Our Client Currently looking for Machine Learning Engineer II (Servicing ML)
What you’ll do
– You will develop AI systems that automate dispute and chargeback handling using structured evidence and business logic, creating a better experience for our customers.
– You will build models that automate refunds, getting money back to our customers faster.
– You will build and maintain evidence extraction pipelines that process unstructured data using LLM-powered workflows to produce structured, actionable outputs.
– You will prototype new modeling ideas, run offline experiments, and drive the best-performing approaches into production with appropriate risk controls.
– You will collaborate across Engineering, Servicing Operations, Product, and ML Platform to define requirements, evaluate tradeoffs, and communicate results clearly to both technical and non-technical audiences.
What we look for
– You have a total of 2+ years of experience as a machine learning engineer
– Strong Python skills and experience writing production-quality code
– Experience building and evaluating models for tabular classification problems (preferably gradient-boosted decision trees like LightGBM/XGBoost/CatBoost).
– Experience building applications with LLM APIs (e.g., OpenAI, Anthropic), including structured extraction, prompt engineering, and orchestration frameworks like LangChain or LangGraph.
– Familiarity with document and unstructured data processing (PDF/image extraction, text parsing, or similar).
– Experience with ML lifecycle tooling for training orchestration, experimentation, and model monitoring (e.g., Kubeflow, Airflow, MLflow, or equivalent internal platforms).
– Proficient in using AI-powered developer tools (e.g., Claude Code, Cursor, or similar) to accelerate iteration, debugging, and code quality as part of day-to-day development workflows.
Are you interested in this position?
Apply by clicking on the “Apply Now” button below!
#AlbionarcJobs#FintechJobs
#AsiaJobs#MiddleEastCareers
#TechTalent#FintechRecruitment
#FinanceOpportunities#
