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Senior Machine Learning Engineer / LLM Engineer - AI Enabler Team - Remote

Posted 75 weeks ago
Software Development
Full Time
Worldwide
€6,500 - €9,000/month

Overview

Cast AI is the leading Kubernetes automation platform for AWS, GCP and Azure customers, on a mission to deliver a fully automated Kubernetes experience utilizing advanced machine learning algorithms.

In Short

  • Evaluate and analyze LLM performance.
  • Fine-tune LLMs.
  • Optimize AI models for cost efficiency.
  • Develop and implement data science solutions.
  • Monitor and improve AI systems.
  • Stay up to date with industry trends.
  • Collaborate with colleagues from other teams.
  • Work on a technical greenfield project.
  • Direct impact on product development.
  • Focus on customer value and continuous improvement.

Requirements

  • Strong software engineering skills in Python.
  • 5+ years of hands-on experience in Data Science and Machine Learning.
  • Must be physically in any of the European countries GMT 0 to GMT +3.
  • Strong English skills.
  • Strong verbal and written communication skills.
  • Ability to work independently and collaborate in a group.

Benefits

  • Competitive salary (€6,500 - €9,000 gross, depending on experience) with equity options.
  • Direct impact on the product in a cutting-edge company.
  • Collaborate with a global team of cloud experts.
  • Fast development cycles with direct customer impact.
  • Transparent work environment.
  • Focused work with minimal meetings.
  • 10% of your time dedicated to self-improvement.
CAST AI logo

CAST AI

Cast AI is a pioneering Application Performance Automation (APA) platform that empowers organizations to optimize cloud costs, enhance performance, and increase productivity automatically. Originally designed for Kubernetes, the platform extends its capabilities to provide real-time, autonomous optimization across various cloud environments. With a global presence, Cast AI serves over 2,100 companies, including industry leaders like BMW and Akamai, and is committed to setting new standards in DevOps and MLOps. Headquartered in Miami, Florida, the company is backed by a $108M Series C funding round and is focused on continuous innovation in cloud-native solutions.

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