MLOps Lead / ML Platform Engineer

BACKENDdistanceREMOTECONTRACT
MLOps Lead / ML Platform Engineer
Our client builds an AI product for creative professionals, and machine learning is at the core of it. They need an MLOps Lead who connects the ML researchers with the software engineers. You will take ownership of the ML infrastructure, make the daily work of the ML teams easier, and make sure that new models and features get to production without problems.
The work is hands-on. You will design, build and operate the pipelines, the tooling and the processes that the ML teams use to train, test, release and monitor their models.
PythonMLOpsCI/CDDockerAWSKubernetesPyTorchTensorFlow
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Apply via email
recruitment@qbitech.iomail
Contact
Questions? Reach out directly.
person
Arsenije
arsenije@qbitech.io
Responsibilities
check_circle Take ownership of the ML infrastructure and the CI/CD pipelines, and keep improving them
check_circle Watch the production systems, investigate incidents, and make alerting and automation better
check_circle Control how models and ML features are released from one environment to the next
check_circle Keep the code quality high, the systems reliable and the architecture ready to scale
check_circle Create and support internal tools that make ML development faster
check_circle Help with releases find the risks early and make delivery more efficient
check_circle Look after the core infrastructure and the internal platforms that are already in place
shieldRequirements
At least 5 years of work in MLOps, DevOps, backend engineering or a related field
Very good Python
Practical experience with CI/CD, Docker and a public cloud, ideally AWS
Good knowledge of how ML models are developed, released and operated
A strong problem solver with solid system design skills
A plus: Kubernetes, PyTorch or TensorFlow, data pipelines, model versioning
What will be your next steps?
01chat_bubble
Quick non-technical conversation
Our initial conversation is a brief, non-technical discussion to understand your background and career aspirations. We're keen to learn about your communication style and how you approach teamwork and decision-making.
02code
60 to 90 minutes technical interview
This in-depth technical assessment, lasting 60 to 90 minutes, is designed to evaluate your specific skills and expertise. We will present you with challenges relevant to our client’s requirements.
03groups
Client interview
In this stage, you will meet directly with the client for a final technical discussion. This interview will be similar in format to our internal technical assessment, allowing the client to see firsthand how your expertise aligns with their specific project needs and team.
04workspace_premium
Offer
Congratulations on successfully completing our evaluation process. We are pleased to extend an offer and recommend you to our clients.
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