computer vision engineer

Infosys

<div><h2 class="jobSectionHeader">Job Description:</h2> 
<ul>
<li>We are seeking a highly skilled Computer Vision Engineer with hands on experience in developing and deploying deep learning models for real time image and video analytics</li>
<li>The ideal candidate will have a strong background in computer vision deep learning frameworks and edge deployment technologies</li>
<li>Python Pytorch tensorflow</li>
<li>CV ML model development</li>
<li>Object recognition Detection</li>
<li>NVIDIA technologies</li>
<li>MLOps</li></ul> 
<h2 class="jobSectionHeader">
Key Responsibilities:</h2> 
<ul>
<li>Design train and optimize deep learning models for computer vision tasks such as object detection image recognition segmentation and video analytics</li>
<li>Lead large scale real time implementations involving 100 video streams</li>
<li>Fine tune models like CNNs and Vision Transformers using frameworks such as TensorFlow PyTorch and ONNX</li>
<li>Build and deploy inference pipelines using NVIDIA technologies including NGC models TAO Toolkit DeepStream Metropolis and Triton Server</li>
<li>Apply pre and post processing techniques to enhance model performance and evaluation</li>
<li>Develop and implement multi object tracking algorithms across multiple camera feeds</li>
<li>Perform camera calibration and extract regions of interest ROI action recognition using temporal analysis techniques</li>
<li>Develop models for feature extraction and come up with strategies for latent space analysis and manipulation of the data</li>
<li>Proficiency in writing complex SQL queries familiarity with NoSQL or Graph Databases Neo4j is an advantage</li>
<li>Knowledge of infrastructure as code tools e</li>
<li>g</li>
<li>Terraform Ansible is an advantage</li>
<li>Proficiency with containerization technologies Docker and orchestration tools Kubernetes is an advantage</li></ul> 
<h2 class="jobSectionHeader">
Additional Responsibilities:</h2> 
<ul>
<li>Good knowledge on software configuration management systems</li>
<li>Strong business acumen strategy and cross industry thought leadership</li>
<li>Awareness of latest technologies and Industry trends</li>
<li>Logical thinking and problem solving skills along with an ability to collaborate</li>
<li>Two or three industry domain knowledge</li>
<li>Understanding of the financial processes for various types of projects and the various pricing models available</li>
<li>Client Interfacing skills</li>
<li>Knowledge of SDLC and agile methodologies</li>
<li>Project and Team management</li></ul> 
<h2 class="jobSectionHeader">
Preferred Skills:</h2>
Technology-&gt;AI-Data science-&gt;Computer Vision-&gt;Image Video processing,Technology-&gt;AI-Data science-&gt;PYTHON</div>

Computer Vision Engineer

ZIAX

We're Hiring: Computer Vision DeveloperLocation: Mohali (On-site) Experience: 2+ Years Working Days: 5 Days a Week Interview Mode: Face-to-FaceAre you passionate about solving real-world AI challenges? Join our team as a Computer Vision Developer and work on cutting-edge AI solutions that make a real impact.Key Responsibilities &amp; Requirements:<ul><li>2+ years of hands-on experience in Computer Vision</li><li>Strong expertise with YOLO (v5/v7/v8) and object detection models such as SSD, Faster R-CNN, and EfficientDet</li><li>Experience in fine-tuning pre-trained deep learning models</li><li>Hands-on experience with multi-class object detection and classification using a single model</li><li>Strong understanding of data cleaning, preprocessing, and image annotation</li><li>Proficiency in Python, PyTorch, and/or TensorFlow</li><li>Knowledge of model optimization and deployment is an added advantage</li></ul>What We're Looking For:<ul><li>A proactive, detail-oriented professional with excellent problem-solving skills</li><li>Passion for Artificial Intelligence, Computer Vision, and continuous learning</li><li>Ability to work collaboratively in a fast-paced environment</li></ul>Interested candidates can send their updated resume to hr@ziax.ai.#Hiring #ComputerVision #ComputerVisionDeveloper #ArtificialIntelligence #AIJobs #MachineLearning #DeepLearning #YOLO #PyTorch #TensorFlow #Python #OpenCV #ObjectDetection #TechJobs #HiringNow #MohaliJobs #OnsiteJobs #CareerOpportunity #JobsInMohali #Recruitment #ZiaxAIWork Location: In person

