Machine Learning Engineer supporting the Enterprise Machine Learning team in developing advanced solutions. Collaborating with stakeholders and driving data science initiatives in a hybrid work environment.
About the role
- Senior Machine Learning Engineer developing AI solutions for IDEXX's Data & AI Center of Excellence. Designing and implementing machine learning models and systems while collaborating with cross-functional teams.
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.
- 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.
Benefits
- 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
Job title
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