MLOps Engineer

Responsibilities

• Design, own, and maintain machine learning infrastructure, partnering with cross-functional teams across the ML lifecycle.
• Drive the roadmap for Akuna’s machine learning infrastructure, tooling, and processes.
• Build and maintain platforms that enable efficient model development, training, deployment, monitoring, and governance.
• Establish best practices for reproducible ML workflows, model lifecycle management, CI/CD, observability, and production reliability.
• Operate and continuously improve ML infrastructure to ensure it is scalable, performant, and reliable.
• Provide technical leadership and guidance to engineering and research teams.

Requirements

• Bachelor’s degree or higher in Computer Science, Engineering, or a related technical field.
• Minimum 3+ years of full-time experience building, deploying, or operating machine learning infrastructure in production environments.
• Hands-on experience with ML infrastructure or data platforms such as Databricks or Spark.
• Strong programming skills in Python, C++, or both within Linux-based environments.
• Effective communication skills and the ability to partner across engineering, research, and business teams.
• Demonstrated ownership and the ability to define and execute a technical roadmap.

About the Company

Akuna Capital is an innovative proprietary trading firm specializing in options market making. We focus on collaboration, cutting-edge technology, and data-driven solutions. We design and implement our own low-latency technologies, trading strategies, and mathematical models to provide liquidity in the global derivatives markets.