UPFRONT

<div>
 
 
 Het project
 
 
 
 Upfront is een van de hardst groeiende bedrijven van Nederland. Van &euro;21M naar &euro;80M omzet in &eacute;&eacute;n jaar, en we openen Foodstores door het hele land. We bouwen een computer vision systeem dat via plafondcamera's klanten, producten en winkelwagens volgt.
 
 
 
 
 
 Het doel: automatisch begrijpen welke producten een klant pakt en een digitaal winkelmandje opbouwen, zonder scanners, RFID of handmatige controles. Jij bouwt dat systeem. En niet alleen het model, maar de data engine eromheen: de feedback loop die het systeem beter maakt naarmate er meer winkels en data bijkomen. Hetzelfde principe waarmee Tesla Autopilot verbeterde, toegepast op onze Foodstore.
 
 
 
 
 
 
 Wat je gaat doen
 
 
 <ul>
 <li>
 Ontwerp en bouw het vision-systeem dat herkent welke producten een klant uit het schap pakt
 </li>
 <li>
 Bouw de data engine: de loop die edge cases detecteert, annoteert en omzet in nieuwe trainingsdata
 </li>
 <li>
 Train, evalueer en deploy modellen die betrouwbaar genoeg zijn om er een betaling aan te koppelen
 </li>
 <li>
 Los de harde vision-problemen op: occlusie, vergelijkbare producten, snelle bewegingen, wisselend licht
 </li>
 <li>
 Optimaliseer inference zodat het systeem real-time draait in de winkel
 </li>
 <li>
 Bepaal de technische richting: modellen, infrastructuur en architectuur.
 </li>
 </ul>
 
 
 
 
 
 Wat we van je verwachten
 
 
 
 E&eacute;n tot vijf jaar ervaring met computer vision, machine learning of deep learning. Je hebt eerder modellen gebouwd, getraind en in productie gedraaid. Je begrijpt object detection en tracking, en weet wat een model betrouwbaar maakt in de echte wereld.
 
 
 
 
 
 Je voelt je thuis over de volle breedte: modelarchitectuur, trainingspipeline en de data-infrastructuur eromheen. Je hoeft geen expert te zijn in alle drie, maar je bent wel bereid de gaten te dichten.
 
 
 
 
 
 De stack:
 
 <ul>
 <li>
 Python
 </li>
 <li>
 PyTorch
 </li>
 <li>
 YOLO / RT-DETR
 </li>
 <li>
 OpenCV
 </li>
 <li>
 Docker
 </li>
 <li>
 Inference optimization
 </li>
 <li>
 Triton inference server
 </li>
 </ul>
 
 
 
 
 
 Wat je krijgt
 
 
 
 Salaris tussen &euro;4.500 en &euro;7.000 bruto per maand, afhankelijk van ervaring. Volledige technische autonomie over een van de belangrijkste projecten binnen Upfront. Werkplek op de Van Nelle Fabriek in Rotterdam.
 
 
 
 
 
 
 Hoe je solliciteert
 
 
 
 Stuur ons je cv en in maximaal tien regels: hoe zou jij een semi-geautomatiseerde annotatie- en hertrainingsloop opzetten voor een vision-systeem in een winkel? Waar zou je beginnen, en wat is de moeilijkste stap? Voeg een link toe naar iets wat je hebt gebouwd.
 
 
 
 
 
 
 Wat echt is wint.
 
