Machine Learning Engineer Role

New

Skills

Cloud Cloud Computing Data Science Engineer Large language models (llm) Machine Learning Python Sql Statistics

Branch International is a mission-driven fintech company delivering world-class financial services to the mobile generation across emerging markets. As a Machine Learning Engineer, you will play a pivotal role in building, deploying, and enhancing ML models that power our credit decisions, customer service, and fraud detection solutions. You will collaborate with cross-functional teams to drive data-driven innovation, improve user experience, and create positive impact for our customers. Our fast-paced, entrepreneurial environment values diversity, bottom-up innovation, and empowers every team member to propose and build solutions.

Job Overview
  • Develop and deploy machine learning models for credit underwriting and loan servicing.
  • Collaborate with engineers, product managers, and underwriters to solve complex optimization problems.
  • Explore and implement ML solutions across new product offerings to enhance customer experience.
  • Contribute to a culture of bottom-up innovation and decentralized decision-making.
  • Thrive in a rapidly evolving, diverse, and customer-focused setting.
Key Responsibilities
  • Build signals from structured and unstructured data to identify reliable borrowers.
  • Automate customer service interactions using ML, LLM, and NLP technologies.
  • Detect and prevent fraudulent behaviors by developing robust models.
  • Work cross-functionally to advance technical direction and team capabilities.
  • Propose innovative solutions to product and policy challenges.
Required Skills & Qualifications
  • 2+ years of production software development experience, preferably in startups or early-stage teams.
  • Proficient in Python and SQL for programming and data manipulation.
  • Experience in experimentation, statistics, and machine learning applied to business decisions.
  • Skilled in cloud infrastructure and managing data pipelines in production environments.
  • Self-motivated with strong collaboration and communication skills.

Job Type: Remote

Salary: Not Disclosed

Experience: Entry

Duration: 12 Months

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