensorRT","optional":false},{"name":"Transformers","optional":false},{"name":"WebRTC","optional":false},{"name":"YOLO","optional":false}],"status":"live","first_seen_at":"2026-09-29T15:02:14Z","employer_posted_date":"2026-09-29","last_verified_at":"2026-09-30T06:10:59Z","board_verified":true,"closed_at":null,"days_open":2,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":2},"description":"The Role:\n Researches, architectures, and constructs production AI vision systems, leveraging state-of-the-art\ndetection models and stream processing pipelines to extract attributes and infer intelligence from\nimage and video streams in real time.\nResponsibilities: \n\nModel Architecture & Development: Design, train, and fine-tune state-of-the-art vision models\n\n(e.g., YOLO variants, DETR, Transformers) for object detection, classification, and attribute\nextraction.\nStream Processing & Pipeline Engineering: Build low-latency ingestion and processing pipelines\n\nfor high-throughput video and image streams (e.g., RTSP, WebRTC, frame decoding).\nDomain Application & LPR: Engineer end-to-end computer vision workflows, including License\n\nPlate Recognition (LPR/ANPR), Optical Character Recognition (OCR), and multi-object tracking\n(MOT).\nInference Optimization: Optimize model performance for efficient execution on cloud infrastructure\n\n(Kubernetes/GCP) and edge devices using TensorRT, ONNX, or OpenVINO.\nDataset & Active Learning: Curate, annotate, and augment visual datasets, establishing automated\n\nmodel retraining loops and evaluation frameworks.\nRequirements: \n\n3+ years of hands-on experience designing and deploying computer vision and deep learning\n\nmodels in production environments.\nDeep expertise with modern object detection architectures (YOLO, DETR, Faster R-CNN, Vision\n\nTransformers).\nStrong programming skills in Python and deep learning frameworks (PyTorch, OpenCV, TensorFlow).\n\nProven experience working with video stream ingestion, frame processing, and low-latency inference\n\npipelines.\nDemonstrated experience with License Plate Recognition (LPR), OCR, or fine-grained attribute\n\ninference systems.\nFamiliarity with model quantization, ONNX export, and TensorRT compilation for hardware\n\nacceleration.\nYOLO / DETR | Computer Vision | PyTorch / OpenCV | Video Stream Processing | LPR / OCR |\nEdge & Cloud Inference\nC - PGS - 29092026\nWakapi Web","description_format":"text","description_chars":1971,"description_truncated":false,"requirements":{"experience_years_min":3,"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":["Robotic Software & Control Systems","Artificial Intelligence"],"lifecycle":[{"event":"open","at":"2026-09-29T20:19:42Z"}],"liveness":{"score":90,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.903,"p_room":1,"age_days":1,"expected_fill_days":18,"reasons":["conf:23","velocity","win:early"],"computed_at":"2026-10-01T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/wakapi-computer-vision-ai-systems-engineer","json_url":"https://alion.io/job/wakapi-computer-vision-ai-systems-engineer.json","meta":{"generated_at":"2026-10-01T21:08:13Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":3697,"day_limit":5000,"remaining_today":1303,"minute_limit":60,"resets_at":"2026-10-02T00:00:00Z"}}}