Apply📍 Europe, East coast of USA, Canada
🧭 Full-Time
🔍 Artificial Intelligence
- 5+ years of professional experience in machine learning and strong background in software engineering.
- Comfortable with open source development work.
- Experience with deep learning frameworks, such as PyTorch, is a plus.
- Experience with large-scale dataset processing and data augmentation techniques.
- Experience with managing experiments and models using platforms like Weights and Biases, MLFlow, KubeFlow.
- Strong proficiency in Python and familiarity with relevant libraries and tools.
- Comfortable working in the cloud, including containerization and cloud resource management.
- Excellent problem-solving skills and ability to work independently or as part of a team.
- Effective communication skills, including translating technical concepts to non-technical stakeholders.
- Demonstrated track record of delivering high-quality, scalable solutions in a fast-paced environment.
- Develop tools to streamline development, management, and evaluation of models.
- Collaborate on the design and build end-to-end machine learning pipelines on cloud infrastructure.
- Prepare and preprocess datasets for model evaluation.
- Run and manage experiments related to model evaluation and training.
- Evaluate model performance using standard metrics and techniques.
- Collaborate with other teams to ship features.
- Implement MLOps best practices for model deployment and monitoring.
- Engage with stakeholders, translating technical details into insights.
- Contribute to the product engineering lifecycle, from ideation to deployment.
PythonMachine LearningMLFlowPyTorchCommunication SkillsCollaboration
Posted 2024-09-08
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