CV /IA engineer

Responsibilities

• Develop and implement computer vision models using PyTorch and TensorFlow.

• Collaborate with various teams to support the doubled haploid biotechnology group.

• Design and deliver deep learning-based models for microscopy and macroscopic assays.

• Ensure models meet measurable accuracy, robustness, and throughput standards.

• Build and maintain production-ready pipelines in Python for data ingest, preprocessing, augmentation, inference, and batch processing.

• Integrate pipelines with GitLab repositories and experiment tracking systems.

• Participate in code reviews and provide technical feedback.

• Essential Skills

• 2-6 years of experience in computer vision development using PyTorch or TensorFlow.

• Strong foundational skills in computer vision.

• Proficiency in Python for building production-ready pipelines.

• Experience with CI/CD processes.

• Excellent communication skills with both technical and non-technical stakeholders.

• Leadership skills to independently push projects forward.

• Additional Skills & Qualifications

• Experience with hyperspectral cameras.

• Familiarity with Vision Transformers (ViT) and modern YOLO workflows.

• Experience optimizing inference with tools like torch.compile and mixed precision.

• Ability to scale batch workflows.

• Domain familiarity with biotechnology breeding workflows.

• Ability to collaborate with discovery and strategy teams across biology, engineering, and data science