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