Applied Scientist II
Tasks
- Build predictive machine learning models
- Collaborate with engineers and product managers to define requirements
- Design and evaluate agentic AI systems
- Develop and optimize generative AI applications
- Develop natural language processing systems
- Implement machine learning model lifecycle management
- Present research results to technical and non technical stakeholders
- Research and publish AI and ML findings
Perks/Benefits
Skills/Tech-stack
Agentic AI | Algorithm Development | Computer Vision | Deep learning | Generative AI | Information Retrieval | Language Models | Language Processing | Large Language Models | Machine Learning | Model Evaluation | Model Explainability | Natural Language | Natural Language Processing | PyTorch | Python | Reinforcement Learning | Supervised Learning | TensorFlow | Unsupervised Learning
Education
Roles
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