Senior Software Engineer - Data and Machine Learning

Want to play a key role in developing Software, Data and Machine Learning solutions that enable Medical Insights using the latest technologies, and contributing to improvements in Pet Health? Do you want to be part of a high functioning Team with a strong business partnership and a drive for doing great work?  
 
The Data and AI Center of Excellence (DAICOE) Team would like to meet you! 

This role can be Virtual USA or hybrid in our Westbrook office. If virtual, you must be able to work EST hours.
 
IDEXX is seeking a Senior Software/Data/ML Engineer to design, build and manage data pipelines and integrations, machine learning and rules-based classification and applications in support of high impact clinical insights initiatives. You will join a team of talented software, data and ML engineers, collaborating with data scientists, driving innovation in veterinary care. This is an exciting role that will interact with IDEXX’s core clinical data assets. If you enjoy complex software and data engineering challenges, consider this role! 

In this Role: 

• You will be a senior member of a highly effective Agile Scrum team delivering industry leading capabilities, participating in business planning and technical strategy. 

• Innovate in technology, team process and development practices.  

• Our team practices Scrum development, and interacts with other Agile development frameworks, so experience and desire to work in Agile teams is a must!  

• You will work with a close-knit team of Developers, Data QA Engineers, MLOps, DevOps, Product Owners, and Scrum Masters in a variety of remote locations - excellent communication, collaboration and interpersonal skills are important for team success. 

• You will have the support to learn new skills, access to a network of professionals, and exchange knowledge with peers through mentorship and coaching opportunities. 

 
What you need to succeed: 

• Proficiency with Software Design 

• Proficiency with one or more major cloud providers (AWS preferred) 

• Proficiency with AWS Services (API Gateway, AWS Lambda, SQS, S3) 

• Proficiency with Github and experience with Github Actions 

• Proficiency with Programming Languages (Python, PySpark, Java) 

• Proficiency with relational databases (AWS MySQL Aurora) 

• Proficiency building and deploying web applications and APIs 

• Experience with Databricks 

• Experience with Tensorflow & PyTorch 

• Experience with Containerization (e.g., Docker) 

• Experience building large scale data pipelines 

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