Data Engineer for Large-Scale AI Systems Barcelona
hace 5 días
About Us
Intent HQ is a leader in Customer AI Analytics and Data Science, recognised by the Financial Times as one of the FT1000 Fast growing companies in Europe. We have a blue chip international enterprise customer base and solid financial backing from our investors.
We are on a mission to become the world's preeminent Customer Intent platform by bringing together privacy-first signals intelligence, proprietary behavioural AI/ML analytics uniquely accessible enterprise insights into a single platform that organisations will use to build more genuine, sustainable and profitable relationships with their customers.
Our initial focus solved problems for clients in the telecommunications sector, including Verizon Orange. We have since expanded into the Financial Services, Retail and Social Media sectors including HB Reavis and Zurich Group as clients to name a few.Our clients typically have tens of millions of customers and billions of interaction events each day.We have developed our platform to handle data at this enormous scale efficiently.
The Opportunity
We are looking for a Senior Machine Learning Engineer who is passionate about leveraging data, scaling ML systems, and building robust MLOps pipelines to deliver AI solutions at scale. As a key member of our team, you will collaborate with data scientists, product teams, and engineers to design and maintain the infrastructure that powers our AI products, with privacy, security, and data ethics as core principles.
Your Key Responsibilities
- Design, implement, and manage our end-to-end Data ML Platform, which supports all AI product development and deployment.
- Productionise machine learning models and manage them across the full lifecycle—from model training to deployment and monitoring—while ensuring scalability, security, and performance.
- Advise on architectural patterns and tooling to enable data and machine learning workloads at scale.
- You'll work closely with data scientists to ensure the platform supports experimentation, model training, and inference efficiently.
- Collaborate with product and consulting teams to design and deliver platform capabilities that directly benefit our customers.
- Champion a culture of experimentation and continuous improvement by taking ownership, learning from mistakes, and contributing to the growth of your colleagues.
What We're Looking For
- 7+ years of industry experience writing clean, production-grade code, with a deep focus on data engineering, machine learning and MLOps workflows.
- Expertise in distributed data processing frameworks such as Spark, handling multi-terabyte datasets to generate valuable insights.
- Proficiency in building and orchestrating data and machine learning pipelines, supporting data engineering, model training, and inference at scale.
- Python as the primary programming language.
- Experience designing and maintaining large-scale, data-intensive applications that can support real-time or near-real-time workloads.
- Proven experience with CI/CD pipelines for packaging, deploying, and operating AI models at scale.
- Hands-on experience with MLOps infrastructure design and implementation, ensuring smooth operations of models in production environments.
- Ability to take initiative and ownership of tasks, with excellent collaboration and communication skills.
- Experience working with at least one of the major cloud providers (AWS, GCP, Azure).
Why Join Us?
At Intent HQ, we offer a competitive salary range of €80k-€90k depending on experience. Our benefits package includes flexible working hours and fully remote options, 24 days holiday + public holidays, Edenred Flexible benefit, Oliva Mental Health platform and counselling, annual team retreats and trips to our London office, Macbook Pro, and training opportunities.
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