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DevOps Platform Engineer AI

Analog Devices
Wilmington, MA Full Time
POSTED ON 4/8/2025 CLOSED ON 4/12/2025

What are the responsibilities and job description for the DevOps Platform Engineer AI position at Analog Devices?

About Analog Devices

Analog Devices, Inc. (NASDAQ: ADI ) is a global semiconductor leader that bridges the physical and digital worlds to enable breakthroughs at the Intelligent Edge. ADI combines analog, digital, and software technologies into solutions that help drive advancements in digitized factories, mobility, and digital healthcare, combat climate change, and reliably connect humans and the world. With revenue of more than $9 billion in FY24 and approximately 24,000 people globally, ADI ensures today's innovators stay Ahead of What's Possible™. Learn more at www.analog.com and on LinkedIn and Twitter (X).

We are seeking a highly skilled and experienced DevOps Engineer with MLOps experience to join our dynamic team. This individual will play a pivotal role in bridging the gap between data science and IT operations, ensuring the smooth deployment, monitoring, and maintenance of machine learning models and applications. The ideal candidate will have a strong background in both DevOps and MLOps, with a penchant for automation, continuous integration/continuous deployment (CI/CD) practices, and a deep understanding of machine learning workflows.

Key Responsibilities

  • Design, implement, and maintain CI/CD pipelines: Develop and manage automated pipelines for code deployment, testing, and monitoring, ensuring the seamless integration of new features and updates.
  • Infrastructure as Code (IaC): Utilize tools like Terraform, Ansible, or CloudFormation to manage and provision infrastructure on cloud platforms such as AWS, GCP, or Azure.
  • Model deployment and monitoring: Work closely with data scientists to deploy machine learning models to production environments, ensuring models are performant and scalable.
  • Automate ML workflows: Develop and maintain automated workflows for model training, validation, deployment, and monitoring using tools like Kubeflow, MLflow, or Airflow.
  • Collaboration: Collaborate with cross-functional teams, including data scientists, software engineers, and product managers, to understand requirements and deliver high-quality solutions.
  • Monitoring and logging: Implement robust monitoring and logging solutions to ensure system reliability, performance, and security. Use tools like Prometheus, Grafana, ELK Stack, or Splunk.
  • Security and compliance: Ensure that all systems and applications meet security and compliance requirements, following best practices and frameworks.
  • Continuous improvement: Identify opportunities for process improvement and automation, staying up-to-date with the latest industry trends and technologies.
  • Documentation: Create and maintain comprehensive documentation for all processes, infrastructure, and workflows.

Required Qualifications

  • Education: Bachelor's degree in Computer Science, Engineering, or a related field. A Master's degree is a plus.
  • Experience: Minimum of 3 years of experience in DevOps or Site Reliability Engineering (SRE) roles, with at least 1 year of experience in MLOps.
  • Technical skills:
  • Proficiency in programming languages such as Python, Go, or Java.
  • Experience with CI/CD tools like Jenkins, GitLab CI, CircleCI, or Azure DevOps.
  • Strong knowledge of cloud platforms (AWS, GCP, Azure) and containerization technologies (Docker, Kubernetes).
  • Familiarity with machine learning frameworks and libraries such as TensorFlow, PyTorch, or scikit-learn.
  • Experience with version control systems like Git.
  • Soft skills: Excellent problem-solving abilities, strong communication skills, and the ability to work collaboratively in a team environment.

Preferred Qualifications

  • Experience with Infrastructure as Code (IaC) tools like Terraform, Ansible, or CloudFormation.
  • Familiarity with MLOps tools such as Kubeflow, MLflow, or Airflow.
  • Knowledge of monitoring and logging tools like Prometheus, Grafana, ELK Stack, or Splunk.
  • Understanding of security best practices and frameworks.
  • Certifications in cloud platforms (AWS Certified DevOps Engineer, GCP Professional DevOps Engineer, etc.)

For positions requiring access to technical data, Analog Devices, Inc. may have to obtain export licensing approval from the U.S. Department of Commerce - Bureau of Industry and Security and/or the U.S. Department of State - Directorate of Defense Trade Controls. As such, applicants for this position – except US Citizens, US Permanent Residents, and protected individuals as defined by 8 U.S.C. 1324b(a)(3) – may have to go through an export licensing review process.

Analog Devices is an equal opportunity employer. We foster a culture where everyone has an opportunity to succeed regardless of their race, color, religion, age, ancestry, national origin, social or ethnic origin, sex, sexual orientation, gender, gender identity, gender expression, marital status, pregnancy, parental status, disability, medical condition, genetic information, military or veteran status, union membership, and political affiliation, or any other legally protected group.

EEO is the Law: Notice of Applicant Rights Under the Law.

Job Req Type: Experienced

Required Travel: Yes, 10% of the time

Shift Type: 1st Shift/Days
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