As a Data Scientist, you'll be at the forefront of machine learning and AI development. Your role will involve designing and deploying models that can analyze and interpret complex data sets.
In this role, you will design, train, evaluate, and deploy machine learning models using Python. Your day-to-day tasks will involve working with both supervised and unsupervised learning techniques to extract insights from data. You'll also leverage AI developer tools, including Claude Code and large language models (LLMs), to enhance your experimentation and delivery processes.
You will need a strong proficiency in Python and familiarity with essential libraries such as NumPy, pandas, scikit-learn, and either PyTorch or TensorFlow. This position is ideal for someone who enjoys working with data and is passionate about applying machine learning techniques to solve real-world problems.
Key responsibilities include: • Designing and implementing machine learning models • Evaluating model performance and making improvements • Collaborating with team members to integrate models into applications • Staying updated with the latest trends in AI and machine learning
This role suits individuals who are detail-oriented and have a solid foundation in data science principles. If you thrive in an innovative and collaborative environment, this could be the perfect opportunity for you.
You'll be taken to the original listing on PNet to apply.