Hybrid Applied Scientist in Machine Learning and AI Solutions
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About the role
Position
Hybrid Applied Scientist Role in Machine Learning and AI Solutions
Location
Ashmont
About
Drive impactful AI solutions as an Applied Scientist in a hybrid environment. Collaborate with engineering teams to translate advanced research into real‑world applications, addressing complex business challenges.
In this Applied Scientist position, you will leverage your PhD or Master’s in Computer Science or Machine Learning to build innovative systems. With 1‑2 years of experience in machine learning, NLP, and generative AI, you'll thrive in a role focused on delivering solutions with measurable impact. Collaborating closely with product teams, you will design experiments, build models, and enhance customer experiences through advanced technologies.
Key Responsibilities
- Develop machine learning and AI solutions for real business problems
- Design experiments and build predictive models
- Collaborate with cross‑functional teams effectively
- Implement and evaluate solutions using large language models
- Engage with modern programming frameworks like Python
Requirements
- PhD or Master’s degree in relevant fields
- 1‑2 years experience in machine learning/NLP
- Strong Python programming skills
- Familiarity with cloud environments and MLOps
- Publications in relevant academic venues preferred
Additional Information
Transform complex problems into actionable AI solutions while collaborating with experts in the field.
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Requirements
- PhD or Master’s degree in relevant fields
- 1-2 years experience in machine learning/NLP
- Strong Python programming skills
- Familiarity with cloud environments and MLOps
Responsibilities
- Develop machine learning and AI solutions for real business problems
- Design experiments and build predictive models
- Collaborate with cross-functional teams effectively
- Implement and evaluate solutions using large language models
- Engage with modern programming frameworks like Python
Skills
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