{"id":942434,"url":"https://alion.io/job/awiros-computer-vision-engineer","title":"Computer Vision Engineer","company":{"id":1959,"name":"Awiros","domain":"awiros.com","url":"https://alion.io/company/awiros","size_band":"11-50","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Keka","truth_index":{"grade":"B","score":75,"open_postings":3,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-09-26T05:45:00Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":null,"employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bengaluru, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Anomaly Detection","optional":false},{"name":"C++","optional":false},{"name":"Computer Vision","optional":false},{"name":"Fine-tuning","optional":false},{"name":"Localization","optional":false},{"name":"Machine Learning","optional":false},{"name":"NumPy","optional":false},{"name":"ONNX","optional":false},{"name":"OpenCV","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"PyTorch C++","optional":false},{"name":"Quantization","optional":false},{"name":"Scikit-learn","optional":false},{"name":"TensorFlow","optional":false},{"name":"TensorFlow C++","optional":false},{"name":"Edge AI","optional":true},{"name":"Multimodal AI","optional":true},{"name":"ONNX Runtime","optional":true},{"name":"TensorRT","optional":true},{"name":"Transformers","optional":true}],"status":"live","first_seen_at":"2026-02-03T16:51:51Z","employer_posted_date":"2026-02-03","last_verified_at":"2026-09-26T18:12:59Z","board_verified":true,"closed_at":null,"days_open":235,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":235},"description":"TITLE: Computer Vision Engineer\nLOCATION: Gurugram/Bangalore WFO.\nBuild the intelligence behind real-world video.\nAt Awiros, we’re building an operating system for Computer Vision - a platform that enables developers and enterprises to build, deploy, and scale AI-powered video applications without having to reinvent the infrastructure underneath.\nFounded in 2015 and backed by Series A funding (~$7M raised), we work at the intersection of Deep Learning, Computer Vision, distributed systems, and real-time video analytics. Our technology powers applications across detection, recognition, tracking, safety, security, and operational intelligence.\nAnd this isn’t Computer Vision in a notebook.\nOur models run on real-world video, at scale, across edge and cloud environments - where accuracy, latency, robustness, and compute efficiency all matter.\nThat’s where you come in.\nTHE ROLE:\nWe’re looking for Computer Vision Engineers who enjoy turning challenging perception problems into reliable, production-ready solutions. You’ll work across the Computer Vision and Deep Learning stack - building and fine-tuning models, evaluating performance, optimizing inference, & integrating solutions into real-world video analytics applications.\nThe challenge isn’t simply getting a model to work. It’s making it work reliably in the real world - across different environments, hardware configurations, and deployment conditions, while balancing accuracy, latency, memory, throughput, and reliability.\nYou’ll work closely with our Computer Vision, Platform, Product, and C++ engineering teams to take solutions from implementation through optimization and into production.\nWHAT YOU'LL WORK ON:\nDesign, build, and optimize vision algorithms and deep learning models for real-time video analytics.\nDevelop solutions across object detection, tracking, re-identification, pose estimation, recognition, segmentation, and anomaly detection.\nSelect, adapt, and fine-tune deep learning architectures based on the requirements of a specific problem and deployment environment.\nWork with real-world datasets to train, evaluate, benchmark, and improve model performance.\nAnalyze model and inference bottlenecks across accuracy, latency, memory, throughput, and compute utilization.\nOptimize models for deployment using techniques such as quantization, pruning, model simplification, and architecture optimization.\nCollaborate with C++ and systems engineers to integrate models into production pipelines and deliver validated model artifacts such as ONNX models.\nDebug challenging detection and perception failures, identify root causes, and build robust solutions.\nDevelop evaluation workflows and performance benchmarks to measure and continuously improve our Computer Vision systems.\nEvaluate new Computer Vision techniques and technologies based on their practical applicability and potential product impact.\nTake ownership of problems from implementation → validation → optimization → integration → deployment.\nWHAT WE'RE LOOKING FOR\nYou don’t need to know everything. But you should have strong technical fundamentals, practical implementation skills, and enjoy figuring things out when the answer isn’t obvious.\nCore Skills\nStrong fundamentals in Machine Learning, Deep Learning, and Computer Vision.\nGood understanding of the mathematics behind ML - particularly linear algebra, probability, and calculus.\nHands-on experience with PyTorch or TensorFlow.\nSolid understanding of Computer Vision concepts including image processing, feature extraction, object detection, tracking, segmentation, and recognition.\nStrong programming skills in Python.\nPractical experience with OpenCV and NumPy.\nFamiliarity with scikit-learn is a plus.\nIt’s a Plus If You Have\nExperience with C++ and/or GPU programming.\nExperience deploying models using TensorRT, ONNX Runtime, or similar inference frameworks.\nExposure to model optimization and edge AI.\nExperience working with data pipelines, annotation workflows, evaluation frameworks, or large-scale datasets.\nFamiliarity with modern architectures such as Transformers, VLMs, or multimodal models.\nExperience taking models from prototype to production.\nExperience diagnosing performance issues across the model, inference stack, and underlying hardware.\nContributions to open-source ML/CV projects, technical competitions, or strong personal projects demonstrating practical implementation skills.\nWHY AWIROS?\nWork on Computer Vision that leaves the lab.\nBuild models that operate on real cameras, real environments, and real-world constraints - not just curated datasets.\nGo deep technically.\nWork alongside engineers across Deep Learning, Computer Vision, C++, GPU computing, inference optimization, distributed systems, and video infrastructure.\nOwn the entire journey.\nGet exposure to the complete model lifecycle - from implementation and experimentation to optimization, deployment, and production performance.\nSolve problems that aren’t already solved.\nVideo intelligence throws up messy, open-ended problems. There’s room here to challenge assumptions, experiment with different approaches, and build solutions that work reliably in the real world.\nBuild what comes next.\nComputer Vision is moving quickly. At Awiros, you’ll evaluate and adopt emerging technologies where they create real value - and turn them into practical, scalable video intelligence applications.\nIf you’re excited by the idea of making machines understand the visual world - and want to work on the engineering required to make that happen at scale - we’d like to hear from you!","description_format":"text","description_chars":5581,"description_truncated":false,"requirements":{"experience_years_min":null,"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","Computer Vision","Video Surveillance"],"lifecycle":[{"event":"open","at":"2026-09-15T19:11:37Z"}],"liveness":{"score":11,"band":"cold","label":"Long shot","p_open":1,"p_active":0.294,"p_room":0.36,"age_days":234,"expected_fill_days":121,"reasons":["conf:15","win:tail","crowd:"],"computed_at":"2026-09-26T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/awiros-computer-vision-engineer","json_url":"https://alion.io/job/awiros-computer-vision-engineer.json","meta":{"generated_at":"2026-09-27T02:48:05Z","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":2567,"day_limit":5000,"remaining_today":2433,"minute_limit":60,"resets_at":"2026-09-28T00:00:00Z"}}}