Lead Data Scientist – Machine Learning Computer Vision

As a Lead Data Scientist , you will guide a team of high-performing computer vision data scientists in developing innovative veterinary clinical instrument platforms.

This role requires a balance of leadership, technical expertise, and hands-on contribution. You will collaborate with clinical, technical, and business experts to deliver innovative embedded computer vision solutions.

Unfortunately, we are unable to provide sponsorship for this role.

Department :

IDEXX Data and AI Centre of Excellence develops and delivers data and AI assets and solutions to enhance IDEXX R&D, products, software, services, internal operations, and business practices.

You can find out more about the latest product developed in collaboration with AI / ML CoE here -

In this role :

You will lead a team of 3-4 computer vision data scientists, providing mentorship, guidance, and technical expertise to drive project success and career development.

You will collaborate closely with cross-functional teams, including engineering, clinical experts, product management, and business stakeholders, to define and prioritize computer vision initiatives aligned with business objectives.

You will develop and implement strategies to enhance the team's capabilities in computer vision, deep learning, and related technologies, ensuring continuous improvement and innovation.

You will drive the research, development, and implementation of state-of-the-art computer vision algorithms and techniques to solve complex problems and deliver impactful solutions.

You will lead by example by contributing hands-on to projects, including coding, model development, experimentation, and validation.

You will establish best practices, standards, and processes for computer vision projects to ensure scalability, reliability, and efficiency.

You will stay abreast of the latest advancements and trends in computer vision, machine learning, and related fields and incorporate relevant technologies and methodologies into the team's work.

What you need to succeed :

You have a degree in Computer Science, Electrical Engineering, or a related field.

You have proven experience leading and managing teams of data scientists with a focus on computer vision.

You are proficient in Python programming and deep learning frameworks like PyTorch.

You have demonstrated expertise in designing, training, and deploying convolutional neural networks (CNNs) for various computer vision tasks.

You have experience developing machine learning computer vision solutions for embedded devices and NVIDIA GPUs.

You have a track record of successfully delivering vision projects from ideation to deployment in a production environment.

You have experience with cloud platforms, particularly AWS, for data processing, storage, and deployment.

Your experience using Databricks for scalable data engineering and machine learning workflows will be a plus.

You have strong communication skills and can effectively collaborate with diverse teams and stakeholders.

You have strong problem-solving abilities and a passion for tackling complex technical challenges in computer vision.

Your familiarity with microscopy, digital cytology, or digital pathology will serve you a great advantage.

Your experience using Databricks will be a plus.

Why IDEXX :

We’re proud of the work we do because our work matters. An innovation expert in every industry we serve, we follow our Purpose and Core Values to help pet owners worldwide keep their companion animals healthy and happy, to ensure safe drinking water for billions, and to help farmers protect livestock and poultry from disease.

We have customers in over 175 countries and over 10,000 talented employees globally.

So, what does that mean for you? We enrich the livelihoods of our employees with a positive and respectful work culture that encourages learning and discovery.

At IDEXX, you will be motivated by generous compensation, incentives, and benefits while enjoying purposeful work that drives improvement.

Let’s pursue what matters together.

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