{"id":1647303,"url":"https://alion.io/job/glint-tech-solutions-data-scientist-computer-vision-engineer","title":"Data Scientist / Computer Vision Engineer","company":{"id":3854730,"name":"Glint Tech Solutions","domain":"glinttechsolutions.com","url":"https://alion.io/company/glint-tech-solutions","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Manatal","truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":null,"employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"inferred_payroll_markers","remote_working_hours":null,"hiring_geo_confidence":"inferred","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":"C++","optional":false},{"name":"Computer Vision","optional":false},{"name":"Python","optional":false},{"name":"AWS","optional":true},{"name":"Azure","optional":true},{"name":"CUDA","optional":true},{"name":"CUDA Toolkit","optional":true},{"name":"Docker","optional":true},{"name":"Edge AI","optional":true},{"name":"GCP","optional":true},{"name":"GStreamer","optional":true},{"name":"Kubernetes","optional":true},{"name":"Machine Learning","optional":true},{"name":"OpenCV","optional":true},{"name":"TensorRT","optional":true}],"status":"live","first_seen_at":"2026-10-01T22:56:56Z","employer_posted_date":null,"last_verified_at":"2026-10-01T22:56:56Z","board_verified":false,"closed_at":null,"days_open":6,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":6},"description":"We are seeking a highly experienced Data Scientist / Computer Vision Engineer to join an innovative AI team building large-scale computer vision solutions for enterprise applications.\nThe ideal candidate will have deep expertise in NVIDIA DeepStream, GPU optimization, distributed computing, and production-grade computer vision systems. This is a highly technical role requiring hands-on experience developing scalable, high-performance AI applications.\nResponsibilities\nDesign, develop, and optimize computer vision solutions for real-world production environments\n\nBuild scalable AI inference pipelines using NVIDIA DeepStream\n\nOptimize GPU performance for high-throughput, low-latency computer vision workloads\n\nDevelop and deploy distributed computer vision applications across large-scale infrastructure\n\nDesign and implement microservices supporting AI and computer vision platforms\n\nCollaborate with AI researchers, software engineers, and infrastructure teams to deliver production-ready solutions\n\nImprove system performance, scalability, and reliability across GPU-accelerated environments\n\nTroubleshoot performance bottlenecks and optimize inference pipelines\n\nRequired Qualifications\nStrong experience with Computer Vision technologies and production deployments\n\nHands-on experience with NVIDIA DeepStream (Required)\n\nStrong understanding of GPU optimization and performance tuning\n\nExperience building microservices architecture\n\nExperience with distributed computing systems\n\nStrong programming skills in Python and/or C++\n\nExperience deploying scalable AI applications in production\n\nExcellent problem-solving and performance optimization skills\n\nPreferred Qualifications\nExperience with NVIDIA CUDA or TensorRT\n\nExperience with OpenCV, GStreamer, or NVIDIA SDKs\n\nFamiliarity with Kubernetes and Docker\n\nExperience with cloud platforms (AWS, Azure, or GCP)\n\nExperience deploying machine learning or deep learning models in production\n\nKnowledge of real-time streaming and edge AI solutions\n\nRequired Skills (Must Have) NVIDIA DeepStream\n GPU Optimization Computer Vision Microservices Architecture\n Distributed ComputingOriginally posted on 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