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Senior ML Engineer
MD FinanceSenior ML Engineer spearheading development and deployment of innovative AI/ML solutions. Collaborating with various teams to optimize credit risk and fraud detection processes.
Tech Stack
Tools & technologiesPythonSQL
About the role
Key responsibilities & impact- Spearhead the end-to-end development, deployment, and stewardship of machine-learning solutions
- Collaborate with Risk, Product, Operational and other teams
- Translate business goals into robust models
- Ensure ongoing performance of models
- Identify new AI/ML opportunities that raise the company’s bottom line
- Design, train, and deploy probability of default models
- Build credit-limit strategies
- Discover and scope AI/ML opportunities that boost efficiency and revenue
- Produce and update internal model documentation
- Implement model monitoring
- Plan and execute A/B tests
- Build Computer Vision pipelines
- Develop LLM-based solutions to enhance customer experience
Requirements
What you’ll need- 7+ years’ experience in Machine Learning / Data Science
- 3+ years in credit-lending organizations
- Advanced Python proficiency
- Solid grasp of modern ML algorithms
- Feature engineering and model-evaluation best practices
- Ability to write, structure, and optimize complex SQL queries
- Deep understanding of the credit lifecycle
- Proven skill in sourcing, cleansing, and generating features from data sets
- Comfortable setting up and maintaining modelling environments
Benefits
Comp & perks- 20 paid days off annually
- flexible scheduling
- supportive, people-first culture
- Learning, sports and medical insurance compensation
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
Machine LearningData SciencePythonSQLFeature EngineeringModel EvaluationComputer VisionA/B TestingLLM-based SolutionsModel Monitoring
Soft Skills
CollaborationCommunicationProblem SolvingAnalytical ThinkingDocumentation