 
</div>

Stealth Startup (Deep Defense Tech)

<div>
 
 
 Senior Computer Vision Engineer
 
 
 
 (Aerial Threat Detection, Classification &amp; Tracking)
 
 
 Location: Berlin (Onsite)
 
 
 
 
 
 
 About Us
 
 
 
 We are a defense technology startup based in Berlin, building the next generation defense layer against aerial threats. Our team develops mission-critical systems that combine hardware, software, sensing, and real-time AI to operate reliably in complex real-world environments.
 
 
 Operating in stealth mode, we place strong emphasis on engineering rigor, real-world performance, and defense-grade system reliability.
 
 
 
 
 
 
 Role Overview
 
 
 
 We are seeking a Senior Computer Vision Engineer to design, train, deploy, and continuously improve computer vision models for aerial threat detection, classification, and tracking.
 
 
 This role focuses on real-world vision challenges: detecting small objects at long range, maintaining tracking stability under poor visibility and motion, classifying targets reliably, and deploying performant models on edge compute platforms such as NVIDIA Jetson / Tegra.
 
 
 You will own key parts of the vision model lifecycle, from dataset preparation and augmentation to model development, deployment optimization, field-data error analysis, and iterative improvement. You will work closely with robotics, tracking, and controls engineers to ensure visual perception outputs can be used reliably in real-time system behavior.
 
 
 This is a hands-on, production-oriented role for someone with deep experience building vision systems that work outside controlled lab conditions.
 
 
 This position requires onsite work in Berlin and candidates must be from a NATO member state.
 
 
 
 
 
 
 Key Responsibilities
 
 
 
 
 
 
 
 Computer Vision Model Development
 
 
 <ul>
 <li>
 Design, train, fine-tune, and deploy computer vision models for: Long-range small-object detection, Object classification and identification, Multi-object tracking, Target state estimation support
 </li>
 <li>
 Work with modern vision approaches, including real-time detectors, CNN-based architectures, vision transformers, tracking-by-detection pipelines, or custom models
 </li>
 <li>
 Evaluate trade-offs between detection accuracy, latency, robustness, and compute constraints
 </li>
 <li>
 Develop model pipelines that support continuous improvement from real-world field data
 </li>
 </ul>
 
 
 
 
 
 Real-World Robustness
 
 
 <ul>
 <li>
 Improve model performance under challenging operating conditions, including: Small targets at long range, Motion blur, Low light, glare, and changing illumination, Clouds, rain, fog, and atmospheric effects, Cluttered backgrounds, Camera movement and vibration, IR / thermal imagery artifacts
 </li>
 <li>
 Analyze failure cases and translate them into concrete model, data, and preprocessing improvements
 </li>
 <li>
 Improve classification confidence, tracking stability, and robustness against false positives#
 </li>
 </ul>
 
 
 
 
 
 Dataset Lifecycle &amp; Synthetic Data
 
 
 <ul>
 <li>
 Own key parts of the vision data pipeline, including: Data cleaning, Augmentation strategies, Label quality analysis, Error analysis, Continuous dataset improvement
 </li>
 <li>
 Use synthetic data to improve coverage of rare, difficult, or safety-critical scenarios
 </li>
 <li>
 Collaborate with simulation engineers to align synthetic data generation with real-world failure cases
 </li>
 <li>
 Define metrics and evaluation sets for long-range detection, classification, and tracking performance
 </li>
 </ul>
 
 
 
 
 
 Tracking &amp; Sensor Fusion
 
 
 <ul>
 <li>
 Develop and improve tracking-by-detection and multi-object tracking pipelines
 </li>
 <li>
 Integrate vision outputs into downstream tracking and control systems
 </li>
 <li>
 Work with sensor inputs including: IR / thermal cameras, Laser range finder data
 </li>
 <li>
 Contribute to sensor fusion approaches where visual detections must be combined with additional measurement sources
 </li>
 <li>
 Collaborate with robotics, tracking, and controls engineers to ensure perception outputs are stable, timely, and actionable
 </li>
 </ul>
 
 
 
 
 
