Machine Learning Engineer

About the role

IDEXX's Data & AI Center of Excellence is seeking a Machine Learning Engineer to join our AI Enablement Team. This role focuses on engineering and development activities in partnership with the Clinical and Generative AI Team. This is a hybrid role, requiring 2 days per week and 8 days per month in our Westbrook, ME office.

Responsibilities

• Build and maintain scalable infrastructure and pipelines supporting model deployment and production inference (not model development itself).
• Collaborate with Data Scientists and Product Teams to translate model outputs into robust, production-ready services.
• Support the scalability, performance, and reliability of inference workflows.
• Design and implement data pipelines that support ML enablement workflows.
• Participate in code reviews to ensure quality and adherence to engineering best practices.
• Apply established software design patterns; contribute to architectural discussions.
• Identify and apply practical improvements to ML enablement processes.

Requirements

• 3-5 years of experience in a machine learning engineering or related role.
• Solid programming skills in Python; familiarity with additional languages a plus.
• Experience building scalable data processing and ML-enabling applications.
• Basic knowledge of Spark for data processing.
• Understanding of sound software engineering practices, including testing and CI/CD.
• Familiarity with AI/ML concepts, with some hands-on experience supporting models in production environments.
• Familiarity with ML tech stacks such as Databricks, Delta Tables, AWS (EC2, S3, SageMaker), and containerization tools like Docker.
• Basic knowledge of data engineering (SQL, NoSQL, Big Data), cloud architecture, and Agile methodologies.
• Good analytical and problem-solving skills, adaptable to evolving technologies.
• Good communication skills to collaborate with data scientists, engineers, and stakeholders.

Qualifications

• Good analytical and problem-solving skills, adaptable to evolving technologies.
• Good communication skills to collaborate with data scientists, engineers, and stakeholders.

Skills

• Python programming skills.
• Experience with Spark for data processing.
• Knowledge of ML tech stacks such as Databricks, Delta Tables, AWS (EC2, S3, SageMaker), and containerization tools like Docker.
• Basic knowledge of data engineering (SQL, NoSQL, Big Data), cloud architecture, and Agile methodologies.

Benefits

• Day-One 5% matching 401k
• Additional benefits including but not limited to financial support, pet insurance, mental health resources, volunteer paid days off, employee stock program, foundation donation matching, and much more

Pay

Base salary range starting at $115,000 based on experience.

Schedule

This is a hybrid role, requiring 2 days per week and 8 days per month in our Westbrook, ME office.