MLOps Engineer

at  Tobania

WHAT CAN YOU EXPECT?

Python Predictions is currently looking for a junior MLOps engineer. In this role, you will need to be able to adapt quickly to new technologies, applications and environments. You will operate with our current clients on a medium to long-term basis.

As an MLOps Engineer, you will help our clients with automating and managing the machine learning lifecyle. More specifically, the responsibilities include:

• Design and implement solutions to automate the experimentation and release cycle of machine learning, from traditional ML to LLMs
• Identify, design, and implement process improvements in the machine learning lifecylce: automating manual processes, optimizing data delivery, re-design infrastructure for greater scalability, etc
• Collaborate with Data Scientists, Machine Learning Engineers, Data Engineers, and other IT roles to integrate all parts of the solution.
• Implement CI/CD pipelines, IaC, monitoring for models and infrastructure
• Coach colleagues and clients in your area of expertise

• Design and implement solutions to automate the experimentation and release cycle of machine learning, from traditional ML to LLMs
• Identify, design, and implement process improvements in the machine learning lifecylce: automating manual processes, optimizing data delivery, re-design infrastructure for greater scalability, etc
• Collaborate with Data Scientists, Machine Learning Engineers, Data Engineers, and other IT roles to integrate all parts of the solution.
• Implement CI/CD pipelines, IaC, monitoring for models and infrastructure
• Coach colleagues and clients in your area of expertis