Machine Learning Operations Specialist
3 weeks ago
Role Overview
We are seeking an experienced Machine Learning Engineer to join our data team in a FinTech scaleup. As the first MLOps Engineer, you will play a key role in shaping the future of ML operations and working closely with the Data Science Manager.
Key Responsibilities
- Design and implement efficient ML pipelines for model training, deployment, and monitoring.
- Develop and maintain robust data infrastructure to support simulations and production usage.
- Collaborate with data scientists to integrate the latest advancements in machine learning into production.
- Automate the ML lifecycle, focusing on scalability and efficiency.
Requirements
- Proven experience in building and maintaining operational ML systems.
- Proficiency in Python and familiarity with ML/Data Engineering libraries.
- Strong understanding of DevOps practices such as CI/CD, containerization (Docker, Kubernetes), and version control (Git).
Desirable Skills
- Experience with the tech stack listed above.
- Experience working in FinTech startups or scaleups.
About the Role
This is an exciting opportunity to be at the forefront of developing an ML infrastructure that will power key business decisions. If you're passionate about operationalizing machine learning models and thrive in dynamic startup/scaleup environments, please apply.
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