Senior Machine Learning Platform Engineer(m/w/x)

Description

Building ETL pipelines and NLP model endpoints for ESG risk data at a provider with 15+ years of history. Expertise in cloud-based distributed systems and CI/CD automation required. 4-week annual workation option, paid training days.

Requirements

• •Background in data and platform engineering or either field
• •Experience in cloud-based solution architectures and distributed systems
• •Experience setting up and maintaining data and ML pipelines
• •Experience implementing CI/CD pipelines using best practices
• •Experience with Data Warehousing technologies
• •Experience with LLM management and agentic AI deployment
• •System software and management experience in Linux environments
• •Experience with PostgreSQL or NoSQL database architectures
• •Strong Python skills; knowledge of Java or Bash
• •Knowledge of Git, Docker, Kubernetes, Kafka, and ML tools
• •Experience in debugging, troubleshooting, and software testing
• •Analytical thinking, organizational skills, and efficiency
• •Strong communication skills and proficiency in English
• •Possession of a valid work permit

Tasks

• •Develop feature and ETL pipelines
• •Automate data creation processes
• •Manage underlying infrastructure and applications
• •Design and test production-scale ML models
• •Deploy and maintain NLP model endpoints
• •Implement CI/CD pipelines for ML applications
• •Monitor cloud infrastructure for performance and cost
• •Manage the lifecycle and deployment of LLM models
• •Control model access for production and testing

Tools & Technologies

Benefits