 Edge Deployment &amp; Optimization
 
 
 <ul>
 <li>
 Deploy and optimize models on NVIDIA Jetson / Tegra platforms
 </li>
 <li>
 Optimize inference performance using: TensorRT, CUDA
 </li>
 <li>
 Efficient preprocessing pipelines
 </li>
 <li>
 Balance accuracy, latency, memory usage, and thermal constraints
 </li>
 <li>
 Support real-time perception pipelines running on embedded or edge compute hardware
 </li>
 </ul>
 
 
 
 
 
 Required Qualifications
 
 
 <ul>
 <li>
 6+ years of experience in computer vision, applied machine learning, or real-world perception systems
 </li>
 <li>
 Proven hands-on experience building, training, deploying, and maintaining computer vision models
 </li>
 <li>
 Strong experience with object detection, classification, and/or multi-object tracking
 </li>
 <li>
 Experience with real-world image data, including noisy labels, domain shift, sensor artifacts, and difficult edge cases
 </li>
 <li>
 Strong Python skills and experience with deep learning frameworks such as PyTorch or TensorFlow
 </li>
 <li>
 Experience optimizing and deploying models on edge platforms, ideally NVIDIA Jetson / Tegra
 </li>
 <li>
 Experience with inference optimization tools such as TensorRT and/or CUDA
 </li>
 <li>
 Strong analytical skills for error analysis, model evaluation, and performance debugging
 </li>
 <li>
 Ability to work closely with robotics, controls, and systems engineers
 </li>
 <li>
 Onsite availability in Berlin
 </li>
 <li>
 Citizenship of a NATO member state
 </li>
 </ul>
 
 
 
 
 
 Preferred Qualifications
 
 
 <ul>
 <li>
 Background in defense, aerospace, robotics, autonomous systems, or industrial perception
 </li>
 <li>
 Experience with IR / thermal computer vision
 </li>
 <li>
 Experience with long-range small-object detection
 </li>
 <li>
 Experience with sensor fusion involving visual detections and range measurements
 </li>
 <li>
 Experience with synthetic data generation and simulation-driven dataset improvement
 </li>
 <li>
 Experience with tracking filters, tracking-by-detection, or real-time perception-to-control pipelines
 </li>
 <li>
 Strong C++ skills for production integration are a plus
 </li>
 </ul>
 
 
 
 
 
 What We Offer
 
 
 <ul>
 <li>
 Competitive salary
 </li>
 <li>
 VSOP / equity participation
 </li>
 <li>
 Central Berlin office
 </li>
 <li>
 Extreme growth opportunity in a fast-scaling startup
 </li>
 <li>
 Holiday allowance
 </li>
 <li>
 Monthly voucher
 </li>
 <li>
 Public transportation subsidies
 </li>
 </ul>
 
 
 
 
 
 Who You Are
 
 
 <ul>
 <li>
 Real-world focused: You care about models that work in the field, not just on benchmark datasets
 </li>
 <li>
 Data-driven: You analyze failures systematically and improve models through evidence
 </li>
 <li>
 Performance-aware: You understand latency, memory, and edge deployment constraints
 </li>
 <li>
 Robustness-oriented: You think deeply about edge cases, domain shift, and degraded conditions
 </li>
 <li>
 Collaborative: You work effectively with robotics, tracking, and controls engineers
 </li>
 <li>
 Mission-aligned: You understand the responsibility of building perception systems for defense applications
 </li>
 </ul>
 
 
 
