{"id":3977978,"url":"https://alion.io/job/ignatiuz-aiml-engineer","title":"AI/ML Engineer","company":{"id":692478,"name":"Ignatiuz","domain":"ignatiuz.com","url":"https://alion.io/company/ignatiuz","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"SmartRecruiters","truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":"junior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Indore, India"],"countries":["IN"],"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":"Computer Vision","optional":false},{"name":"RT-DETR","optional":false},{"name":"YOLO","optional":false},{"name":"Agile","optional":true},{"name":"Git","optional":true},{"name":"TensorRT","optional":true}],"status":"live","first_seen_at":"2026-11-09T18:35:35Z","employer_posted_date":null,"last_verified_at":"2026-11-09T18:35:35Z","board_verified":false,"closed_at":null,"days_open":0,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":0},"description":"We are looking for an AI/Computer Vision Engineer to build and optimize real-time video analytics solutions for safety-critical environments. The ideal candidate should have experience in developing, training, and deploying deep learning models for object detection, tracking, and video understanding. You will work closely with product, cloud, and engineering teams to deliver scalable AI solutions.\n\nKey Responsibilities:\nDevelop, train, and optimize computer vision models for real-time object detection and tracking.\nWork with YOLO, RT-DETR, or similar object detection frameworks.\nPrepare, clean, and annotate datasets for model training.\nFine-tune pre-trained models and improve detection accuracy.\nEvaluate model performance using precision, recall, mAP, and latency metrics.\nOptimize inference for edge devices and GPU-based deployments.\nIntegrate AI models into production applications.\nWork with video streams (RTSP, CCTV, IP Cameras).\nCollaborate with software engineers for deployment and API integration.\nTroubleshoot model performance and continuously improve detection accuracy.\nMaintain documentation and experiment tracking.\n\nRequired Skills:\nComputer Vision\nObject Detection\nImage Classification\nObject Tracking\nInstance Segmentation (preferred)\nVideo Analytics\nPyTorch\nTensorFlow/Keras\nOpenCV\nUltralytics YOLO\nCNN Fundamentals\nPython\nNumPy\nPandas\nObject-Oriented Programming\nData Annotation\nDataset Preparation\nData Augmentation\nDocker\nREST APIs\nGPU Optimization\nLinux\n\nRequirementsPreferred Experience:\nExperience with live video processing.\nExperience deploying AI models on NVIDIA GPUs.\nFamiliarity with DeepStream or TensorRT.\nKnowledge of MLOps fundamentals.\nExperience using Git and Agile methodologies.\n\nQualifications:\nBachelor's degree in Computer Science, AI, Electronics, or a related field.\n2-4 years of hands-on experience in AI/ML or Computer Vision.\nStrong problem-solving and analytical skills.\nSkills\nAI, Computer Vision, DeepStream, GPU, ML, Nvidia, 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