Senior Machine Learning Engineer

over 4 years ago

Barcelona, Spain

Senior / Mid Level

H1B Sponsor

Responsibilities

Leverage genAI for web research and task automation.
Build scalable, cost-efficient, and fault-tolerant solutions in AWS or GCP.
Design, integrate, and optimize end-to-end AI pipelines using a data-driven approach.
Develop and manage ML infrastructure and CI/CD pipelines to support data products.
Provide engineering mentorship and guidance to data scientists.
Collaborate with ML engineers, data engineers/scientists, product, and operations teams.
Partner with data quality teams to develop data annotation and evaluation pipelines, monitoring solutions, and dashboards.

Proven ability to take ideas into a production system at scale with cost-effective emphasis.
Experience in genAI frameworks and agentic development.
Experience with asynchronous and batch APIs for GenAI and web search.
4+ years of experience in professional software development with solid programming skills in Python.
2+ years of experience in cloud development, preferably in AWS.
2+ years of experience as a Machine Learning Engineer or in relevant roles.
Up-to-date knowledge of the latest ML innovations and frameworks.
Experience in infrastructure automation and provisioning using Terraform or equivalent IaC tools.
Professional in ML operationalization, including workflow/model management platforms.
Great skills in Data Engineering, including data pipelines and ETLs.
Experience in containerization, Kubernetes, and relevant distributed computing for training and inference.
Strong collaboration skills and good verbal and written communication skills in English.

Apache SparkAWSGoogle Cloud PlatformKubernetesPythonTerraform