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Machine Learning (Ops) Engineer
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$140,000 - $180,000 a year
Full-time
- The database market is undergoing a generational shift and is one of the largest market opportunities in enterprise software due to big trends like the need for digital transformation, acceleration to the cloud and innovation at the edge.
- ML Model Deployment: Automate and streamline the deployment of machine learning models to production, ensuring they are scalable, secure, and efficient.
- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field, with a focus on machine learning, AI, or data science.
- Proven experience (5+ years) in MLOps, DevOps, or software engineering, with a strong understanding of machine learning models and algorithms.
- Proficiency in programming languages such as Python, and experience with machine learning frameworks (e.g., TensorFlow, PyTorch).
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