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Data Scientist AI

Company Description

Varrlyn is a consulting firm which was founded in 2010 and is based in The Netherlands. We help financial institutions with system implementations and provide some serious application support, concentrating on the way they process transactions and deploy reporting applications.

Varrlyn has a proven track record: we have worked for financial institutions in Amsterdam, Brussels, London, Paris, New York, Frankfurt, and Sydney. We help improve cost efficiency, simplify application architecture, optimize time to market, enhance straight-through processing, and ensure compliance with financial regulations. In other words: You do the deal, we’ll do the project.

Job Description

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

As Data Scientist, you will contribute to building, monitoring and optimizing the performance of GenAI solutions across diverse use cases within our client. You’ll be 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.

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 and optimizing the performance of GenAI solutions;
Join-forces with your peers, experts and stakeholders to provide business value to our clients customers.

Qualifications

Technical skills and experience:

You have at least 5 or more years of experience working as a Data Scientist;
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 and experience in building Generative AI applications;

Additional Information

Acquisition in response to this vacancy is not appreciated.

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