Scalable Machine Learning Solutions Developer
20 hours ago
**Reimagining Mental Healthcare with Scalable ML Solutions**
We're a team of passionate professionals at Charlie Health Engineering, Product & Design, dedicated to transforming the mental healthcare system. As a Scalable Machine Learning Solutions Developer, you'll play a key role in designing and implementing strategies for deploying and scaling machine learning models in a production environment.
With a strong background in software engineering and machine learning frameworks like TensorFlow or PyTorch, you'll work closely with our data science team to develop and deploy scalable machine learning solutions that transform patient care. Your expertise will help us operationalize ML models that power meaningful outcomes for patients.
**Key Responsibilities:**
- Develop and deploy scalable machine learning solutions for mental healthcare
- Work closely with data scientists and engineers to deploy ML models into production systems
- Design and implement strategies for model deployment and scalability
- Maintain and optimize infrastructure (cloud, servers, containers) for ML model deployment
**Requirements:**
- 3+ years of experience in machine learning engineering or MLOps
- Proven experience deploying ML models to production environments and managing model lifecycle
- Software engineering skills with experience in Python and machine learning frameworks like TensorFlow or PyTorch
- Experience setting up and managing infrastructure for ML models
**Estimated Salary: $165,000 - $230,000 per year**
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