The Senior MLOps - DevOps Engineer must accomplish the following:
- Collaborate with data engineers, data scientists, product, etc in a multi-functional team for the delivery and maintenance of these solutions and business integration
- Working closely with the other departments to understand their needs, recommend appropriate solutions, and support the customer on an ongoing basis.
- Estimate infrastructure costs
- Led sprint planning sessions, retrospectives, and code reviews,
- Staying up-to-date with a fast-moving industry, embracing new tools and frameworks,
- Working as part of the team, sharing and reviewing ideas, mentoring and guiding team members through technology architecture and implementation details,
- Leading by example: demonstrating what good looks like through doing,
- Helping to grow the team by taking part in hiring and interviewing.
Who you are:
- Bachelor’s Degree in a Science or Engineering related discipline.
- A passion for coding, data science, and open-source technologies.
- 5+ years of experience in a senior engineering role.
- Ability to lead and mentor a small team of developers.
- Excellent communication skills; both in customer-facing and internal team communication.
- Experience delivering software using an agile development methodology.
- Fluency in Python programming and willingness to learn new languages and technologies as needed. Knowledge of Go is a plus.
- Experience with cloud computing, for example, AWS, Google Cloud, or Azure
- Modern MLOps tools and techniques: infrastructure as code with tools such as Crossplane, Helm or Terraform
- Fluent in our core software tooling: Git, Unix/Linux, Docker, CI/CD. Has a strong opinion on their IDE/editor of choice ;)
- Familiarity with modern machine learning tools, for instance, TensorFlow, Keras, PyTorch or SKLearn.
- Strong experience with Kubernetes.
- Fluency in English
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