AI Data Engineer for Large Scale Machine Learning Systems

hace 2 días


Barcelona, Barcelona, España Intent Hq A tiempo completo

About Intent HQ, a leading innovator in Customer AI Analytics and Data Science, we are looking for an expert to engineer and operate large-scale data and machine learning systems. Our mission is to deliver AI solutions at scale, with privacy, security, and data ethics as core principles.

The Opportunity:
We process over 100 billion events daily, providing deep insights into customer behaviors. You will collaborate with data scientists, product teams, and engineers to design and maintain the infrastructure that powers our AI products.

Key Responsibilities:
1. Design, implement, and manage our end-to-end Data & ML Platform, supporting all AI product development and deployment.
2. Productionise machine learning models and manage them across the full lifecycle—from model training to deployment and monitoring—while ensuring scalability, security, and performance.
3. Advise on architectural patterns and tooling to enable data and machine learning workloads at scale.

What we're looking for: Required skills and qualifications
1. 7+ years of industry experience writing clean, production-grade code, with a deep focus on data engineering, machine learning, and MLOps workflows.
2. Expertise in distributed data processing frameworks such as Spark, handling multi-terabyte datasets to generate valuable insights.
3. Proficiency in building and orchestrating data and machine learning pipelines, supporting data engineering, model training, and inference at scale.
4. Python as the primary programming language.
5. Experience designing and maintaining large-scale, data-intensive applications that can support real-time or near-real-time workloads.
6. Proven experience with CI/CD pipelines for packaging, deploying, and operating AI models at scale.
7. Hands-on experience with MLOps infrastructure design and implementation, ensuring smooth operations of models in production environments.
8. Ability to take initiative and ownership of tasks, with excellent collaboration and communication skills.
9. Experience working with at least one of the major cloud providers (AWS, GCP, Azure).

Benefits:
We offer flexible working hours and fully remote options, 24 days holiday plus public holidays, Edenred Flexible benefit, Oliva Mental Health platform and counselling, Annual team retreats and trips to our London office, Macbook Pro, Training opportunities.



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