%204_edited.jpg)
We don’t just apply AI, we integrate it with a deep understanding of your business context. Ensuring that every solution is not just technically sound but also strategically aligned with your goals.
AI Engineer
Location:
Hybrid
Type:
Full-time
Who You Are
What You Can Offer:
3+ years experience working with Python (C# is a plus) and cloud services (GCP, Azure).
Robust knowledge of microservice architecture, specifically function apps.
Strong experience in integrating data from various sources.
Proficiency in data modelling and preparation for machine learning.
Development of algorithms to optimize heavy industry supply chain tasks.
Proven ability to perform ad-hoc data analysis and contribute to product development.
Positive, approachable demeanour with a passion for modern methodologies and technology.
Critical thinking, analytical mindset, and a proactive attitude towards continuous improvement.
Excellent communication skills for both internal and external interactions.
Confidence to take risks, learn from mistakes, and contribute to a collaborative team environment.
Description
You will play a crucial role in advancing our intelligence technology to help our customers remove harmful emissions and inefficiencies in their global operations. Collaborating closely with our world-class engineering team, you will tackle challenging problems using the latest cloud ML technologies to bring innovation to heavy industry. Our work in LLM technologies for interacting with the supply chain is just the beginning; we have a multitude of challenges awaiting your expertise.
What You Will Do
Responsibilities will include but not limited to:
Develop and optimise intelligence algorithms for tasks within the heavy industry supply chain.
Integrate data from clients, third-party APIs, and production systems.
Conduct data modelling and preparation for training, predictions, and analytics.
Utilise Python (C# is a plus) and cloud ml technology to implement AI solutions.
Collaborate with some of the world's largest energy and mineral companies, working at scale and pace.
Perform ad-hoc data analysis and contribute to building great products in a lean, agile environment.
Supplementary Pay Types