</div>

Senior Computer Vision Engineer

ASUS COMPUTER INTERNATIONAL

<div></div><div>Job Description Overview:
The ASUS Robotics &amp; AI Center is seeking a Senior Computer Vision Engineer to join our global research and development team. This role focuses on building the perception systems that allow our UAVs and other autonomous platforms to understand and operate in complex, real-world environments.
We are looking for a hands-on engineer with practical experience taking computer vision algorithms from prototype to production, a strong foundation in 3D geometry and multi-sensor data, and a passion for making the math, the algorithms, and the code work together on real hardware. The ideal candidate thrives at the intersection of computer vision, robotics, and embedded systems, and is motivated by the challenge of delivering robust perception under the constraints of real-world autonomy.
Essential Duties and Responsibilities:
<ul><li>Design, implement, and optimize computer vision algorithms for object detection, tracking, and visual recognition on UAVs and other autonomous platforms.</li><li>
Develop 3D perception capabilities, including visual odometry, depth estimation, structure from motion, and SLAM, to support real-time mapping and navigation.</li><li>
Build sensor fusion pipelines that integrate data from cameras, IMUs, GPS/GNSS, and other onboard sensors to produce accurate, low-latency situational awareness.</li><li>
Optimize algorithms for deployment on resource-constrained edge and embedded compute platforms.</li><li>
Characterize and quantify the performance of perception components through simulation, lab testing, and real-world field testing.</li><li>
Collaborate with robotics, software, and hardware teams to integrate perception components into the broader autonomy stack.</li><li>
Write clean, maintainable, and well-documented source code adhering to modern software development practices.</li><li>
Work in a cross-functional team that takes ownership of the full software lifecycle.</li></ul><div> 
Knowledge and Skills:</div> 
<div></div><ul><li>
Familiarity with classical computer vision techniques and libraries (e.g., OpenCV) and with multi-sensor data integration (e.g., cameras, IMU, GPS/GNSS, LiDAR).</li><li>
Strong fundamentals in linear algebra, probabilistic inference, and 3D geometry.</li><li>
Proficiency in C++ and Python, with a commitment to writing clean, well-architected code.</li><li>
Understanding of software development best practices, including coding standards, code reviews, design patterns, source control management, and test automation.</li><li>
Experience deploying perception software on embedded or edge compute platforms (e.g., NVIDIA Jetson) is strongly preferred.</li><li>
Experience with robotics, autonomous systems, or real-time perception applications is a plus.</li><li>
Familiarity with GPU/CUDA programming for accelerated vision processing is a plus.</li><li>
Flexibility to attend virtual meetings with the Taiwan-based team at least three nights per week.</li><li>
Excellent written and verbal communication skills.</li><li>
Ability to work confidently in a rapidly changing, fast-paced and results-oriented corporate environment where a high degree of flexibility is required</li></ul><div> 
</div>Required Qualifications:
Years of Education
Bachelor's degree or higher in computer science, electrical engineering, robotics, or a related field. 
<ul><li>
</li></ul> 
Work Experience<ul><li>
5+ years of industry experience developing and deploying computer vision or perception software.
</li><li>Hands-on experience with one or more of: visual odometry, SLAM, structure from motion, multi-view geometry, or 3D reconstruction.</li><li>
Practical experience with object detection, tracking, or segmentation, including training and deploying deep learning models using frameworks such as PyTorch or TensorFlow.</li></ul> 
Working Conditions:
<ul><li>Typically working in an office environment</li><li>
This is an IN-OFFICE position in Boston, MA (3 days in office / 2 days work from home)</li><li>
Requires sitting, operating a computer keyboard, telephone and other office equipment for extended periods of time</li><li>
Travel requirements: 10% travel, domestic/international</li></ul><div></div><div> 
$164,000 - $237,000 annually is the estimated pay range for this role working in Boston, Massachusetts office. The final amount will be determined based on qualifications &amp; experience of the candidate relative to the role. Our comprehensive employee benefits include bonuses, medical, dental, vision, life insurance, AD&amp;D insurance, Paid Time Off, EAP, &amp; 401(k). 
 
