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Junior AI/ML Engineer
GD Next is a European group of companies headquartered in Switzerland, specialising in KYC, Fraud prevention, financial messaging, and Open Banking solutions. We integrate innovative, modern technologies into the traditional financial sector to strengthen digital banking and enhance the customer experience. By combining proven, market-validated technologies with the expertise of our team and trusted partners across Europe, we deliver real and tangible value to our clients.
Ootused kandidaadile
We’re looking for a curious and motivated Junior AI/ML Engineer to join our team in building a document analysis and transaction classification system. This is a great opportunity to work on real-world financial text data, gain hands-on experience with machine learning algorithms, and start working with Large Language Models (LLMs) under the guidance of more experienced team members. You will also develop and maintain classic applications and APIs that serve your ML results to other systems.
It’s a good chance to grow your machine learning skills, especially across classic algorithms (Decision Trees, Naive Bayes, etc.) and to gain exposure in training state-of-the-art Large Language Models (LLMs).
Key Responsibilities:
• Develop and optimize machine learning models (e.g., Decision Trees, Naive Bayes, Logistic Regression) for transaction purpose classification.
• Fine-tune large-language models
• Design and implement robust data preprocessing pipelines to handle real-world financial text data.
• Evaluate model performance using various metrics and present findings to both technical and non-technical stakeholders.
• Collaborate with cross-functional teams to integrate your API with existing financial systems and data pipelines.
• Stay up to date with emerging AI/ML and LLM technologies, demonstrating basic understanding of data preparation, fine-tuning, and training processes for language models.
• Document your designs, experiments, and REST API specifications, including clear versioning information for smooth collaboration.
Qualifications:
• Bachelor's degree or equivalent experience in Computer Science, Data Science, related field. Third-grade students would also be considered
• Foundational experience with machine learning frameworks (such as scikit-learn, TensorFlow, or PyTorch) and understanding of classic classification algorithms.
• Proficiency in at least one programming language (Python, Java, or similar) and familiarity with RESTful API development (e.g., Flask, FastAPI, Spring Boot).
• Knowledge of software development lifecycle, including coding standards, code reviews, source control (Git), and unit testing.
• Eagerness to learn and apply new techniques, especially around LLM fine-tuning and pipeline integration.
• Strong analytical and problem-solving skills with attention to detail.
• Basic knowledge of cloud platforms (AWS, Azure, or GCP) is a plus.
Võimalused
We will give you an opportunity to enjoy your work by:
• Exposure to the company's technology stack and mastery of the latest technologies.
• A modern MacBook Pro and tech setup that suits your role.
• Flexible working hours and up to 100% remote work possibilities.
• Friendly and supportive team.
• An opportunity to drive innovation, develop career paths for the team, and make a meaningful impact on our company's growth.
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