Design, build, and support Machine Learning platforms for AI capabilities. Work on egaming, trading, and payments projects. Collaborate with the Data Platforms team.
Key Highlights
Key Responsibilities
Technical Skills Required
Benefits & Perks
Job Description
DevOps - MLOps - Fully Remote
Our client is a leading tech consultancy and software development firm.
Offering fully remote working, working on a range of egaming, trading and payments projects they’re looking to hire an MLOps Engineer with great DevOps / Platform knowledge and exp of KubeFlow.
You’ll work in their Data Platforms team and be key in the design, building and support of Machine Learning platforms to deliver the power and scale of AI capabilities.
Work will include the design and deployment of high quality, scalable platforms for running production Machine Learning software, helping define the overall strategy and roadmap for ML and AI and supporting platform deployments and CI/CD tools and processes.
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You’ll need a positive, growth, mindset, great experience of ML frameworks and software delivery and good knowledge of DevOps, MLOps and Security.
Requirements:
- Proven MLOps experience
- Good knowledge of Cloud - AWS, Azure, GCP, OpenStack etc
- Strong DevOps experience - Kubernetes, IaC, CI/CD etc
- KubeFlow and Machine Learning exp
- Coding / scripting skills
- Good, overall, understanding of software development, modern tech and frameworks
- Solid Linux knowledge can't hurt!
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Tech / Tools you’ll be working with (some of them!)
- Kubeflow
- Spark / MLlib / Tensorflow / PyTorn
- REST / FastAPI
- Docker / Kubernetes
- Terraform / Ansible
- GitOps
- Python / Bash
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