Applyπ U.S.
πΈ 110000 - 180000 USD per year
π Distributed Data Systems, Platforms at Scale, Complex Application Development
- 5 years of relevant hands-on experience.
- Strong practical experience in Software Engineering.
- Practical experience designing, training, and deploying Machine Learning models (PyTorch preferred).
- Experience with Kubernetes and Docker.
- Pragmatic knowledge of various ML subfields, especially NLP, CV, and Time Series.
- Experience building and maintaining machine learning pipelines.
- Experience in using data processing frameworks (Apache Spark preferred).
- Practical programming and scripting skills (Python preferred).
- Excellent problem-solving skills and attention to detail.
- Proven experience with modern software development practices including scrum/agile, Git, and DevOps.
- Collaborate with a cross-functional data team comprising other AI/ML Engineers, DevSecOps engineers, Product Owners, Data Engineers, Data Analysts, and Data Scientists.
- Develop Machine Learning models that are integral to a larger pipeline delivering value to our end customers.
DockerPythonSoftware DevelopmentAgileGitKubernetesMachine LearningPyTorchSCRUMSparkCommunication SkillsCollaborationDevOpsAttention to detail
Posted 2024-11-19
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