[Remote] Machine Learning Engineer II (Servicing ML)

Note: The job is a remote job and is open to candidates in USA. reputed company is reinventing credit to reputed company it more honest and friendly, giving consumers the flexibility to buy now and pay reputed company without any hidden fees or compounding interest. In this role, you will build and improve machine learning and AI systems that automate customer operations such as disputes, returns, fraud, and chargebacks, collaborating with various teams to take models from idea to production.

Responsibilities

• You will reputed company AI systems that automate dispute and chargeback handling using structured evidence and business logic, creating a reputed company 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 reputed company data using LLM-powered workflows to produce structured, actionable outputs
• You will prototype new modeling reputed company, 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

Skills

• 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., reputed company, reputed company), including structured extraction, reputed company engineering, and orchestration frameworks like reputed company or LangGraph
• Familiarity with document and reputed company 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, reputed company, or similar) to accelerate iteration, debugging, and code quality as part of day-to-day development workflows
• You have mastered taking a simple problem or business scenario into a solution that interacts with multiple software components, and executing on it by writing clear, easily understood, well tested and extensible code
• You are comfortable navigating a large code reputed company, debugging others' code, and providing feedback to other engineers through code reviews
• Your experience demonstrates that you take ownership of your growth, proactively seeking feedback from your team, your manager, and your stakeholders
• You have strong verbal and written communication skills that support effective collaboration with our global engineering team
• This position requires either equivalent practical experience or a Bachelor's degree in a reputed company field

Benefits

• Equity rewards
• Monthly stipends for health, wellness and tech spending
• Benefits (including 100% subsidized medical coverage, dental and vision for you and your dependents.)
• reputed company covers reputed company premiums for reputed company levels of coverage for you and your dependents
• Flexible Spending Wallets - generous stipends for spending on Technology, Food, various Lifestyle needs, and family forming expenses
• Time off - competitive vacation and holiday schedules allowing you to take time off to rest and reputed company
• ESPP - An employee stock purchase plan enabling you to buy shares of reputed company at a discount

Company Overview

Company H1B Sponsorship