Data Scientist-Reinforcement

Required Technical Skills/Education:

Knowledge of libraries such as TensorFlow PyTorch and scikitlearn is crucial for implementing machine learning algorithms and specifically Reinforcement Learning.

TensorFlow and PyTorch is important for developing advanced GenAI models. Proficiency in building and training deep neural networks using these frameworks is highly desirable.

Proficiency in data processing tools such as Pandas and NumPy for data manipulation cleaning and feature engineering

Familiarity with cloud platforms like AWS Azure or Google Cloud Platform

Strong understanding of various machine learning algorithms including supervised learning unsupervised learning

GenAI and traditional machine learning projects and Knowledge of algorithm selection and tuning is crucial for achieving optimal model performance.

Experience with model evaluation techniques such as crossvalidation hyperparameter tuning.

Strong coding experience: python PyTorch.

Fluent English (both written and spoken) solid technical writing presentation and communication skills.

Preferred Technical Skills/Education:

Strong handson experience in Reinforcement Learning and machine learning

AWS Azure deployments

Good to have skill LLMs Agent LLMs

Remote Work :

No