Medior Data Scientist for Generative AI Solutions

magno it recruitment • Netherlands
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AI Summary

Contribute to building, monitoring, and optimizing Generative AI solutions across diverse use cases within a financial institution. Explore topics such as responsible GenAI, performance monitoring, red teaming, and evaluating GenAI models for fairness and bias. Work in a culture that values initiative, adaptability, collaboration, and impact.

Key Highlights
Build responsible and cost-effective GenAI solutions
Contribute to building, monitoring, and optimizing GenAI solutions
Work in a culture that values initiative, adaptability, collaboration, and impact
Key Responsibilities
Design and build responsible GenAI solutions
Contribute to building, monitoring, and optimizing GenAI solutions
Collaborate with team members to solve critical or complex problems
Technical Skills Required
Python NLP LLMs
Benefits & Perks
Healthy work-life balance
Freedom for thought leadership, learning, and growth
Full leadership support
Nice to Have
Experience in building Generative AI applications

Job Description


Are you a Data scientist who has experience building GenAI applications?

How about a role at a financial institution in Utrecht?

General information

  • Start date: Negotiable
  • Duration: First contract is until 31-12-2026, with rolling extension.
  • No. of working hours: 36 hours per week
  • Location: Office day on Thursday’s Utrecht
  • Contract type: Payroll
  • VISA sponsorship: Yes if already in the NL

What is the project about?

The Responsible GenAI squad drives the development and implementation of Generative AI solutions that enable the bank to apply AI effectively in practice. These solutions enhance the customer journey, streamline data processing, answer internal staff queries, and generate insights and reports tofacilitateworkflows. To accelerate innovation, the team also develops APIs that help other teams build GenAI solutions faster and more efficiently.

As Medior Data Scientist, you will contribute to building, monitoring, andoptimizingthe performance of GenAI solutions across diverse use cases within the bank.Youllbe at the forefront of creating tools that tackle complex challenges, improve efficiency, and unlock new opportunities. Your work will involve exploring topics such as responsible GenAI, performance monitoring, red teaming, and evaluating GenAI models for fairness and bias.

What makes this role special

  • Work in a culture that values initiative,adaptability, collaborationand impact.
  • Freedom for though leadership, learning and growth-with full leadership support.
  • A healthy work-life balance because sustainable performance matters.
  • We value curiosity,resilienceand the ability to learn fast.

Practical examples

  • Work directly with (internal) customers to learn how processes and systems work.
  • Be accountable for building responsible and cost effective GenAI solutions for millions of customers.
  • Enabling the performance and monitoring of the reusable GenAI building blocks can be used by 100+ tech teams.
  • Design and build responsible and cost effective GenAI solutions
  • Collaborate with team members to solve critical or complex problems.

Top responsibilities

  • Design and build responsible GenAI via performance monitoring, red teaming, and evaluating GenAI models for fairness and bias.
  • Contribute to building, monitoring, andoptimizingthe performance of GenAI solutions
  • Join-forces with your peers, experts and stakeholders to provide business value to customers.

Requirements

  • You have at least 4 or more years of experience working as a Data Scientist or in a similar field
  • You have strong programming skills (software engineering experience is a plus) and are proficient in Python
  • You have a solid understanding of NLP and LLMs. Experience in building Generative AI applications is a strongly encouraged.

Does this role spark your interest? Then please provide me with your most recent resume and contact details, so that we can discuss this vacancy more detailed by phone!

You can check other job opportunities in our website: Jobs – Magno IT

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