Über
We are seeking a
Senior Machine Learning Engineer
to join our forward-thinking team building the next generation of
Intelligent Transportation Systems . In this role, you will design, develop, and deploy state-of-the-art computer vision models
that power scalable, real-world solutions. You'll work with large-scale image and video data, building and optimizing production-grade vision systems while contributing clean, and modular code to shared repositories.
As part of our AI team, you'll collaborate closely with engineering teams to deliver high-impact features for our growing SaaS platform. The ideal candidate brings hands-on experience deploying computer vision models in production and applying MLOps best practices on cloud platforms.
Responsibilities
Design, train, and fine-tune
Computer Vision and Deep Learning models
for tasks such as image classification, object detection, object tracking, and OCR. Preprocess and prepare image and video datasets , including data augmentation, labeling strategies, normalization, and feature extraction. Contribute to our machine learning repositories , extending CNN- and transformer-based pipelines. Optimize models for performance, scalability, and real-time inference across edge and cloud environments. Implement MLOps best practices to train, evaluate, deploy, and monitor production-grade computer vision models, emphasizing clean, modular, and well-documented code. Collaborate with cross-functional teams to integrate computer vision solutions into end-to-end products and platforms. Stay up to date with the latest research and industry, applying new techniques to improve model accuracy and efficiency. This list of responsibilities might not cover everything you'll end up doing.
Qualifications
5+ years of experience in machine learning, with a strong focus on
computer vision . Bachelor's (Master's preferred) in Computer Science, Machine Learning, or related field. Strong expertise in computer vision architectures (CNNs, Vision Transformers) and image processing frameworks such as OpenCV and PIL. Proficiency in Python and deep learning frameworks such as
PyTorch
and TensorFlow. Hands-on experience with MLOps tools
(MLflow, Kubeflow, Docker, Kubernetes) for model deployment and lifecycle management. Strong communication skills, problem-solving mindset, and passion for continuous learning Benefits
We offer a Total Rewards plan designed with you and your family's health and wellness in mind that includes:
Paid days off (i.e. vacation, sick days, bereavement leave) Health and Dental plans Retirement plans Employee and Family Assistance Program (EFAP) Employee referral program
We welcome applicants from all backgrounds, regardless of race, color, religion, sex, veteran status, sexual orientation, gender identity, national origin, age, or disability or any other protected characteristics in accordance with applicable federal, state/provincial, and local laws. We're committed to creating a workplace where everyone feels valued and respected.
We appreciate all responses and will acknowledge only those being considered for an interview.
We respectfully request no calls or unsolicited resumes from Agencies.
Sprachkenntnisse
- English
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