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Machine Learning Engineer

AI-First Talent·hiring for a confidential client
Posted 29 days ago · Apply by 1 Jul 2026
India3-5 yearsContract

About this role

Our client is a leading AI-powered lending fintech that is transforming financial access for millions of people in India and Africa. We are seeking a skilled Machine Learning Engineer to join our innovative team. In this role, you will leverage alternative data and machine learning techniques to develop systems that enhance our lending processes and improve customer experiences.

Key Responsibilities:

  • Design, implement, and optimize machine learning models for financial data analysis.
  • Collaborate with cross-functional teams to identify opportunities for leveraging data to drive business solutions.
  • Analyze and preprocess large datasets to ensure high-quality inputs for machine learning algorithms.
  • Monitor and evaluate model performance, making adjustments as necessary to improve accuracy and efficiency.
  • Stay updated with the latest advancements in machine learning and AI technologies to incorporate best practices into our systems.

Required Skills & Qualifications:

  • Proficiency in programming languages such as Python or R.
  • Experience with machine learning frameworks like TensorFlow or PyTorch.
  • Strong understanding of statistical analysis and data mining techniques.
  • Familiarity with cloud platforms such as AWS or Google Cloud for deploying machine learning models.
  • Excellent problem-solving skills and ability to work in a fast-paced environment.

Experience: 3-5 years of relevant experience in machine learning or data science roles.

What we offer:

  • Opportunity to work in a mission-driven company that is making a significant impact in the fintech space.
  • Collaborative and dynamic work environment with a focus on innovation.
  • Professional development opportunities and access to cutting-edge technologies.
This role is managed by AI-First Talent on behalf of our client. Your application is reviewed directly by our talent team.

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