{"id":4312760,"url":"https://alion.io/job/zoid-technologies-private-limited-deep-learning-engineer-computer-vision","title":"Deep Learning Engineer - Computer Vision","company":{"id":4543845,"name":"ZOID TECHNOLOGIES PRIVATE LIMITED","domain":"zoidtech.co.in","url":"https://alion.io/company/zoid-technologies-private-limited","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":null,"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":["Noida, 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":"CUDA","optional":true},{"name":"CVAT","optional":true},{"name":"Docker","optional":true},{"name":"DVC","optional":true},{"name":"Git","optional":true},{"name":"Label Studio","optional":true},{"name":"Linux","optional":true},{"name":"MLFlow","optional":true},{"name":"ONNX","optional":true},{"name":"Open3D","optional":true},{"name":"PDAL","optional":true},{"name":"Python","optional":true},{"name":"PyTorch","optional":true},{"name":"TensorRT","optional":true},{"name":"Weights & Biases","optional":true},{"name":"YOLO","optional":true}],"status":"live","first_seen_at":"2026-11-14T04:35:24Z","employer_posted_date":null,"last_verified_at":"2026-11-14T04:35:24Z","board_verified":false,"closed_at":null,"days_open":0,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":0},"description":"Role Name : Deep Learning Engineer\n\nExperience : 2 - 4 years\n\nLocation : Sector 132, Noida\n\nAbout ZOID :\n\nZOID is a deep-tech R&D startup working on advanced technologies for the defence and aerospace sector. We build customised solutions for the Indian Military and UAV manufacturers, with our strength being hands-on expertise in AI, electronics, UAVs and robotics.\n\nCurrent projects include :\n\n- AI-based FOD detection software for naval air stations\n\n- Reusable Off-board Missile Decoy for anti-ship missile defence\n\n- GNSS-Denied Navigation Suite\n\n- Aerial Intelligent Mapping Suite\n\n- Vision-based Kinetic Strike Solution\n\n- Swarming Solutions\n\nRole Brief :\n\nWe are looking for an Deep Learning Engineer to handle AI data operations through field data collection, image annotation, dataset QC, and test-set analysis for UAV/defence applications. The role involves working with field teams during runway/track tests and maintaining accurate, traceable datasets and test logs.\n\nKey Responsibilities :\n\n1. Optics Testing :\n\n- Own the optics testing end to end (FOV, focal length and depth-of-field calculations) for detecting 3 x 3 x 3 mm objects.\n\n- Plan and conduct optics testing including camera & lens settings (focus, motion-blur budget, exposure, gain, FPS, binning, etc).\n\n2. Dataset Management :\n\n- Build and manage the dataset, annotation and QA/QC rules, data versioning, and backup (Raid Configuration).\n\n- Analyse the type of datasets which should be collected for any specific task.\n\n3. Model Development & Optimisation :\n\n- Develop the detection & classification model for millimetre-scale objects at high resolution.\n\n- Optimise models for real-time inference on the GPU servers such that multiple cameras can simultaneously operate on a single GPU without any accuracy loss.\n\n4. Deployment & Validation :\n\n- Implement object localisation and geo-referencing of detections using RTK/GNSS and frame timestamps and validate CEP in the field.\n\n- Maintain a model registry with regression tests so no release degrades detection performance; run the false-positive review loop with operations staff.\n\n- Analyse why false positives are occurring and how to eliminate them.\n\n- Recommend computation hardware (GPU, memory, storage, camera network cards) based on model and data-rate requirements.\n\n- Apply AI methods to 3D photogrammetry data. Run segmentation, object detection and change detection, and extend the 3D processing pipeline where required. (Good to have)\n\nMust Have :\n\n- Fluency in Python.\n\n- Strong computer vision fundamentals.\n\n- Knowledge of PyTorch & implementation of object detection at high resolution and small object scale (YOLO/DETR family or equivalent).\n\n- Dataset engineering : annotation tooling (CVAT/Label Studio), QC methods, data versioning (DVC), experiment tracking (W&B/MLflow).\n\n- TensorRT, CUDA, ONNX, INT8 quantisation, multi-GPU inference.\n\n- Optics knowledge : FOV, IFOV, GSD, focal length, MTF, exposure & experience with machine-vision cameras and NIR imaging (Good to have).\n\n- Object localisation and geo-referencing : pixel-to-ground mapping, CEP estimation, working with RTK/GNSS and time-synchronised frames. (Good to have)\n\n- 3D data handling : point clouds and meshes (Open3D, PCL, PDAL or equivalent), knowledge of 3D deep learning models (PointNet/PointNet++, KPConv or similar) for segmentation and detection on 3D models. (Good to have)\n\n- Linux, Git and CI; comfortable deploying and debugging on field hardware.\n\nGood to Have :\n\n- Experience with multi-camera systems: synchronisation, overlapping fields of view, and stitching or fusing outputs from a camera array.\n\n- Familiarity with GigE-Vision/GenICam camera SDKs and PoE camera networks, enough to debug frame drops and timing with the software team.\n\n- Active learning or semi-automatic labelling to cut annotation effort on large field datasets.\n\n- Exposure to anomaly detection or unsupervised methods for finding objects that were never in the training set.\n\n- LiDAR or depth-sensor data handling, useful for cross-checking optical detections and for AIMS 3D work.\n\n- Understanding of EO/IR sensor behaviour beyond NIR (SWIR/MWIR), for future sensor upgrades.\n\n- Basic Docker and model-serving experience for reproducible field deployments.\nSkills\nDeep Learning, Computer Vision, Drone/UAV Systems, Drone/UAV Applications, Python, PyTorch, CUDA","description_format":"text","description_chars":4372,"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":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Robotic Software & Control Systems"],"lifecycle":[{"event":"open","at":"2026-11-14T13:10:15Z"}],"visa":[],"liveness":{"score":86,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.86,"p_room":1,"age_days":0,"expected_fill_days":23,"reasons":["seen:0","win:early","comp:junior"],"computed_at":"2026-11-14T14:51:23Z"},"pay":null,"html_url":"https://alion.io/job/zoid-technologies-private-limited-deep-learning-engineer-computer-vision","json_url":"https://alion.io/job/zoid-technologies-private-limited-deep-learning-engineer-computer-vision.json","meta":{"generated_at":"2026-11-14T14:51:23Z","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":15968,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-15T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.1,"usd":0.01,"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":4543845},"rest":"https://alion.io/mcp/rest/get_company?id=4543845"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fzoid-technologies-private-limited-deep-learning-engineer-computer-vision"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"free","price":{"credits":0,"usd":0},"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%2Fzoid-technologies-private-limited-deep-learning-engineer-computer-vision"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.1,"usd":0.01},"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%2Fzoid-technologies-private-limited-deep-learning-engineer-computer-vision"},{"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/zoid-technologies-private-limited-deep-learning-engineer-computer-vision\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fzoid-technologies-private-limited-deep-learning-engineer-computer-vision"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":4312760}},{"tool":"search_jobs","arguments":{"company":"zoidtech.co.in","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":4312760},"note":"people open to offers who fit this vacancy"}],"note":"The same data through MCP tools: https://alion.io/mcp/open needs no sign-in (compact searches, postings, people); https://alion.io/mcp with an Alion account has everything. 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