Are you a passionate Machine Learning Engineer with a strong background in healthcare? Do you thrive on leveraging cutting-edge technology to make a meaningful impact on the medical industry? Look no further! Join us at a prominent medical scheme company as we revolutionize healthcare through the power of machine learning and data-driven insights.
- Collaborate with cross-functional teams to understand business requirements and develop innovative machine learning solutions.
- Design, develop, and deploy machine learning models that analyze healthcare data to drive actionable insights.
- Apply your expertise in Natural Language Processing (NLP) to extract valuable information from medical documents and records.
- Utilize Keras and scikit-learn to build, train, and evaluate predictive models for medical diagnosis and risk assessment.
- Implement DevOps practices to ensure seamless integration and deployment of machine learning pipelines.
- Ensure model performance, scalability, and reliability in a production environment.
- Stay up-to-date with the latest advancements in machine learning, healthcare technology, and relevant industry trends.
- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
- 5-8 years of professional experience as a Machine Learning Engineer or a similar role.
- Strong proficiency in Python and/or Java for developing and implementing machine learning algorithms.
- Extensive experience with machine learning libraries such as Keras, scikit-learn, TensorFlow, or PyTorch.
- Solid understanding of Natural Language Processing techniques for text analysis and information extraction.
- Proven ability to build end-to-end machine learning pipelines from data preprocessing to model deployment.
- Hands-on experience with DevOps practices and tools for continuous integration and deployment.
- Prior experience working in the healthcare or medical domain is a strong plus.
The Reference Number for this position is MM57491 which is a Permanent position based in Johannesburg offering a cost to company of up to R1Mil Per Annum negotiable on experience and ability. Contact Mpho at email@example.com or call him at 011 463 3633 to discuss this and other opportunities.
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