Job Description
Responsibilities
Design and deploy Generative AI solutions, such as information retrieval and coding assistance, for industrial customers.
Collaborate with Generative AI subject matter experts from C3 AI, its customer teams, and academia to identify, design, and implement innovative and differentiated solutions using cutting-edge research on LLMs and Generative AI.
Drive the adoption and scalability of Generative AI offerings within C3 AI products.
Qualifications
MS or PhD in Computer Science, Electrical Engineering, Statistics, Robotics or equivalent fields.
Applied Machine Learning experience (regression and classification, supervised, and unsupervised learning).
Strong mathematical background (linear algebra, calculus, probability, and statistics).
Proficiency in Python and object-oriented programming.
Strong experience working with machine learning and natural language processing techniques and tools.
Strong experience using Generative AI models, with a good understanding of deep learning model classes such as GPT, VAE, and GANs, as well as their hyperparameters.
Strong experience with retrieval methods g. using embeddings.
Strong experience using key Python packages for data wrangling, machine learning and deep learning such as pandas, sklearn, TensorFlow, torch, transformers, LangChain, etc.
Experience in Prompt Engineering and few-shot techniques to enhance LLM's performance on specific tasks.
Experience implementing and designing robust, modular frameworks and systems that are easy to extend, test, and maintain.
Ability to drive a project and work both independently and within a cross-functional team.
Smart, motivated, can-do attitude, innovative and seeks to make a difference in a fast-paced environment.
Excellent verbal and written communication, able to articulate complex concepts with a non-technical audience.
Preferred Qualifications
Experience with design, deployment, and evaluation of LLM-powered agents and tools and orchestration approaches.
Experience architecting scalable agent frameworks with clear, intuitive interfaces and built-in resilience—delivering production-grade reliability and a seamless developer and end-user experience.
Experience working with modern IDEs and AI agent tools as part of accelerated development workflows.
Design and deploy Generative AI solutions, such as information retrieval and coding assistance, for industrial customers.
Collaborate with Generative AI subject matter experts from C3 AI, its customer teams, and academia to identify, design, and implement innovative and differentiated solutions using cutting-edge research on LLMs and Generative AI.
Drive the adoption and scalability of Generative AI offerings within C3 AI products.
Qualifications
MS or PhD in Computer Science, Electrical Engineering, Statistics, Robotics or equivalent fields.
Applied Machine Learning experience (regression and classification, supervised, and unsupervised learning).
Strong mathematical background (linear algebra, calculus, probability, and statistics).
Proficiency in Python and object-oriented programming.
Strong experience working with machine learning and natural language processing techniques and tools.
Strong experience using Generative AI models, with a good understanding of deep learning model classes such as GPT, VAE, and GANs, as well as their hyperparameters.
Strong experience with retrieval methods g. using embeddings.
Strong experience using key Python packages for data wrangling, machine learning and deep learning such as pandas, sklearn, TensorFlow, torch, transformers, LangChain, etc.
Experience in Prompt Engineering and few-shot techniques to enhance LLM's performance on specific tasks.
Experience implementing and designing robust, modular frameworks and systems that are easy to extend, test, and maintain.
Ability to drive a project and work both independently and within a cross-functional team.
Smart, motivated, can-do attitude, innovative and seeks to make a difference in a fast-paced environment.
Excellent verbal and written communication, able to articulate complex concepts with a non-technical audience.
Preferred Qualifications
Experience with design, deployment, and evaluation of LLM-powered agents and tools and orchestration approaches.
Experience architecting scalable agent frameworks with clear, intuitive interfaces and built-in resilience—delivering production-grade reliability and a seamless developer and end-user experience.
Experience working with modern IDEs and AI agent tools as part of accelerated development workflows.
💡 Quick Summary
Seeking a career-building opportunity? The Data Scientist/Senior Data Scientist – Generative AI position is now open for candidates interested in the IT Engineer & Developer Jobs sector. This role in London offers a professional environment and growth potential.
Requirement Snapshot: Candidates should possess basic communication skills, a proactive attitude, and the ability to work in a team. Experience in IT Engineer & Developer Jobs is a plus.