MLOps Engineer
6.0/10
Akuna Capital
Not specified
Office / on-site
mid
10 days ago
aitechmachine learningPythonC++LinuxDatabricksSpark
AI Summary
The vacancy is strong in task clarity and technical requirements but lacks compensation details.
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Description
What you’ll do as a MLOps Engineer at Akuna
- •Design, own and maintain the machine learning infrastructure, partnering with cross functional teams across the lifecycle of key ML initiatives.
- •Own and drive the roadmap for Akuna’s machine learning infrastructure, tooling, and processes.
- •Take a hands-on role designing, building, and maintaining 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, reliable, and easy for researchers and engineers to use.
- •Provide technical leadership and guidance to engineering and research teams adopting ML infrastructure capabilities.
Requirements
Requirements
- •Bachelor’s degree or higher in Computer Science, Engineering or a related technical field.
- •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 in Linux-based environments.
- •Effective communication skills, with the ability to partner effectively across engineering, research, and business teams.
- •Demonstrated ownership, technical leadership, and ability to define and execute a roadmap.
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