Senior Machine Learning Engineer - Remote

Overview

The Senior Machine Learning Engineer will contribute to the design, development, and deployment of cutting-edge machine learning systems at Enable, a leading SaaS company focused on pricing and rebate management.

In Short

• Design, build, and deploy RAG systems and AI agent architectures.
• Contribute to model development processes including fine-tuning and distillation.
• Build evaluation pipelines to benchmark LLM performance.
• Work across the ML stack from data preparation to serving.
• Optimize model pipelines for latency, scalability, and cost-efficiency.
• Collaborate with MLOps, DevOps, and data engineering teams.
• Stay informed on current research in LLMs and generative AI.
• Participate in roadmap planning and design reviews.

Requirements

• 5+ years of experience in machine learning engineering.
• Bachelor’s or Master’s degree in Computer Science or related field.
• Strong foundation in machine learning and data science fundamentals.
• Experience building and deploying RAG systems and LLM applications.
• Proficiency in Python and ML libraries like PyTorch and TensorFlow.
• Experience with vector search tools and retrieval frameworks.
• Hands-on experience with fine-tuning large language models.
• Comfortable with cloud platforms and containerization.
• Experience monitoring ML systems in production.
• Strong communication skills to work across disciplines.

Benefits

• Opportunity to work in a fast-moving and collaborative environment.
• Contribute to innovative solutions in the AI field.
• Be part of a company positioned for significant growth.
• Collaborate with top-tier professionals in the industry.