This list contains only the countries for which job offers have been published in the selected language (e.g., in the French version, only job offers written in French are displayed, and in the English version, only those in English).
We are looking for a seasoned, hands-on Software Engineer with deep expertise in Computer Vision and Machine Learning. This isn't just a coding role; you will be the primary ML expert on client projects, acting as a technical consultant and a lead developer. You'll join a small, high-performance team, take ownership of building ML-powered products from concept to scale, and directly influence our clients' success.
Job Responsibility:
Lead Technical Development: Design, build, and deploy production-ready computer vision solutions for real-world applications like object detection, image segmentation, and theft detection
Own the ML Lifecycle: Take full ownership of the end-to-end ML pipeline, including data annotation workflows (e.g., CVAT), model training, optimization (quantization, pruning), and deployment on cloud infrastructure
Drive Architectural Decisions: Actively participate in and influence architectural and technological choices for new and existing ML-powered software projects
Collaborate and Guide: Work within a distributed team (Münster, Hamburg, Mannheim, Valencia), provide technical guidance, conduct code reviews, and champion best practices
Act as a Client Partner: Communicate directly with client CTOs and stakeholders. You'll provide status updates, estimate development tasks, and help manage project scope and timelines
Requirements:
4+ years of professional experience building ML/CV applications in Python
Proven expertise in Computer Vision: Demonstrable experience with object detection, image segmentation, or related tasks in a production environment
Deep Learning Proficiency: Hands-on experience with modern frameworks like PyTorch or TensorFlow
CV Toolkit: Strong skills with libraries such as OpenCV, scikit-image, or similar
Technical Leadership: Experience leading at least one major ML/CV project from initial concept to successful production deployment
Model Optimization: Practical knowledge of techniques like quantization, pruning, or knowledge distillation to make models efficient
Pragmatic Mindset: An analytical, MVP-focused approach to problem-solving, with a focus on delivering value quickly
Excellent Communication: Fluent in English, with the ability to provide constructive feedback to teammates and communicate clearly with clients
Location: Ability to work from our Mannheim or Valencia office in a hybrid model
Nice to have:
Experience deploying ML models on cloud platforms (AWS, GCP, or Azure)
Familiarity with MLOps tools like MLflow or Weights & Biases
Experience or side projects involving Generative AI
An entrepreneurial spirit and a passion for learning new technologies
What we offer:
High Impact: You won't be a small cog in a big machine. You will own projects, see your work go live, and make a tangible impact on our clients' businesses
Growth & Learning: You'll be exposed to a variety of projects across different industries, ensuring you're always learning and tackling new challenges
A Culture of Trust & Ownership: We hire smart people and trust them. You'll have the autonomy to make decisions and manage your work independently
Diverse & Inclusive Team: We are committed to building a diverse team. We welcome people who are like us and people who are unlike us. This includes but is not limited to gender, ethnicity, age, academic background, and character
Welcome to CrawlJobs.com – Your Global Job Discovery Platform
At CrawlJobs.com, we simplify finding your next career opportunity by bringing job listings directly to you from all corners of the web. Using cutting-edge AI and web-crawling technologies, we gather and curate job offers from various sources across the globe, ensuring you have access to the most up-to-date job listings in one place.
We use cookies to enhance your experience, analyze traffic, and serve personalized content. By clicking “Accept”, you agree to the use of cookies.