Toogeza
ML Engineer
2w ago
WorldwideSeniorB1pythonsqlmachine learningdata sciencefeature engineeringmodel evaluation
Experienced Senior ML Engineer position focusing on credit-lending models and advanced machine learning techniques for a tech startup client.
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.
- 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.
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-up lift , 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.
- 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-up lift , 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.
Nice to have
- 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.
- 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.
Conditions
- 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.
- 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.
Other
- 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.
- 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.
- 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.