MLOps Engineer (LLM Serving and Infrastructure) - Remote

Overview

Join the CloudWalk Wolfpack as a MLOps Engineer, where you will operationalize advanced AI research into scalable solutions.

In Short

• Work with cutting-edge AI technologies.
• Focus on Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG).
• Ensure smooth deployment and management of LLMs.
• Optimize network communication and parallel processing.
• Collaborate with LLM Data Scientists.
• Drive innovation in AI solutions.
• Contribute to high-performance infrastructure.
• Play a critical role in operationalizing AI research.
• Be part of a pioneering team in AI.
• Work in a dynamic and innovative environment.

Requirements

• Experience in MLOps.
• Strong understanding of AI and machine learning concepts.
• Familiarity with Large Language Models.
• Knowledge of network communication protocols.
• Experience with parallel processing techniques.
• Ability to work collaboratively in a team.
• Problem-solving skills.
• Strong communication skills.
• Passion for AI and technology.
• Relevant educational background in computer science or related fields.

Benefits

• Opportunity to work with cutting-edge technology.
• Collaborative and innovative work environment.
• Professional growth and development opportunities.
• Competitive salary and benefits.
• Work with a talented team of professionals.
• Contribute to impactful AI projects.
• Flexible working arrangements.
• Access to the latest tools and technologies.
• Engagement in a pioneering AI company.
• Supportive company culture.