ASUS is an equal employment opportunity employer. The Company makes employment decisions without regard to race, color, religion, sex, gender, pregnancy/ breastfeeding, medical conditions related to pregnancy or childbirth, sexual orientation, age, national origin or ancestry, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, as well as any other characteristic protected by law, regulation or local ordinance, and strives to comply with all applicable laws on the subject. These employment decisions extend to hiring, placement, promotion, transfer, demotion, layoff, termination, recruitment, pay and other forms of compensation, training and other terms and conditions of employment.</div> 
About the ASUS Robotics &amp; AI Center
The ASUS Robotics &amp; AI Center is a world-class research and development laboratory that was established with the mission of developing ambitious technologies that will define the future. Our multidisciplinary team of the brightest engineers and scientists is dedicated to creating software-focused solutions that will solve some of the most enduring challenges in the fields of robotics and artificial intelligence.
 More About ASUS
ASUS is a global technology leader that provides the world&rsquo;s most innovative and intuitive devices, components, and solutions to deliver incredible experiences that enhance the lives of people everywhere. With its team of 5,000 in-house R&amp;D experts, the company is world-renowned for continuously reimagining today&rsquo;s technologies. Consistently ranked as one of Fortune&rsquo;s World&rsquo;s Most Admired Companies, ASUS is also committed to sustaining an incredible future. The goal is to create a net-zero enterprise that helps drive the shift towards a circular economy, with a responsible supply chain creating shared value for every one of us.</div>

Isarsoft

<div><h4 class="jobSectionHeader">We are Isarsoft</h4>
We make every camera count 
At Isarsoft we develop video analytics software to make transportation and cities more efficient, inclusive and secure. We stand for data protection and responsible processing of sensitive data. Being on the forefront of innovation we work together in interdisciplinary teams in a positive, fun and energetic atmosphere. 
 
Our customers and partners are at the center of everything we do. Founded in 2019 we have grown organically winning large customers and partners delivering compelling, reliable, high-performance software. We are proud of being a privately held company focusing on long-term relations to our customers and team members.<h4 class="jobSectionHeader"> 
Your mission</h4>
As Working Student Software Engineer at Isarsoft you will be at the heart of the research and development. You will be closely working together with our international team including Isarsoft's CTO and Co-Founder. Your responsibilities include researching and developing algorithms for camera calibration, synchronization, and real-time video analytics.<h4 class="jobSectionHeader">
Your profile</h4><ul><li>
Strong Python Skills: You are highly proficient in Python and feel completely comfortable manipulating and analyzing data with libraries like Pandas and NumPy.</li><li>
CV/ML Experience: You have a solid foundational knowledge and hands-on experience in Computer Vision and/or Machine Learning, specifically with PyTorch and OpenCV. (Strong academic experience, such as relevant university lectures, thesis work, or student projects, is absolutely welcome!)</li><li>
Development Fundamentals: You know your way around Linux environments and are comfortable using Git for version control.</li><li>
Modern Coding Practices: You are comfortable and efficient using AI coding assistants (like GitHub Copilot) to optimize your daily work.</li><li>
Passionate about working with talented, motivated professionals
</li><li>Fluent in English</li><li>
Location: You must be currently based in or willing to relocate to the Munich area, as this role requires regular on-site collaboration.</li></ul><h4 class="jobSectionHeader"> 
Additional assets</h4><ul><li>
Familiarity or first touchpoints with VLMs (Vision-Language Models) or LLMs (Large Language Models).</li><li>
Basic knowledge of C++ (e.g., for reading or maintaining existing codebase).</li><li>
Basic understanding of Docker and containerized workflows.</li><li>
Exposure to deployment and optimization tools like ONNX or TensorRT.</li></ul><h4 class="jobSectionHeader">
Benefits</h4><ul><li><div>
An experienced, highly motivated and international team to learn and grow</div></li><li><div>
A high-impact work environment with flat hierarchies and short decision-making processes</div></li><li><div>
Have the flexibility to work from anywhere: A great office in Garching nearby Munich, from home or the English-Garden</div></li><li><div>
Free lunch, coffee and drinks at our office</div></li></ul><div>
Sounds good? We are just getting started. Let's build a great company together.</div><h4 class="jobSectionHeader"> 
Hiring Process</h4>
We are committed to a transparent and fair hiring process. We aim for concluding the interview process in no longer than 3 weeks. 
 
