# Senior Computer Vision Engineer Source: https://realanalystjobs.com/job/senior-computer-vision-engineer-faktion-bv-e9df467d Senior Computer Vision Engineer at Faktion BV, an on-site role based in Antwerp, Belgium. Posted on 24 August 2026, read from Faktion BV's own careers page (Recruitee), which RealAnalystJobs re-checks daily and removes the role when it closes. Updated 15 November 2026. ## Key facts - Company: [Faktion BV](https://realanalystjobs.com/companies/faktion) - Location: Antwerp, Belgium - Work mode: On-site - Posted: Aug 24, 2026 - Employment type: Full time - Source: Faktion BV's careers page (Recruitee), re-checked daily Skills: [Python](https://realanalystjobs.com/skills/python), AWS, Azure ## About this role As a Senior Computer Vision Engineer at Faktion, you will design, build, and deploy computer vision systems that solve real-world problems for our customers. The role combines hands-on machine learning with strong software engineering and MLOps practices. You will work across the full lifecycle of a machine learning system: exploring and improving datasets, developing and evaluating models, building training and inference pipelines, deploying models to production, and investigating performance issues once they are running in the field. A significant part of the role focuses on computer vision for industrial applications , including object detection, image classification, multispectral imagery, and real-time inference. You will also contribute to the platforms and tooling that allow our engineers to train, evaluate, deploy, and maintain machine learning models efficiently at scale. Key responsibilities • Develop, train, evaluate, and maintain deep learning models for computer vision tasks such as object detection and image classification . • Build and maintain training and inference pipelines , primarily using Azure Machine Learning. • Build data pipelines for processing large image datasets, including multispectral and other multi-channel imagery . • Explore and visualize datasets to identify data quality issues, distribution shifts, labeling inconsistencies, and other factors that may affect model performance . • Help define data collection, annotation, preprocessing, feature engineering, and augmentation strategies. • Work with annotation teams to define clear labeling guidelines and ensure training data is consistent and usable. • Train and deploy models that solve real-world problems on industrial machines and production systems . • Optimize models for the latency, throughput, memory, and hardware constraints of production environments. • Debug model, data, and pipeline issues in production and design strategies to improve performance. • Define appropriate validation strategies, evaluation metrics, and test datasets for machine learning systems. • Perform model error analysis and translate findings into improvements in data, modeling, or system design. • Prototype and evaluate new architectures, algorithms, and modeling approaches before integrating them into production. • Improve our shared ML platform and tooling, including internal SDKs, data schemas, training pipelines, deployment tooling, and CI/CD . • Review pull requests and help maintain strong engineering, testing, documentation, and code quality standards across the ML codebase. • Collaborate with machine learning engineers, software engineers, data engineers, and customer teams to design and deliver production-ready solutions. • Stay up to date with relevant developments in computer vision, deep learning, and MLOps and assess where new approaches can provide practical value. • Master's degree or PhD in Computer Science, Artificial Intelligence, Machine Learning , or a related field, or equivalent professional experience. • Several years of professional experience building machine learning systems, with a strong focus on computer vision and deep learning . • Strong Python programming skills. • Hands-on experience with PyTorch and/or TensorFlow . • Solid understanding of object detection and image classification, including model architectures, loss functions, augmentation strategies, training techniques, and evaluation metrics . • Experience working with common computer vision tooling and frameworks such as OpenCV, YOLO-based architectures, MMDetection, or similar ecosystems . • Experience building and debugging machine learning pipelines and models in production . • Experience with a cloud ML platform such as Azure Machine Learning, AWS SageMaker, or Google Vertex AI . Experience with Azure is a strong plus. • Familiarity with Docker, CI/CD, automated testing, versioning, monitoring, and other software engineering practices for production ML systems. • Experience optimizing models for real-time or high-throughput inference , ideally on edge devices or production hardware. • Strong analytical and problem-solving skills, particularly when investigating complex interactions between data, models, and production systems. • Comfortable taking ownership of shared code, tooling, and systems used by other engineers. • Strong communication skills and the ability to collaborate effectively with both technical and non-technical stakeholders. Nice to have: • Experience building or maintaining MLOps platforms or shared ML infrastructure . • Experience with multispectral, hyperspectral, or other non-standard imaging modalities . • Experience deploying computer vision models on edge devices, embedded hardware, GPUs, or industrial machines . • Experience with model optimization techniques such as quantization, pruning, compilation, or hardware-specific inference runtimes. • Experience designing or managing large-scale image annotation and dataset curation workflows . • Proven experience developing and deploying scalable machine learning systems. • Experience mentoring engineers, reviewing technical designs, or leading technical initiatives. • Publications or research experience in relevant AI/ML fields. • Experience in one or more of our focus domains, such as manufacturing, retail, data quality, finance, or generative AI . We offer: • A rewarding salary package that includes additional perks like a company car and fuel card or a mobility budget, comprehensive hospitalization and group insurance, along with a top-tier laptop and smartphone. • Benefit from a company culture that stimulates both individual and team development, fostering your professional growth. • Utilize your innovation budget for engaging in exciting, educational, and challenging open-source projects within your guild. • Participate in (virtual) team-building activities and gatherings, a great opportunity to unwind and engage Description from Faktion BV's public careers feed, reproduced so you can read the role here. Apply on the company's own site; Real Analyst Jobs never submits anything for you. ## How to apply Open [this role on Real Analyst Jobs](https://realanalystjobs.com/job/senior-computer-vision-engineer-faktion-bv-e9df467d) and use Apply now there to reach the employer's application. The listing is re-checked against Faktion BV's careers page daily and removed when it closes. ## Faktion BV Analyst roles on Real Analyst Jobs. [More roles at Faktion BV](https://realanalystjobs.com/companies/faktion) ## More like this - [Analyst job market report](https://realanalystjobs.com/analyst-job-market) - [What analyst roles pay](https://realanalystjobs.com/blog/data-analyst-salaries) ## Sources and links - [This role on Real Analyst Jobs](https://realanalystjobs.com/job/senior-computer-vision-engineer-faktion-bv-e9df467d) - [Faktion BV on Real Analyst Jobs](https://realanalystjobs.com/companies/faktion) - [All analyst jobs](https://realanalystjobs.com/jobs)