About the Role
Apply Python to develop models based on classical ML techniques including linear/non-linear models, tree models, ensemble, and boosted models. Work with deep learning frameworks to implement RNN and CNN architectures. Experiment with advanced AI techniques such as transformers involving encoders and decoders. Contribute to projects involving General AI and LLMs, and assist in MLOps activities.
Requirements
Apply Python to develop models based on classical ML techniques including linear/non-linear models, tree models, ensemble, and boosted models. Work with deep learning frameworks to implement RNN and CNN architectures. Experiment with advanced AI techniques such as transformers involving encoders and decoders. Contribute to projects involving General AI and LLMs, and assist in MLOps activities.
About the Company
Experience with Python and classical machine learning techniques. Familiarity with deep learning, RNN, CNN, and potentially transformers. Interest in General AI, LLMs, and MLOps is beneficial.