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Experian

Venture capital arm funding data startups

Machine Learning Engineer

Applied Machine LearningPosted on Nov 10
Full-timeSofia, BulgariaNo salary listed

About the Job

Requirements

  • At least 4 years of experience in AI, data science, or predictive modeling, including experience managing complex hands-on analytical technology, innovation, and client-focused projects.
  • An advanced degree in Machine Learning, Data Science, AI, Computer Science, or a related quantitative field.
  • Proficiency in statistical modeling in at least one programming language, coding skills in Python, and proficiency with distributed computing frameworks such as AWS.
  • Experience with large-scale data analysis using Spark, with PySpark preferred, and model development using Python or SAS.
  • Experience applying generative AI-based tools and rapidly prototyping new concepts.
  • Some background in model risk management or governance processes, regulatory requirements, and advances in large language models.

Responsibilities

  • Partner with data scientists and expand work to package and productize additional analytics solutions.
  • Deliver the final implementation of innovations, ensuring production code runs within the Ascend platform and Experian software delivered to clients.
  • Craft advanced machine learning analytical solutions and prototypes to extract insights from diverse structured and unstructured data sources.
  • Articulate model processes and outcomes, document and present findings and performance metrics, and translate complex findings into relevant insights.
  • Use generative AI and model development tools to develop models and prototype and deploy generative capabilities, including prompt engineering, fine-tuning, retrieval-augmented generation, and model evaluation frameworks.
  • Develop production-quality code following software engineering best practices, including modular design, version control, code reviews, and automated testing, to ensure reliability and reproducibility.
  • Design and implement advanced algorithms to solve complex challenges using supervised learning, unsupervised learning, deep learning, graph analytics, anomaly detection, and reinforcement learning.

Desired Qualifications

  • Experience with PySpark is preferred.

About the Company

Experian

Venture capital arm funding data startups

Experian Ventures is the venture capital arm of Experian, a global information services company. It provides investment capital and strategic partnerships to startups, helping them grow by leveraging Experian's data assets, technology, and global network. The fund focuses on backing entrepreneurs who can disrupt data- and tech-driven markets, using Experian's platforms and reach to accelerate portfolio companies. Unlike standalone funds, it differentiates itself with access to Experian's scale, data resources, and worldwide offices, enabling closer collaboration and faster go-to-market support. The goal is to fund and mentor startups that can shape the future of information services while expanding Experian's ecosystem and influence across regions.

Company size
1-10
Company stage
Not listed
Total funding
$82M
Headquarters
Costa Mesa, CA
Founded
1995

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