
Machine Learning Engineer Leader
6 hours ago
This role is focused on leading the machine learning lifecycle from model development to deployment. The successful candidate will have a deep understanding of machine learning concepts and be able to architect scalable solutions.
- Key Responsibilities:
- Develop and implement machine learning models that meet business requirements.
- Collaborate with cross-functional teams to ensure seamless integration with existing systems.
- Design and implement data pipelines that enable efficient data processing and analytics.
- Own the end-to-end model lifecycle, ensuring resilient services with clear SLOs and fast, safe rollbacks.
Requirements:
- Bachelor's degree in Computer Science, Engineering, Data Science, or a related field and 3+ years of relevant experience.
- Experience with Python for ML engineering and developing GitLab CI for ML/GenAI.
- Deep understanding of machine learning concepts and ability to apply them to real-world problems.
- Strong leadership skills and ability to collaborate with cross-functional teams.
- Ability to communicate complex technical concepts to both technical and non-technical stakeholders.
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