toogeza - ML Engineer
Requirements
• 7+ years’ experience in Machine Learning / Data Science, with 3+ years in credit-lending organisations. • Demonstrated delivery and productionisation of Probability-of-Default (PD) models, credit-limit strategies, fraud-detection, conversion-uplift, and collections-optimisation models. • Advanced Python proficiency and solid grasp of modern ML algorithms, feature engineering, and model-evaluation best practices. • Ability to write, structure, and optimise complex SQL queries. • Deep understanding of the credit lifecycle, especially online lending workflows. • Proven skill in sourcing, cleansing, and generating features from data sets. • Comfortable setting up and maintaining modelling environments (local, cloud, or on-prem). • Detail-oriented, accountable, and committed to both team and individual targets. • English: Intermediate (B1) or higher. • Practical experience with LLM solutions: • Using commercial APIs (e.g., OpenAI, Anthropic, etc.). • Self-hosting of open-source models • Fine-tuning of open-source models. • Building voice chatbots. • Building RAG chatbots. • Experience with Computer Vision models for document or image processing. • Building ML pipelines and deploying models to production. • Creating executive dashboards and model reports in Power BI.
Responsibilities
• Design, train, and deploy probability of default models. • Build credit-limit strategies. • Discover and scope AI/ML opportunities that boost efficiency and revenue of the company, including collections optimisation, fraud control, conversion lift, etc. • Analyse data sources and engineer features for modelling. • Produce and update internal model documentation. • Implement model monitoring. • Plan and execute A/B tests. • Build Computer Vision pipelines to automate lending workflows. • Develop LLM-based solutions that streamline internal processes or enhance customer experience. • Expected results • Implemented probability of default models and credit-limit strategies. • Launched A/B tests for models that potentially can boost the efficiency and/or revenue of the company. • Thorough, audit-ready documentation for models. • Expected results
Benefits
• Join a fast-scaling FinTech company where your decisions shape the business and your contributions truly matter. • Enjoy 20 paid days off annually, flexible scheduling, and a supportive, people-first culture. • Partial compensation for medical insurance, sports activities, and foreign language. • Work in an international, agile team with ambitious goals, modern tools, and a strong sense of purpose.
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