ML Engineer

Overview

We’re partnering with a leading global company renowned for its innovative approach to connecting people with sustainable solutions. This organization is at the forefront of digital transformation, constantly seeking to enhance user experiences and operational efficiency through cutting-edge technology. As an Aquent talent, you’ll join a dynamic team dedicated to shaping the future of a rapidly growing peer-to-peer marketplace, directly impacting its scalability and reach. This is a unique opportunity to deploy impactful machine learning and generative AI solutions into production, driving real-world change from day one.

About the Opportunity

Step into a pivotal role where your expertise will be instrumental in designing, building, and deploying advanced machine learning and generative AI solutions. You’ll be at the heart of innovation, developing sophisticated systems, including large language models (LLMs) and agentic frameworks, that will define the next generation of digital commerce. This is a chance to make a significant impact within a newly formed, agile team, contributing directly to the growth and success of a groundbreaking platform.

You will thrive in a collaborative, cross-functional product team environment, working alongside Product, Engineering, and Design professionals. Additionally, you’ll be an integral part of a broader Data & Machine Learning community, fostering close collaboration with Data Scientists, Data Engineers, and Data Analysts to push the boundaries of what’s possible.

This is a 6-months fixed term salaried position contracted via Aquent on behalf of our client as a third party. There is the possibility for extension. 

Due to the contracting nature of this role, only candidates with unrestricted rights to work in The Netherlands will be considered. 

What You’ll Do:

• Design, fine-tune, and deploy large language models (LLMs) to power intelligent features.
• Build and deploy robust, production-ready machine learning models with high reliability and low latency.
• Integrate with external APIs to facilitate large-scale data ingestion and enhance model capabilities.
• Develop scalable APIs and tools that leverage state-of-the-art AI to deliver innovative solutions.
• Contribute to the strategic growth and scalability of a peer-to-peer marketplace.

What You’ll Bring:

**Must-Have Qualifications:**

• 4-7 years of experience in a relevant technical role.
• Proven experience in monitoring and maintaining model performance, including retraining strategies and comprehensive model lifecycle management.
• Solid understanding and practical application of MLOps best practices for generative AI, encompassing CI/CD pipelines, robust evaluation metrics, and thorough prompt testing.
• High proficiency in Python and modern machine learning frameworks.
• Exceptional problem-solving and analytical thinking skills, with a track record of tackling complex technical challenges.

**Required Skills & Experience:**

• Experience collaborating with DevOps teams to optimize compute resource scaling across leading cloud environments cost-effectively.
• Strong foundational knowledge in data engineering principles and practices.
• Familiarity with leading cloud platforms and containerization technologies (e.g., Docker, Kubernetes).
   

Client Description

A leading global retailer in the home furnishings and lifestyle industry, focused on providing affordable, sustainable solutions to enhance everyday living. They serve a diverse customer base across multiple regions, driven by a vision to create a better, more sustainable everyday life through innovative products and eco-friendly practices.

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Aquent is dedicated to improving inclusivity & is proudly an equal opportunities employer. We encourage applications from under-represented groups & are committed to providing support to applicants with disabilities. We aim to provide reasonable accommodation for any part of the employment process, to those with a medical condition, disability or neurodivergence.