{"id":1285139,"url":"https://alion.io/job/technosoft-engineering-projects-limited-vision-ai-architect","title":"Vision AI Architect","company":{"id":3810694,"name":"Technosoft Engineering Projects Limited","domain":"technosofteng.com","url":"https://alion.io/company/technosoft-engineering-projects-limited","size_band":"501-1000","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":"staff","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Mumbai, India","Pune, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":28000,"max_usd":68000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":11},"experience_years_min":10,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Anomaly Detection","optional":false},{"name":"Apache Kafka","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"C++","optional":false},{"name":"CI/CD","optional":false},{"name":"ClearML","optional":false},{"name":"Computer Vision","optional":false},{"name":"Edge AI","optional":false},{"name":"FFmpeg","optional":false},{"name":"GCP","optional":false},{"name":"GStreamer","optional":false},{"name":"Kubeflow","optional":false},{"name":"Kubernetes","optional":false},{"name":"MLFlow","optional":false},{"name":"Multimodal AI","optional":false},{"name":"OCR","optional":false},{"name":"ONNX Runtime","optional":false},{"name":"OpenVINO","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"PyTorch C++","optional":false},{"name":"Quantization","optional":false},{"name":"RabbitMQ","optional":false},{"name":"Spark","optional":false},{"name":"TensorFlow","optional":false},{"name":"TensorFlow C++","optional":false},{"name":"TensorRT","optional":false},{"name":"Transfer Learning","optional":false},{"name":"Transformers","optional":false},{"name":"WebRTC","optional":false},{"name":"Weights & Biases","optional":false},{"name":"YOLO","optional":false},{"name":"C","optional":true},{"name":"CUDA","optional":true},{"name":"CUDA Toolkit","optional":true},{"name":"OpenCV","optional":true},{"name":"Rest API","optional":true}],"status":"live","first_seen_at":"2026-08-17T11:36:08Z","employer_posted_date":null,"last_verified_at":"2026-08-17T11:36:08Z","board_verified":false,"closed_at":null,"days_open":44,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":44},"description":"ABOUT US:\n\nTechnosoft Engineering is building an AI-powered visual intelligence platform. We design and deploy end-to-end Vision AI solutions that transform video and image data into actionable business intelligence.\n\nTHE ROLE:\n\nWe are looking for a Vision AI Architect to lead the design and implementation of large-scale Vision AI platforms and solutions. The role requires deep expertise across the entire video and vision lifecycle: capture, encoding, transcoding, transport, preprocessing, model development, training, deployment, scaling, application integration, and production operations. You will define reference architectures, guide engineering teams, and lead customer engagements from solution discovery through deployment.\n\nVideo Systems, Media Processing & Streaming Architecture:\n\n- Deep expertise in video capture, ingestion, encoding, transcoding, packaging, streaming, storage, and distribution.\n\n- Strong understanding of video codecs and standards: H.264, H.265/HEVC, AV1, MPEG-TS, MP4, RTSP, RTP, WebRTC, SRT, HLS, DASH.\n\n- Hands-on experience designing scalable video pipelines using FFmpeg, GStreamer, NVIDIA DeepStream, or equivalent frameworks.\n\n- Experience with edge-to-cloud video transportation architectures and low-latency streaming systems.\n\n- Knowledge of video quality optimization, bitrate adaptation, frame extraction, synchronization, and metadata management.\n\n- Experience handling large-scale video workloads across distributed environments.\n\nVision AI Platform Architecture:\n\n- Design and implementation of end-to-end Vision AI platforms.\n\n- Architecture experience covering ingestion, preprocessing, annotation, model training, inference, monitoring, and feedback loops.\n\n- Hands-on experience with object detection, segmentation, tracking, OCR, anomaly detection, and multimodal AI systems.\n\n- Expertise in YOLO, SAM, Vision Transformers, CNNs, and modern foundation vision models.\n\n- Ability to select and define scalable AI architectures based on business requirements.\n\nModel Development, Training & Optimization:\n\n- Experience building and training production-grade vision models on custom datasets.\n\n- Deep understanding of dataset design, annotation strategies, augmentation, transfer learning, and active learning.\n\n- Model optimization using TensorRT, ONNX Runtime, quantization, pruning, and GPU acceleration.\n\n- Experience deploying models across edge, cloud, and hybrid environments.\n\nProduction AI & MLOps Architecture:\n\n- Define enterprise-grade MLOps architectures using MLflow, Weights & Biases, ClearML, Kubeflow, or equivalent.\n\n- Design automated CI/CD pipelines for model deployment, validation, rollback, and monitoring.\n\n- Experience with Kubernetes-based AI platforms and GPU orchestration.\n\n- Establish model governance, drift monitoring, performance tracking, and observability.\n\nEnd-to-End Vision Solution Delivery:\n\n- Lead complete solution lifecycle from camera selection and placement through AI deployment and business application integration.\n\n- Experience integrating Vision AI with enterprise applications, dashboards, workflows, APIs, and business systems.\n\n- Strong understanding of presentation layers, visualization platforms, and real-time operational dashboards.\n\n- Ability to translate customer requirements into scalable solution architectures.\n\nCloud, Edge & Distributed Systems:\n\n- AWS, Azure, or GCP architecture experience for AI and video workloads.\n\n- Edge AI deployment using NVIDIA Jetson, Intel OpenVINO, or equivalent platforms.\n\n- Distributed data processing using Kafka, Spark, RabbitMQ, or similar technologies.\n\nLeadership & Customer Engagement:\n\n- Lead architecture reviews, technical governance, and solution roadmaps.\n\n- Mentor engineering teams and establish architecture standards.\n\n- Support pre-sales, solution workshops, customer discovery sessions, and implementation planning.\n\nProgramming Languages & Technology Stack:\n\n- Expert-level Python, C/C++ or similar core programming languages.\n\n- Strong experience with PyTorch, TensorFlow, OpenCV, CUDA, NVIDIA ecosystem, and AI acceleration frameworks.\n\n- Understanding of microservices, REST APIs, containerization, and distributed systems.\n\nQUALIFICATIONS:\n\n- B.Tech / M.Tech in Computer Science, Electronics, AI/ML, Computer Vision, or related engineering discipline.\n\n- 1015+ years of professional software engineering and solution architecture experience.\n\n- 7+ years delivering production Vision AI, video analytics, or media AI solutions.\n\n- Proven experience leading end-to-end Vision AI engagements and large-scale deployments.\nSkills\nComputer Vision, AI Architecture, Artificial Intelligence, Video Analytics, Python, C++, PyTorch, Cloud, Tensorflow, Codec, MLOps","description_format":"text","description_chars":4727,"description_truncated":false,"requirements":{"experience_years_min":10,"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":[],"lifecycle":[{"event":"open","at":"2026-09-26T04:00:00Z"}],"liveness":{"score":39,"band":"fade","label":"Fading","p_open":0.6,"p_active":0.86,"p_room":0.75,"age_days":44,"expected_fill_days":53,"reasons":["seen:44","win:late"],"computed_at":"2026-10-01T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/technosoft-engineering-projects-limited-vision-ai-architect","json_url":"https://alion.io/job/technosoft-engineering-projects-limited-vision-ai-architect.json","meta":{"generated_at":"2026-10-01T09:48:35Z","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":598,"day_limit":5000,"remaining_today":4402,"minute_limit":60,"resets_at":"2026-10-02T00:00:00Z"}}}