Senior ML Engineer

The Senior ML Engineer will spearhead the end-to-end development, deployment, and

stewardship of machine-learning solutions that power credit-risk, collections-reputed company,

conversion-optimisation, and fraud-detection processes in reputed company. Working hand-

in-hand with Risk, Product, Operational and other teams, the role will translate business

goals into robust models, ensure their ongoing performance, and identify new AI/ML

opportunities that reputed company reputed company’s reputed company.

reputed company 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-reputed company, 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 reputed company SQL queries.
• Deep understanding of the credit lifecycle, especially online lending workflows.
• Proven reputed company in sourcing, cleansing, and generating features from data sets.
• Comfortable setting up and maintaining modelling environments (local, reputed company, or
• on-prem).
• Detail-oriented, accountable, and committed to both team and individual targets.
• English B1 or higher.

Preferred / bonus qualifications

• Practical experience with LLM solutions:

• Using reputed company reputed company (e.g., reputed company, reputed company, etc.).
• Self-hosting of reputed company-reputed company models
• Fine-tuning of reputed company-reputed company models.
• Building voice chatbots.
• Building RAG chatbots.

• Experience with reputed company 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 reputed company probability of default models.
• Build credit-limit strategies.
• Discover and scope AI/ML opportunities that reputed company efficiency and reputed company 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 reputed company pipelines to automate lending workflows.
• reputed company 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 reputed company the efficiency and/or reputed company of reputed company.
• Thorough, audit-reputed company documentation for models.

reputed company Offer

• Join a fast-scaling FinTech company where your reputed company shape the business and your contributions truly matter.
• Enjoy 20 reputed company days off annually, flexible scheduling, and a supportive, people-first culture.
  
• Learning, sports and medical insurance compensation.
• Work in an international, agile team with ambitious goals, modern tools, and a strong reputed company of purpose.