Analog Devices is looking to deliver a world-class AI/ML developer experience for their software engineers and data scientists by building a strong MLOps team
Requirements
- Basic understanding of the machine learning lifecycle (e.g., data preprocessing, model training, evaluation)
- Familiarity with cloud-based services (e.g., AWS, Azure, or Google Cloud)
- Exposure to infrastructure-as-code tools (e.g., Terraform, AWS CDK) and workflow orchestration tools (e.g., Airflow or Kubeflow) is a plus
- Experience with programming languages such as Python or Bash
- Strong communication and documentation skills
- A growth mindset and eagerness to learn new tools, platforms, and methodologies
Responsibilities
- Foster and contribute to a culture of operational excellence: high-performance, mission-focused, interdisciplinary collaboration, trust, and shared growth
- Help drive proactive capability and process enhancements to ensure enduring value creation, analytic compounding interest, and operational maturity of the ML/AI platform
- Assist in setting up cloud resources (e.g., EC2 instances, S3 buckets, and SageMaker environments) to support the lifecycle of ML models and services
- Learn and apply foundational concepts of cloud architecture under the guidance of senior engineers
- Document configuration steps and contribute to maintaining infrastructure scripts for scalability and reliability
- Support efforts to monitor cloud resources and ML workflows by setting up basic monitoring tools or dashboards
- Collaborate with the team to ensure compliance by following pre-defined frameworks and flagging any issues or inconsistencies
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