Machine Learning Engineer

Summary

Join Sherpany, a Swiss market leader in meeting management software, as a Machine Learning Engineer to develop and optimize self-hosted ML pipelines, collaborate with teams, and contribute to AI-feature projects.

Requirements

• Strong background in ML and NLP with proven experience, preferred 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 a proactive, autonomous work style and strong communication verbal and written skills in English

Responsibilities

• Develop, deploy, and optimize self-hosted ML pipelines, focusing on LLM and NLP model performance and reliability
• Collaborate closely with backend, security and DevOps teams to align LLM model architecture with infrastructure and security protocols
• Design workflows for prompt templating, orchestration and optimization of LLMs to power Sherpany’s product features
• Manage model performance monitoring, logging and fine-tuning for continuous improvements
• Develop backend solutions that securely interface with ML models, ensuring efficient API performance and scaling
• Play a pivotal role in translating data science insights into actionable products
• Stay current with AI/ML industry developments and apply best practices to Sherpany’s platform

Benefits

• Flexible working hours and remote-working
• Financial support for further education, trainings etc
• Regular team events and value-driven cooperation