Principal AI/ML Engineer

Principal AI/ML Engineer

ADI - Analog Devices

Cork or Limerick, Ireland

Responsibilities

  • As a Principal AI/ML Engineer, you be responsible for defining, training, and deploying AI/ML models to solve complex business and semiconductor-specific problems;
  • Act as a technical lead for cross-functional teams driving AI R&D and putting models into production, enabling delivery of AI solutions to meet ADI’s strategic goals;
  • Perform data engineering and exploratory data analysis to extract meaningful insights; analyze and select features to optimize model performance;
  • Explore and select appropriate tools and models for each problem, including using deep learning, LLMs, NLP, and ML models;
  • Architect and implement solutions adhering to modern software design principles, ensuring best practices in AI architecture, CI/CD, and MLOps;
  • Effectively communicate complex technical findings and developments to a diverse audience, including non-technical stakeholders;
  • Conduct research to stay ahead of the latest developments in AI, communicate learnings to the team, and evaluate/recommend new technologies for the platform.

Qualifications

  • 10+ years of experience in software engineering or data science, including 5+ years developing AI/ML solutions. At least 3+ years in a technical leadership role;
  • Degree in Computer Science, Electrical Engineering, Mathematics, or a related field. M.S. or Ph.D. preferred;
  • Broad understanding of and experience with ML, deep learning, LLMs, and modern AI trends. Demonstrated deep expertise in at least one specific AI domain;
  • Significant experience leading end-to-end AI/data science efforts, from AI use-case analytics, to selecting appropriate models and technologies, to building and deploying working solutions;
  • Expertise with relevant languages and technologies such as Python, C++, Pytorch, and Tensorflow. Experience with Azure or AWS;
  • Demonstrated experience in managing datasets, extracting features, and visualizing results;
  • Experience with data orchestration tools and modern DevOps/MLOps processes (e.g., containerization, Docker, Kubernetes);
  • A confident peer influencer with strong communication skills who quickly establishes credibility and is capable of leading cross-functional technical teams.

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