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Machine Learning Systems Specialist

1 week ago

Fredericton, New Brunswick, Canada Autodesk, Inc. Full time

Avoiding Operational Headaches:

The ideal candidate will have a proven track record of avoiding operational headaches and ensuring smooth deployments of machine learning models. They will have experience with MLOps practices, containerization technologies, and CI/CD pipelines. The successful candidate will also have strong scripting skills in Python, Bash, or similar languages, and familiarity with monitoring and logging tools.

Key Responsibilities:

  • Implement MLOps practices to ensure smooth operationalization of machine learning models.
  • Design and implement automated deployment pipelines for machine learning models.
  • Collaborate with cross-functional teams to design and implement scalable infrastructure.
  • Develop and maintain robust monitoring and logging systems.
  • Work closely with data engineers to ensure efficient data pipelines for model training and validation.
  • Implement version control systems for machine learning models.
  • Enforce security best practices and compliance standards in all aspects of MLOPs.
  • Identify opportunities for process automation, optimization, and implement strategies to enhance the overall MLOPs lifecycle.

Requirements:

  • BS or MS in Computer Science, or related field.
  • 4+ years of hands-on experience in DevOps and MLOPs.
  • Proficiency in implementing Infrastructure as Code practices.
  • Strong expertise in containerization technologies.
  • Demonstrated experience in setting up and managing CI/CD pipelines.
  • Strong scripting skills in Python, Bash, or similar languages.
  • Familiarity with monitoring and logging tools.
  • Understanding of security best practices in MLOPs.
  • Excellent collaboration and communication skills.
  • Proven ability to troubleshoot and resolve complex operational issues.
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