Senior Machine Learning Engineer

IDEXX • Westbrook, ME

2d • Hybrid

About The Position

IDEXX's Data & AI Center of Excellence is seeking an experienced Senior Machine Learning Engineer to join our AI Enablement Team. This role will focus on Engineering and Development activities in partnership with the Clinical and Generative AI Team. This is a hybrid role and will require you to be in the office 2 days per week in Westbrook, Maine. As a Senior Machine Learning Engineer, you will be responsible for the design, development, and implementation of machine learning systems for Clinical and Generative AI solutions You will work at the intersection of Data Science, Machine Learning, and Software Engineering — developing, deploying, and maintaining machine learning model pipelines and systems that drive our products and services. Your role will involve hands-on engineering, technical contribution, and close collaboration with cross-functional teams. IDEXX Data and AI Center of Excellence (COE) develops and delivers data and AI assets and solutions to enhance IDEXX products, services, internal operations, and business practices. It is a large team of talented engineers, architects, data scientists, and analysts driving cutting-edge AI innovation in veterinary care. We create solutions that will shape the technological landscape of IDEXX as it builds innovative products and services for customers and employees. In This Role… Machine Learning Engineering Develop and implement scalable software and infrastructure solutions in support of model training, development, and production inference. Collaborate with Product Teams and Data Scientists to analyze and clarify requirements, translating them into robust technical solutions. Contribute to the scalability, performance, and reliability of applications, training, and inference workflows. Design and implement data pipelines to support machine learning workflows. Participate in code reviews to ensure high-quality code and adherence to best practices in machine learning and software engineering. Apply software design patterns and contribute to architectural discussions. Demonstrate initiative by identifying and applying innovative approaches to a variety of ML engineering challenges. Collaboration and Development Contribute to the design and development of an AI Development Platform, supporting the adoption of AI capabilities throughout the enterprise. Work closely with Data Engineering and DevOps to build robust processing workflows and pipelines. Partner with technical product management and engineering teams to identify reusable datasets, design patterns, components, libraries, and infrastructure that optimize costs and enable cross-functional solutions. Balance cost, time, and technical capabilities when implementing solutions that meet stakeholder requirements. Mentorship and Teamwork Share knowledge and provide technical guidance to junior team members, contributing to a culture of learning and continuous improvement. Contribute to team initiatives and drive assigned workstreams to successful and timely completion. Operate with a high degree of independence on well-defined problems while escalating ambiguous or high-impact decisions appropriately.

Requirements

• Strong programming skills in Python, with proficiency in additional languages.
• Solid experience designing and building scalable data processing and ML applications.
• Sound software engineering practices, including test-driven development and CI/CD.
• Strong understanding of AI/ML concepts and hands-on experience deploying models in production environments.
• Familiarity with ML tech stacks such as Databricks, Delta Tables, AWS (EC2, S3, SageMaker), and containerization tools like Docker.
• Working knowledge of data engineering (SQL, NoSQL, Big Data), cloud architecture, Agile methodologies, and MLOps/ModelOps practices.
• Experience with DevOps practices and designing resilient, scalable data systems.
• Strong analytical and problem-solving skills, with the ability to adapt to evolving technologies.
• Good communication skills to collaborate effectively with data scientists, engineers, and stakeholders.

Responsibilities

• Develop and implement scalable software and infrastructure solutions in support of model training, development, and production inference.
• Collaborate with Product Teams and Data Scientists to analyze and clarify requirements, translating them into robust technical solutions.
• Contribute to the scalability, performance, and reliability of applications, training, and inference workflows.
• Design and implement data pipelines to support machine learning workflows.
• Participate in code reviews to ensure high-quality code and adherence to best practices in machine learning and software engineering.
• Apply software design patterns and contribute to architectural discussions.
• Demonstrate initiative by identifying and applying innovative approaches to a variety of ML engineering challenges.
• Contribute to the design and development of an AI Development Platform, supporting the adoption of AI capabilities throughout the enterprise.
• Work closely with Data Engineering and DevOps to build robust processing workflows and pipelines.
• Partner with technical product management and engineering teams to identify reusable datasets, design patterns, components, libraries, and infrastructure that optimize costs and enable cross-functional solutions.
• Balance cost, time, and technical capabilities when implementing solutions that meet stakeholder requirements.
• Share knowledge and provide technical guidance to junior team members, contributing to a culture of learning and continuous improvement.
• Contribute to team initiatives and drive assigned workstreams to successful and timely completion.
• Operate with a high degree of independence on well-defined problems while escalating ambiguous or high-impact decisions appropriately.

Benefits

• Competitive Salary
• Opportunity for annual cash bonus
• Health / Dental / Vision Benefits
• Day-One 5% matching 401k
• Additional benefits including but not limited to financial support, pet insurance, mental health resources, volunteer paid days off, and much more

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed