On-site
Part Time
- Deploying highly scalable LLMs to evaluate model performance and accuracy
- Experimenting with multi-model systems involving text, images, and video/audio
- Collaborating with the Machine Learning Team to design benchmarks for LLMs
- Participating in research and technology innovation to develop more efficient and automated ways to handle ML/Deep Learning (DL) workloads
- Engaging in new product/feature definitions
- Passion for ML, data science, and ability to work flexibly within a team
- Ability to thrive in a fast-paced and dynamic working environment
- Proficiency in Python and Python data-science frameworks
- Experience with deep learning frameworks such as PyTorch
- Experience with transformer-based language models
- Ability to mentor and develop team members
- Quick learner with an ability to grasp new technologies, frameworks, and algorithms
- Preference to MS/PhD in Mathematics, Physics, Computer Science, or a related field
- Excellent command of English, both written and spoken
Workflexi
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