Transforming the Physical World with Next-Generation AI Technology
At ADI's Central AI team, we're pushing the boundaries of what's possible with next-generation AI technology. Our mission is to build the Intelligent Edge, where AI revolutionizes how we solve complex problems by combining deep application knowledge, close customer relationships, extraordinary data, advanced circuits, and breakthrough algorithms.
The Role of Principal AI/ML Engineer
We're seeking highly skilled engineers who can define, train, and deploy AI/ML models to tackle intricate business and semiconductor-specific challenges. As a technical lead, you'll drive AI R&D and oversee model deployment, ensuring timely delivery of AI solutions that align with ADI's strategic objectives.
Key Responsibilities:
* Develop and implement AI/ML models to address complex business and semiconductor-related issues.
* Lead cross-functional teams in AI research and development, facilitating the transition of models into production.
* Analyze and extract meaningful insights from data through exploratory data analysis and data engineering.
* Select and apply suitable tools and models for each problem, including deep learning, LLMs, NLP, and ML models.
* Design and implement solutions adhering to modern software principles, emphasizing best practices in AI architecture, CI/CD, and MLOps.
* Communicate complex technical concepts effectively to diverse audiences, including non-technical stakeholders.
* Stay ahead of the latest AI developments, share learnings with the team, and evaluate/recommend new technologies for the platform.
Qualifications:
* 10+ years of experience in software engineering or data science, with 5+ years focused on AI/ML solutions and at least 3+ years in a technical leadership role.
* Bachelor's degree in Computer Science, Electrical Engineering, Mathematics, or a related field, with a Master's or Ph.D. preferred.
* Strong understanding of and experience with ML, deep learning, LLMs, and modern AI trends, along with 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 models and technologies and building deployed solutions.
* Familiarity with relevant languages and technologies such as Python, C++, PyTorch, and TensorFlow, with experience in 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, capable of leading cross-functional technical teams.