Mlops Principal Engineer
| Company | IDEXX |
|---|---|
| Location | Portland, ME, USA |
| Salary | $Not Provided – $Not Provided |
| Type | Full-Time |
| Degrees | Master’s |
| Experience Level | Senior, Expert or higher |
Requirements
- Masters degree in Computer Science, Data Science, Information Technology, or IT and Computing, or a related field
- 3 years of related experience, focusing on MLOps and productionizing ML models
- Experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn
- Proficiencies in Python and R
- Cloud computing platform experience with AWS
- Containerization technologies including Docker and Kubernetes
- Automation tools including CloudFormation, Github Actions and Terraform
- API frameworks including Plumber, Flask, and FastAPI
- Data processing frameworks which include Apache Spark (including pyspark and sparklyr), Hadoop, and Databricks used with large-scale, real-world datasets.
Responsibilities
- Designing and implementing machine learning infrastructure and pipelines for the Clinical Informatics Data Science team
- Integrating machine learning models into production systems
- Developing and maintaining automated testing, monitoring, and reporting processes for machine learning models and infrastructure
- Developing, implementing, and optimizing data preprocessing and feature engineering pipelines
- Collaborating with stakeholders across the organization to ensure compliance with relevant data privacy and security regulations
- Developing and implementing best practices for machine learning development, deployment, and maintenance
- Mentoring and training other members of the team in machine learning and MLOps best practices.
Preferred Qualifications
-
No preferred qualifications provided.