Machine Learning Engineer

November 8

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SHERPANY

Corporate Governance • Decision Management • Meeting Management • Digitisation • Digital transformation

51 - 200

💰 Series B on 2020-06

Description

• Develop, deploy, and optimize self-hosted ML pipelines focusing on LLM and NLP • Collaborate with backend, security and DevOps teams to align LLM model architecture • Design workflows for prompt templating and optimization of LLMs • Manage model performance monitoring and fine-tuning for improvements • Develop backend solutions that securely interface with ML models for efficient API performance

Requirements

• Strong background in ML and NLP with experience in self-hosted LLMs (e.g. LLaMA) • Proficiency in backend engineering, especially in Python and 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 work style and strong English communication skills

Benefits

• Flexible working hours • Remote working • Financial support for further education and trainings • Regular team events • Value-driven cooperation

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