There are two stages for a Working Student position at Isarsoft. 
<ul><li>
Video Interview with HR</li><li>
Technical Deep Dive</li></ul>
We deeply believe that a great product only can be build by a great team. That's why sharing our values, being a team-player and having a energetic attitude is as important as bringing the right technical skills.<h4 class="jobSectionHeader">
About us</h4>
Learn more about Isarsoft
 
www.isarsoft.com 
 
Follow us on social media 
LinkedIn | YouTube | Twitter 
 
Fun fact: Isar is the river flowing through the heart of Munich contributing to making it one of the most liveable cities in the world. Isarsoft Perception provides people-, and traffic flow analytics to enhance mobility, safety and live in cities across the globe. 
 
Let's make every camera count!</div>

Working Student Computer Vision Engineer

ALMETRA

<div>We&rsquo;re looking for a Computer Vision Engineer focused on bringing advanced vision models into production. You&rsquo;ll own the full lifecycle of CV systems &mdash; from model integration and orchestration to deployment on cloud and edge environments.<h2 class="jobSectionHeader"> 
Your role</h2><ul><li>
Develop and deploy computer vision models for real-world video and sensor applications</li><li>
Build reliable training, evaluation and inference pipelines for large-scale data</li><li>
Operate and optimise GPU clusters, Docker/Kubernetes environments and cloud workloads</li><li>
Implement CI/CD, versioning and orchestration for ML pipelines</li><li>
Collaborate with research engineers to transition prototypes into scalable, production-grade systems</li><li>
Work with robotics and platform teams to ensure robust deployment at the edge</li></ul><h2 class="jobSectionHeader">
You are</h2><ul><li>
5&ndash;7 years experience in computer vision, ML engineering or production AI systems</li><li>
Strong in Python, PyTorch and modern CV architectures (e.g. temporal transformers, detection, tracking)</li><li>
Experienced with containerisation and orchestration (Docker, Kubernetes, MLFlow, Airflow, etc.)</li><li>
Familiar with distributed training, GPU management and inference optimisation</li><li>
Solid understanding of cloud infrastructure (AWS or similar) and MLOps tooling</li><li>
Pragmatic engineer &mdash; focused on reliability, reproducibility and maintainability</li></ul><h2 class="jobSectionHeader">
Nice to have</h2><ul><li>
Experience deploying CV models on edge devices or embedded systems</li><li>
Familiarity with TensorRT, quantisation, and real-time inference optimisation</li><li>
Background in video analytics, action recognition or multi-modal perception</li><li>
Understanding of model orchestration frameworks and large data pipelines</li></ul><h2 class="jobSectionHeader"> 
Why this role matters</h2> 
You bridge research and production &mdash; turning cutting-edge computer vision models into robust, real-time systems that power intelligent industrial automation.
What we offer
Employee Share Options Program for all permanent employees*
An increasing benefits list: currently includes Urban Sports club and quarterly team retreats.
Be on the forefront in defining what artificial intelligence means in manufacturing
Gain hands-on experience in working in an AI-first software company
Supportive and inclusive culture that values diversity and promotes the advancement of underrepresented groups within the company
Collaborate with a diverse (currently more than 10 nationalities) and talented team, working on cutting-edge projects with real-world impact
Network with professionals and leaders in the field, opening doors to potential future career opportunities
We have a very flat hierarchy, open 360&deg; feedback, and flexible working hours
Ethics: We are committed to developing ethical AI software 
 
Don't meet all the requirements?
Almetra is committed to creating a workplace that is diverse, fair, and inclusive. We encourage candidates from all backgrounds, even if they do not meet every qualification, to submit their application. We firmly believe that having a team with diverse perspectives only strengthens our company and drives innovation. Our commitment also extends to providing an accessible environment for everyone, including those with disabilities. Please let us know if you require any accommodations during the application process or while working with us, and we will do our best to support you.<ul><li> 
Only full-time, permanent roles are eligible for stock options. Part-time roles, contract roles, work-student, internships and freelance roles are not eligible for stock options.</li></ul>
Compensation Range: &euro;80K - &euro;120K</div>

Senior Computer Vision Engineer (m/f/d)

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