Machine Learning Engineer (Europe-based, remote)

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Requirements:

• Strong background in ML and NLP with proven experience, preferably in self-hosted LLMs (e.g. LLaMA).
• Proficiency in backend engineering, especially in Python and building scalable API integrations.
• Skilled in Docker and Kubernetes/similar for model deployment within on-prem infrastructure.
• Experience with data pipelines, logging, and monitoring for large-scale ML models.
• Solution-oriented team player with proactive, autonomous work style.
• Strong communication skills, both verbal and written, in English.

Responsibilities:

• Develop, deploy, and optimize self-hosted ML pipelines focusing on LLM and NLP model performance.
• Collaborate with backend, security, and DevOps teams to align LLM model architecture with infrastructure.
• Design workflows for prompt templating, orchestration, and optimization of LLMs for product features.
• Manage model performance monitoring, logging, and fine-tuning for continuous improvements.
• Develop backend solutions that interface securely with ML models for efficient API performance and scaling.
• Translate data science insights into actionable products.
• Stay current with AI/ML developments and apply best practices.