About this role
Lead the design, implementation, and maintenance of Akuna's machine learning infrastructure and tooling. Partner with cross-functional teams to support the full ML lifecycle from research to production deployment and monitoring.
Requires a Bachelor's degree or higher in Computer Science or Engineering with professional experience operating ML infrastructure in production. Proficiency in Python or C++ and experience with platforms like Databricks or Spark are essential.
What they're looking for
MLOpsMachine Learning InfrastructurePythonC++DatabricksSparkCI/CDLinux
Frequently asked questions
What does a MLOps Engineer at Akuna Capital do?
Lead the design, implementation, and maintenance of Akuna's machine learning infrastructure and tooling. Partner with cross-functional teams to support the full ML lifecycle from research to production deployment and monitoring. Requires a Bachelor's degree or higher in Computer Science or Engineeri…
What skills does this MLOps Engineer role need?
Key skills for this role include MLOps, Machine Learning Infrastructure, Python, C++, Databricks, Spark.
How much does a MLOps Engineer at Akuna Capital pay?
The employer did not list a salary for this role. Most similar Singapore roles publish their band on the job page.
Is this MLOps Engineer role remote, hybrid, or on-site?
This role is on-site, based in Singapore.
How do I apply for this MLOps Engineer role?
You can apply directly on Akuna Capital's careers page. ApplyLah can tailor your résumé and cover letter to this exact role in seconds first.