Senior Machine Learning Engineer – ML/Inference - Remote

Overview

MARA is redefining the future of sovereign, energy-aware AI infrastructure. We’re building a modular platform that unifies IaaS, PaaS, and SaaS which will enable governments, enterprises, and AI innovators to deploy, scale, and govern workloads across data centers, edge environments, and sovereign clouds.

In Short

• Lead the deployment, optimization, and lifecycle management of AI models.
• Design, build, and maintain scalable inference pipelines.
• Implement and optimize model serving infrastructure.
• Develop and tune Retrieval-Augmented Generation (RAG) systems.
• Collaborate with product and platform teams to integrate model APIs.
• Evaluate, benchmark, and optimize large language and multimodal models.
• Design CI/CD workflows for ML systems.
• Contribute to internal tools for dataset management and evaluation pipelines.
• Monitor production model performance and drive improvements.
• Explore and integrate emerging agentic and orchestration frameworks.

Requirements

• 5+ years of experience in applied ML or ML infrastructure engineering.
• Proven expertise in model serving and inference optimization.
• Strong proficiency in Python with experience building APIs.
• Experience configuring and tuning RAG systems.
• Solid foundation in MLOps practices.
• Familiarity with distributed compute systems and cloud ML stacks.
• Understanding of prompt engineering and LLM evaluation.
• Strong collaboration and documentation skills.

Benefits

• Opportunity to work on cutting-edge AI infrastructure.
• Collaborate with talented teams across multiple domains.
• Flexible working environment with remote work options.
• Engagement in innovative projects with global impact.
• Professional development opportunities in ML and AI.