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Sr. ML Ops Engineer - Remote Eligible
Design and implement scalable machine learning pipelines for clinical trial data analysis.
RemoteLos Angeles
Senior
2 months ago
Deep 6 AI
A technology firm specializing in AI-driven healthcare analytics to accelerate patient recruitment for clinical trials.
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✨ About The Role
- The Sr. ML Ops Engineer will develop and maintain scalable machine learning pipelines to support various ML models.
- The role involves automating workflows for data preprocessing, model training, evaluation, and deployment.
- Continuous monitoring and optimization of ML models in production to ensure they meet performance and accuracy standards is a key responsibility.
- Collaboration with data scientists, software engineers, and other stakeholders is essential to integrate ML solutions into existing systems.
- The engineer will implement best practices for data security and compliance, ensuring adherence to relevant regulations.
- Comprehensive documentation of ML processes, workflows, and systems will be maintained, along with regular reporting on model performance.
⚡ Requirements
- The ideal candidate will have deep knowledge of traditional machine learning concepts and recent deep learning fundamentals.
- Proficiency in JVM languages is essential for this role, along with familiarity with CI/CD tools and methodologies.
- Experience with containerization and orchestration tools, such as Docker, is required.
- A strong understanding of cloud-based ML platforms, particularly Amazon Sagemaker, is necessary.
- The candidate should possess a mature theoretical grasp of different neural networks on large-scale datasets.
- A collaborative attitude and a strong sense of ownership are crucial for success in this position.
- Familiarity with clinical data and concepts will be beneficial for this role.
About Deep 6 AI
A technology firm specializing in AI-driven healthcare analytics to accelerate patient recruitment for clinical trials.