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AI Engineer
3 months ago
Responsibilities:
- Engage directly with manufacturing clients to understand and define challenges in knowledge capture and dissemination.
- Design, validate, and implement models and methods to solve identified problems, collaborating with the engineering team for deployment.
- Innovate and refine product features to develop future generations of technology.
- Participate in the technical community, presenting findings, staying current with industry developments, and contributing to advancements in the field.
Qualifications:
- Demonstrated experience as an Applied AI Scientist, AI Researcher, or in a similar role.
- Proficient in Python and familiar with major machine learning libraries.
- Strong foundation in working with unstructured data, particularly in natural language processing and text analytics.
- Ability to extract and manage knowledge from diverse sources such as documents, interviews, and data sets, making the information accessible and actionable.
- Skilled in the use of generative models to synthesize knowledge with real-time data for process optimization.
Preferred Qualifications:
- 3-5 years of professional experience in a relevant field or an advanced degree (M.S. or PhD) in Computer Science, focusing on Machine Learning, AI Planning, or Reasoning.
- Expertise in Generative AI applications within enterprise settings.
- Experience with SQL and familiarity with Google Cloud Platform (GCP).
- Demonstrated ability to manage projects from inception to delivery, with a strong commitment to practical and impactful results.
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