Cloud AI Engineer

Nice to Have

• Experience with containerization (Docker) and orchestration (Kubernetes) Familiarity with Infrastructure as Code (Terraform, CloudFormation, ARM templates) Knowledge of DevOps practices and tools (Git, Jenkins, GitLab CI/CD, GitHub Actions) Experience with Large Language Models (LLMs) and prompt engineering Understanding of MLOps practices and model deployment strategies Cloud certifications (AWS Certified Cloud Practitioner, Azure Fundamentals, Google Cloud Associate, etc.) Contributions to open-source projects or published research in AI/ML Experience with vector databases and retrieval-augmented generation (RAG) systems What We Offer Opportunity to work on cutting-edge AI and cloud technologies at a global leader in semiconductors and signal processing Mentorship from experienced engineers and AI specialists Collaborative and innovative work environment Professional development and continuous learning opportunities 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.
• 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.
• Job Req Type: Graduate Job Required Travel: Yes, 10% of the time