AI Solution Engineer - Machine Learning & NLP (5-8 yrs)

At the heart of global supply, Trafigura connects vital resources to power and build the world. Through our Oil & Petroleum Products, Gas and Power, and Metals and Minerals, commercial divisions, we use infrastructure, logistics and financing to connect producers and consumers, using our deep understanding of the markets we serve to make supply more efficient, secure and sustainable.

We are committed to responsible business practices and believe that the supply of energy and raw materials is essential for growth, development and prosperity. We are accelerating our investments in renewable energy, including hydrogen, ammonia and other low-carbon energy technologies required for the transition to a low carbon future. And we work with our stakeholders to improve environmental and social standards, bringing greater trust and transparency to global supply chains.

Main Purpose :

Company is undergoing an exciting Digital Transformation and developing innovative technologies to change the way we work in Commodities Trading. The Document AI team is a key pillar of this initiative, unlocking the data-rich proprietary documents that pass through our firm to enable high value process optimization and data science use cases.

We are seeking an AI Solutions Engineer to grow our Document AI platform and implement code to production. You will collaborate closely with business users, deeply understanding their problems and solving them using appropriate technology. You will simultaneously use these learnings to grow our Document AI platform, developing new ideas and features to support additional use cases.

This is a hands-on Individual Contributor role.

Knowledge, Skills and Abilities :

- 5 to 8 years of experience working on machine learning and natural language processing (NLP) projects.

- Strong foundation in machine learning concepts.

- Ability to collaborate effectively with both technical and non-technical team members.

- Proficient in coding, with demonstrated expertise in Python and application frameworks such as Django and Flask.

- Practical experience with Amazon Web Services (AWS), preferably as an AWS Certified Practitioner.

- Experience with databases, including SQL and NoSQL, and data engineering on AWS (e.g., Step Functions, Glue).

- Familiarity with microservices architectures.

- Knowledge of event-driven architectures.

- Understanding of modern software development lifecycles, including continuous integration and delivery (CI/CD), infrastructure as code (IaC), and containerization.

Key Responsibilities :

- Collaborate closely with business stakeholders to successfully implement new Document AI use cases.-

- Communicate effectively with both technical and non-technical stakeholders to understand and translate business requirements into production-ready code.-

- Serve as the primary point of contact for business users by leading meetings, providing regular updates, addressing concerns, and managing expectations.-

- Identify new opportunities to enhance the Document AI platform by rapidly prototyping new features and evaluating their implementation into production.-

- Example projects you might manage in the first six months include:-

- Developing a cloud engineering pipeline for processing supply chain documents.

- Implementing a large language model (LLM) workflow to automate information extraction from domain-specific documents.

- Generating credit risk reports based on the analysis of proprietary documents.

Competencies :

- A strong desire to help others solve problems.

- Self-directed and comfortable working autonomously.

- An engineering mindset focused on delivering production solutions using appropriate technology.

Key Relationships :

- You will work closely with the Digital Transformation Team to understand business requirements and rollout production-grade code to solve them.

- You will work directly with Business users in our front, middle and back offices to build trust and support their business requirements.

- You will support the Data Science & Engineering teams as a Centre of Excellence for Document AI related technology, providing support in the form of knowledge sharing and tool adoption.

Department : Digital Transformation Team

Reporting Structure : You will report directly to the Document AI Lead.