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MLOps Principal Engineer

extra holidays - extra parental leave - fully flexible
Remote: 
Full Remote
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Offer summary

Qualifications:

Masters degree in Computer Science, Data Science, Information Technology, or a related field., 3 years of experience in MLOps and productionizing ML models., Proficiency in Python and R, and experience with machine learning frameworks like TensorFlow and PyTorch., Familiarity with cloud platforms (AWS), containerization (Docker, Kubernetes), and data processing frameworks (Apache Spark, Hadoop)..

Key responsabilities:

  • Lead the implementation and maintenance of machine learning infrastructure and operational processes.
  • Design and implement machine learning pipelines for the Clinical Informatics Data Science team.
  • Collaborate with stakeholders to ensure compliance with data privacy and security regulations.
  • Mentor and train team members in machine learning and MLOps best practices.

Idexx logo
Idexx Large http://www.idexx.com
10001 Employees
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Job description

IDEXX Laboratories, Inc. seeks a MLOps Principal Engineer in Westbrook, ME (telecommuting permitted in fully remote role) to lead the implementation and maintenance of machine learning infrastructure and operational processes and work closely with data scientists, software engineers, and other stakeholders to design, build, and deploy scalable machine learning models and tools for healthcare applications. The Machine Learning Operations team supports all projects in the Center of Excellence, and this position contributes to high-impact problems. This position develops and implement techniques and analytics applications to transform raw data into meaningful information using data-oriented programming languages and visualization software and applies machine learning to extract and analyze information from large structured and unstructured datasets. Specific core duties include 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; and mentoring and training other members of the team in machine learning and MLOps best practices. The minimum requirements for this position are a Masters degree in Computer Science, Data Science, Information Technology, or IT and Computing, or a related field and 3 years of related experience, focusing on MLOps and productionizing ML models; experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn; and the following proficiencies and skills: 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, and data processing frameworks which include Apache Spark (including pyspark and sparklyr), Hadoop, and Databricks used with large-scale, real-world datasets. The position is based at IDEXX Laboratories’ office in Westbrook, ME. This position is eligible for IDEXX’s Employee Referral Program.

IDEXX values a diverse workforce and workplace and strongly encourages women, people of color, LGBTQ+ individuals, people with disabilities, members of ethnic minorities, foreign-born residents, and veterans to apply.  

IDEXX is an equal opportunity employer. Applicants will not be discriminated against because of race, color, creed, sex, sexual orientation, gender identity or expression, age, religion, national origin, citizenship status, disability, ancestry, marital status, veteran status, medical condition, or any protected category prohibited by local, state, or federal laws.

Required profile

Experience

Spoken language(s):
English
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Other Skills

  • Mentorship
  • Collaboration

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