Software Engineer
3 weeks ago
H2O.ai is at the forefront of the rapidly evolving MLOps landscape. We're leveraging MLOps to transform machine learning models from isolated, engineer-specific tools into robust, cloud-native services that are scalable and consistently available. Our approach is firmly rooted in Kubernetes, positioning our team at the cutting edge of cloud solutions.
We are looking for a Software Engineer to be part of the MLOPS team in Canada that is entrusted with developing a platform for deploying machine learning models, monitoring them and providing statistical analysis on the deployed models as they are used in real-time. We are looking for an engineer with a strong foundation in software engineering, a passion for cutting-edge technologies, and a drive to push the boundaries of MLOPS.
What You Will Do
- Provide design for new features focusing on the approach and patterns to solve the problem.
- Analyze bug reports, determine root cause and provide fixes.
- Responsible for writing code along with relevant unit test cases.
- Contribute to end-to-end automated tests by ensuring that the newer changes have relevant test cases. Knowledge of Python is beneficial.
- The company uses Kubernetes widely and working with Kubernetes would be an important aspect of the job.
- Review of design and code from other developers. Be engaged in the best software development practices and engage in improving the engineering efficiency of the team.
- Write Infrastructure Code using Terraform and Helm charts for any changes to infrastructure.
- Bachelor's or a higher education degree in Computer Science/Engineering, or related field.
- Proven experience in Software Engineering with a minimum of 3+ years of professional hands-on experience in a similar role.
- Understanding of micro-services patterns and a strong design skills for large scale software development projects
- Experience in GoLang and/or Java with a knowledge of Spring framework.
- At least 1 year of hands-on experience with Kubernetes and Docker.
- Knowledge of Relational Database Design.
- A working knowledge of Python is required.
- A good understanding of Docker, Kubernetes, Terraform and Helm.
- Experience with gRPC.
- Experience with Scala and Akka
- Experience with Apache Druid database.
- Understanding of mainstream Python Machine Learning frameworks such as sklearn, pytorch and data science libraries like numpy and pandas.
- Market Leader in Total Rewards
- Remote-Friendly Culture
- Flexible working environment
- Be part of a world-class team
- Career Growth
H2O.ai is an innovative AI cloud platform company, leading the mission to democratize AI for everyone. Thousands of organizations from all over the world have used our cutting-edge technology across a variety of industries. We've made it easy for people at all levels to generate breakthrough solutions to complex business problems and advance the discovery of new ideas and revenue streams. We push the boundaries of what is possible with artificial intelligence.
H2O.ai employs the world's top Kaggle Grandmasters, the community of best-in-the-world machine learning practitioners and data scientists. A strong AI for Good ethos and responsible AI drive the company's purpose.
Please visit www.H2O.ai to learn more.
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