Artificial Intelligence and Machine Learning Specialist
3 weeks ago
Faculty is a leading applied AI company that transforms organisational performance through safe, impactful and human-led AI. With a decade of experience in AI, we provide industry-leading software and bespoke AI consultancy to over 300 global customers across retail, healthcare, energy, and governmental organisations.
Our expertise and safety credentials have earned us recognition as OpenAI's first technical partner, helping customers deploy cutting-edge generative AI safely. Our high-impact work has saved lives, produced green energy, and kept children safe online.
What You'll Be DoingYou will design, build, and deploy production-grade software, infrastructure, and MLOps systems that leverage machine learning. You will work with our customers to understand their needs and develop solutions that address their high-impact problems in the Consumer and Services space.
You will be part of a cross-functional team that includes commercial, data science, product management, and design specialities to cover all aspects of AI product delivery. Your role will involve:
- Building software and infrastructure that leverages Machine Learning;
- Creating reusable, scalable tools to enable better delivery of ML systems;
- Working with our customers to understand their needs;
- Working with data scientists and engineers to develop best practices and new technologies;
- Implementing and developing Faculty's view on what it means to operationalise ML software.
We are looking for individuals who combine expertise and ambition with optimism. You should be interested in changing the world for the better and have the drive and intelligence to make it happen. You should love finding new ways to solve old problems and be committed to delivering technically sophisticated, high-impact systems.
To succeed in this role, you'll need:
- Understanding of and interest in the full machine learning lifecycle, including deploying trained machine learning models developed using common frameworks such as Scikit-learn, TensorFlow, or PyTorch;
- Understanding of the core concepts of probability and statistics and familiarity with common supervised and unsupervised learning techniques;
- Experience in Software Engineering including programming in Python;
- Technical experience of cloud architecture, security, deployment, and open-source tools.
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