At a Glance
- Tasks: Develop and maintain Python-based AI applications for document workflows.
- Company: Join Trafigura, a leader in digital transformation within commodities trading.
- Benefits: Competitive salary, innovative projects, and opportunities for professional growth.
- Other info: Be part of a dynamic team driving digital innovation in a global company.
- Why this job: Make a real impact on the future of commodities trading with cutting-edge AI technology.
- Qualifications: Experience in production AI/ML systems and strong Python skills required.
The predicted salary is between 60000 - 80000 £ per year.
Trafigura is seeking an Applied AI Engineer to join our Digital Transformation team based in Greater London. You will develop and maintain Python-based AI applications while building document workflows utilizing LLMs and classical NLP.
The ideal candidate has extensive experience in production AI/ML systems, a strong understanding of the Python ecosystem, and a desire to solve real business problems. This hands-on role offers a unique opportunity to impact the future of commodities trading.
Document AI Engineer — Agentic AI & Production Systems employer: Trafigura
Trafigura is an exceptional employer that fosters a dynamic work culture where innovation meets practical delivery. As a Forward Deployed Engineer, you will have the opportunity to work closely with business stakeholders, driving meaningful impact through bespoke technical solutions while enjoying a collaborative environment that prioritises employee growth and development. With a commitment to diversity and inclusion, Trafigura offers a unique chance to be part of a forward-thinking team in a vibrant location, ensuring your contributions are valued and recognised.
StudySmarter Expert Advice🤫
We think this is how you could land Document AI Engineer — Agentic AI & Production Systems
✨Get Involved in Data Science Meetups
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We think you need these skills to ace Document AI Engineer — Agentic AI & Production Systems
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Trafigura, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Trafigura. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Trafigura
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Trafigura!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
