ML Engineer

Datacontroller Toogeza Ltd.; United States; Remote; USD 150,000 - 210,000; Full time

Benefits offered by this job

20 paid days off

Flexible scheduling

Medical insurance support

Sports activities reimbursement

Foreign language support

International agile team

Job summary

toogeza is seeking a Senior ML Engineer to join a client project in the FinTech space. You will design and deploy PD models, build credit-limit strategies, and explore AI/ML opportunities to boost efficiency and revenue.

Responsibilities include feature engineering, data source analysis, model monitoring, A/B testing, and LLM-based process improvements within an international, agile team.

Qualifications

• 7+ years in ML/DS with 3+ years in credit-lending organisations.
• Proven delivery and productionisation of PD models and credit strategies.
• Advanced Python and ML algorithm knowledge; feature engineering and evals.
• Strong SQL, data sourcing, cleansing, and feature generation.
• Experience in modelling environments (local/cloud/on-prem).
• Detail-oriented, accountable, and team/individual targets driven.
• English at least Intermediate (B1) or higher.

Responsibilities

• Design, train, and deploy PD models.
• Build credit-limit strategies and related ML solutions.
• Identify AI/ML opportunities to boost efficiency and revenue.
• Engineer features from data sources for modeling.
• Produce internal model documentation and monitoring.
• Plan and execute A/B tests.
• Develop LLM-based solutions to streamline processes.

Skills

Machine Learning

Data Science

Credit-lending experience

Python

SQL

Feature engineering

Model deployment

Model evaluation

A/B testing

English communication

Tools

Power BI

OpenAI API

Self-hosted models

Job description

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.
• 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, 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.

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.