Machine Learning Engineer (LLM Fine-Tuning) - Remote

Overview

The Machine Learning Engineer will focus on fine-tuning and deploying Large Language Models (LLMs) to enhance user interactions with expert insights.

In Short

• Fully remote role.
• Contract position with a rate of up to USD78/hour.
• Design, fine-tune, and deploy LLMs.
• Optimize ML models for performance, cost, and latency.
• Build and maintain data pipelines for model training.
• Collaborate with teams to integrate AI features.
• Explore new techniques in prompt engineering and model optimization.
• Strong background in machine learning engineering required.
• Experience with Python and ML frameworks needed.
• Excellent communication skills are essential.

Requirements

• Proven experience with LLMs (OpenAI, Anthropic, etc.).
• Strong background in machine learning engineering.
• Experience with Python and frameworks like PyTorch and TensorFlow.
• Understanding of NLP and model evaluation.
• Experience building end-to-end ML systems.
• Familiarity with MLOps tools and cloud infrastructure.
• Excellent communication and documentation skills.

Benefits

• Work with a high-impact team passionate about AI.
• Fully remote and flexible working schedule.
• Opportunity to influence the AI roadmap of the company.