Remote Senior Machine Learning Engineer - LLM Specialist - Octopus by RTG

Description:

• The position is for a Senior Machine Learning Engineer – LLM Specialist at Octopus by RTG in Egypt.
• The role involves building production-ready GenAI solutions that utilize state-of-the-art Large Language Models (LLMs).
• It is a hands-on position focused on designing, fine-tuning, and deploying ML systems that deliver real-world impact.
• The engineer will collaborate across teams to integrate LLMs into scalable products and solve complex NLP challenges.
• The opportunity is remote-first, within a highly technical and fast-paced environment that values deep expertise and innovation.
• Key responsibilities include designing and developing scalable LLM/ML solutions using commercial APIs and open-source models, fine-tuning LLMs for domain-specific applications, and collaborating with cross-functional teams to integrate models into production environments.
• The engineer will also engage with international teams and support client-facing initiatives as required.

Requirements:

• A minimum of 1.5 years of hands-on experience specifically with LLMs and GenAI is required, with 2+ years preferred.
• Strong expertise in working with LLM APIs and open-source architectures such as LLaMA and Mixtral is necessary.
• Proven experience in building and deploying production-grade LLM-based solutions is essential.
• A background in fine-tuning open-source models for specific domains is required.
• Candidates should have at least 4+ years of overall experience in machine learning, excluding internships or academic work.
• A deep understanding of NLP and proficiency across multiple ML domains is expected.
• Strong collaboration skills and the ability to communicate technical concepts effectively in diverse, global teams are crucial.

Benefits:

• The position offers the opportunity to work on international, high-impact AI projects.
• There is exposure to the latest GenAI technologies and open-source ecosystems.
• The work environment is collaborative and remote-first, connected to global teams.
• Flexible work arrangements are available, with potential for onsite opportunities.
• Employees will be part of a growing AI division with access to continuous learning and development.