Senior Machine Learning Engineer
6 days ago
- Design, develop, and implement machine learning models and algorithms to solve complex healthcare problems.
- Develop and deploy models using frameworks such as Scikit-learn, TensorFlow, and PyTorch.
- Perform exploratory data analysis (EDA), statistical analysis, and feature engineering to extract meaningful insights from data.
- Collaborate with cross-functional teams to translate business requirements into scalable technical solutions.
- Manage the full lifecycle of AI/ML projects, including data preparation, model development, optimization, and deployment.
- Stay up-to-date with the latest advancements in AI/ML tools and techniques, identifying opportunities to enhance existing solutions.
- A Bachelor's degree in Computer Science, Mathematics, or a related field.
- Proficiency in programming languages such as Python, R, or SQL.
- Experience with machine learning libraries and frameworks such as scikit-learn, TensorFlow, or PyTorch.
- Familiarity with data analysis tools and techniques, including EDA and statistical analysis.
- Strong communication and collaboration skills.
We offer a competitive salary and benefits package, as well as opportunities for professional growth and development.
About Us:We are a global organization that delivers care, aided by technology, to help millions of people live healthier lives.
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