Senior Data Scientist

As a Senior Computer Vision / ML Engineer, you will develop and implement

computer vision and machine learning algorithms that operate on large-scale real-world

video data.

The role combines algorithm development and software engineering, with approximately

equal focus on building high-performing models and turning them into robust,

production-quality solutions.

You will work independently, take ownership of your tasks and outcomes, and collaborate

closely with other R&D teams to integrate your algorithms into FarmSee's production

systems.

What You'll Do

● Develop and implement computer vision and deep learning algorithms for detection,

segmentation, tracking, and re-identification.

● Research, prototype, evaluate, and improve machine learning approaches using

real-world datasets.

● Develop high-quality Python code for both algorithmic development and production

environments.

● Design experiments, evaluate model performance, analyze failures, and continuously

improve algorithm accuracy and robustness.

● Define and support data collection and annotation processes required for model

development and validation.

● Optimize models and inference pipelines for performance and scalability.

● Collaborate with backend, infrastructure, QA, and other R&D teams to integrate

algorithms into production systems.

● Use modern AI-assisted development tools such as Codex, Claude Code, Cursor, or

equivalent as an integral part of day-to-day development, debugging, testing, and

code improvement.

● Stay current with relevant developments in computer vision, deep learning, and

AI-assisted software development.

Requirements

● Bachelor's degree in Computer Science, Electrical Engineering, or a related technical

field.

● At least 5 years of hands-on professional experience in Computer Vision, Machine

Learning, and Deep Learning.

● Strong practical experience with image segmentation, multi-object tracking, and

visual re-identification (metric learning), as well as ML for tabular data.

● Strong understanding of classical image processing and computer vision techniques.

● Strong Python programming skills.

● Strong experience with PyTorch or other major deep learning frameworks.

● Solid understanding of batching, caching, numerical precision, and memory

optimization for model deployment.

● Ability to write clean, maintainable, production-quality Python code.

● Strong understanding of object-oriented programming, software design principles,

design patterns, testing, and software development best practices.

● Proven ability to work independently with minimal supervision and take full ownership

of assigned tasks and outcomes.

● Practical experience using modern AI coding tools such as Codex, Claude Code,

Cursor, or equivalent.

● Strong analytical and problem-solving skills.

● Good communication and collaboration skills.

Advantage

● Experience optimizing deep learning models for inference.

● Experience with TensorRT.

● Experience with NVIDIA Triton Inference Server.

● Experience profiling and optimizing GPU-based workloads.