ironquill.tech/board

$ cat jobs/ml-engineer-toogeza-fb9b93322a6e.json

ML Engineer

Toogeza·EU·Europe·mid
pythonsqlmlllmcomputer visiondata science
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We are toogeza, a Ukrainian recruiting company that is focused on hiring talents and building teams for tech startups worldwide. People make a difference in the big game, and we may help to find the right ones. Currently, we are looking for an experienced Senior ML Engineer to join one of toogeza’s clients. Professional qualifications - 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. Preferred / bonus qualifications - 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. Main 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. - Produc

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