ML Intern, Customer Team
Tenstorrent
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Responsibilities
- Rapidly develop end-to-end ML application prototype using SOTA AI models from API integration to frontend demonstration on Tenstorrent Hardware.
- Experiment with emerging AI models in NLP and vision and come up with innovative ideas for demonstrating capabilities of Tenstorrent’s Hardware.
- Ensure smooth deployment of prototypes in Tenstorrent cloud environments (BM, VM, or Kubernetes).
- Leverage renowned platforms like HuggingFace to swiftly integrate the latest available models for rapid prototype development.
- Utilize frameworks like Streamlit and Gradio to quickly develop interactive front-end applications for prototype demonstrations.
- Assist in the integration of machine learning models into existing sales platforms and tools, ensuring seamless adoption by the sales team.
- Stay updated on the latest advancements in AI, especially open-source ecosystem, to ensure that the company is always leveraging the best and most suitable tools and models.
Experience & Qualifications
- Currently pursuing a degree in Computer Science, Data Science, Machine Learning, or a related field.
- Strong understanding of machine learning concepts, algorithms, and techniques.
- Proficiency in programming languages such as Python, and familiarity with libraries like scikit-learn, TensorFlow, or PyTorch.
- Familiarity with state-of-the-art NLP and vision models like LLMs and Stable Diffusion along with platforms like HuggingFace.
- Experience with frameworks such as Streamlit and Gradio.
- Familiarity with deploying applications in the cloud and understanding the deployment process.
- Basic knowledge of vector databases, frameworks like Langchain, Embedchain, etc.
- Excellent problem-solving skills and the ability to translate business needs into technical solutions.
- Effective communication skills, both written and verbal.
This job is no longer accepting applications
See open jobs at Tenstorrent.See open jobs similar to "ML Intern, Customer Team" Work In Tech.