As a member of the C3 AI Data Science team, you will work with some of the largest companies on the planet to help them build the next generation of AI-powered enterprise applications. You will collaborate directly with data scientists, software engineers, and subject matter experts in defining new AI solutions that provide our customers (c3.ai/customers/) with the information they need to make informed decisions and enable their digital transformation. Your role will involve finding the appropriate machine learning algorithms and implementing them on the C3 AI Platform to ensure they can run at scale.
Qualified candidates will have an in-depth knowledge of most common machine learning techniques and their application. You will also understand the limitations of these algorithms and how to tweak them or derive from them to achieve similar results at a large scale.
Responsibilities: Designing and deploying Machine Learning algorithms for industrial applications such as predictive maintenance, demand forecasting and process optimization. Collaborating with data and subject matter experts from C3 AI and its customer teams to seek, understand, validate, interpret, and correctly use new data elements. Driving adoption and scalability of Generative AI and Deep Learning systems within C3 AI's products. Qualifications: MS or PhD in Computer Science, Electrical Engineering, Statistics, or equivalent fields. Applied Machine Learning experience (regression and classification, supervised, self-supervised, and unsupervised learning). Strong mathematical background (linear algebra, calculus, probability, and statistics). Proficiency in Python and objected-oriented programming, e.g. JavaScript Familiarity with key Python packages for data wrangling, machine learning, and deep learning such as pandas, sklearn, tensorflow, torch, langchain, etc. Ability to drive a project and work both independently and in a cross-functional team. Smart, motivated, can-do attitude, and seeks to make a difference in a fast-paced environment. Excellent verbal and written communication. Preferred Qualifications: Experience with scalable ML (MapReduce, Spark). Experience in Generative AI, e.g., Large Language Models (LLMs), embedding models, prompt engineering, and fine-tuning. Experience with reinforcement learning. A portfolio of projects (GitHub, papers, etc.).
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