ML Engineer

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 experiencedSenior ML Engineerto 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, conversionlift, 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.

What We Offer

• 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.

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, conversionlift, 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.

What We Offer

• 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.