{"id":3680480,"url":"https://alion.io/job/dev-pro-computer-vision-engineer-video-analytics-python-op02259-os","title":"Computer Vision Engineer (Video Analytics, Python) - OP02259-OS","company":{"id":2047358,"name":"Dev.Pro","domain":"dev.pro","url":"https://alion.io/company/dev-pro","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workable","truth_index":{"grade":"B","score":80,"open_postings":14,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":13,"computed_at":"2026-11-04T06:34:25Z"}},"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":"inferred","locations":["São Paulo, Brazil","Buenos Aires, Argentina","Bogotá, Colombia","Lima, Peru"],"countries":["BR","AR","CO","PE"],"hiring_countries":["US","AR","BR","CO","PE"],"hiring_countries_total":5,"salary":null,"salary_estimate":null,"experience_years_min":7,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Computer Vision","optional":false},{"name":"CUDA","optional":false},{"name":"OpenCV","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"Quantization","optional":false},{"name":"TensorRT","optional":false},{"name":"Ultralytics","optional":false},{"name":"YOLO","optional":false},{"name":"Azure","optional":true},{"name":"Docker","optional":true},{"name":"Fine-tuning","optional":true},{"name":"ONNX","optional":true}],"status":"live","first_seen_at":"2026-11-03T12:56:54Z","employer_posted_date":"2026-11-03","last_verified_at":"2026-11-04T17:52:44Z","board_verified":true,"closed_at":null,"days_open":1,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":1},"description":"New opportunities in Latin America!\nDev.Pro is a US-based software development company helping tech companies build their products and grow their business. We’re remote-first, and we work with independent contractors in over 55 countries, so you’d be collaborating in a multicultural environment on some really interesting projects.\nWe invite a skilled AI Engineer to join our team in building GPU-accelerated video analytics for real-time safety monitoring across large fleets and industrial environments. In this role, you’ll help design and optimize pipelines that detect and track actionable safety events in high-volume video streams. You’ll work on real-world systems that make an impact, collaborating with engineering and product teams to deliver reliable, high-performance solutions.\nWhat's in it for you:\nCollaborate with top engineers on an innovative, technically challenging computer vision project \nBuild impactful systems that enhance safety across large fleets and industrial operations\nGain hands-on experience with GPU-accelerated video analytics, temporal tracking, and real-time safety monitoring\nIs that you?\n7+ years of software engineering experience with strong backend skills \n3+ years of experience shipping computer vision solutions to production\nStrong Python proficiency\nExperience with OpenCV, PyTorch, async I/O frameworks, and API integrations \nHands-on experience with YOLO/Ultralytics or similar object detection frameworks\nExperience detecting, labeling, and tracking objects in video\nSolid knowledge of frame sampling, confidence thresholds, temporal filtering, and multi-camera aggregation\nExperience with GPU inference optimization (batching, stride, TensorRT, CUDA, quantization, throughput tuning) \nAbility to communicate and collaborate effectively with engineering and product teams\nUpper-Intermediate+ English level\nDesirable:\nExperience with Azure Event Hub, Blob Storage, Application Insights, or similar\nFamiliarity with Docker, cloud deployments, and production monitoring systems \nExperience in temporal/sequence analysis for event detection\nExperience with video analytics in safety, compliance, or industrial/transportation environments\nKey responsibilities and your contribution\nIn this role, you’ll develop and maintain robust backend solutions that process video data and deliver actionable insights using pre-trained computer vision models.\nDevelop and optimize GPU-accelerated video inference pipelines for real-time processing\nImplement, evaluate, and improve object detection models (YOLO or similar)\nBuild temporal smoothing and tracking logic for safety event detection\nOptimize model performance using TensorRT, ONNX, CUDA, and GPU profiling tools\nBuild and maintain integrations with event-driven APIs, Azure Event Hub, Blob Storage, and internal services\nAdd metrics, logging, telemetry, and fail-safe mechanisms for resilient inference jobs\nContribute to dataset curation, labeling, and model evaluation; fine-tuning/training as needed\nSupport containerized deployments (Docker) and assist with monitoring and scaling production workload\nOur next steps:\nSubmit a CV in English - Intro call with a Recruiter - Interview - Signing the Contract\nInterested? Find out more:\n How to Join Us\nLinkedIn Page\nOur website\nIG Page\nBy submitting application, I've read and agree to the Dev.Pro Private Policy and Consent on Processing of Personal Data. 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