Other Specification

• Minimum 2+ years of experience in applying machine learning to real-world problems. 
• Strong proficiency in Python and familiarity with machine learning libraries (e.g., scikit-learn, TensorFlow, PyTorch) 
• Experience with data pre-processing techniques like data cleaning, feature engineering, and data transformation 
• Excellent analytical and problem-solving skills 
• Strong communication and collaboration skills, with the ability to effectively explain technical concepts to both technical and non-technical audiences 
• Experience working with US healthcare data is a plus.

Job Description

Cedar Gate Services is looking for a highly motivated and skilled Machine Learning Engineer to join our BA team and work with our Data Engineering team. You will be responsible for the design, development, and implementation of machine learning solutions aimed at analyzing and extracting insights from US healthcare data.

Responsibilities

• Collaborate with Business Analysts and Data Analysts to understand business needs and translate them into technical requirements for machine learning solutions.
• Design, develop, and implement machine learning models using various algorithms and frameworks (e.g., scikit-learn, TensorFlow, PyTorch) to address specific healthcare analytics problems.
• Participate in data pre-processing activities, including data cleaning, feature engineering, and data transformation.
• Evaluate and tune machine learning models, ensuring their effectiveness and robustness.
• Document and explain machine learning models and their results in a clear and concise manner for both technical and non-technical audiences.
• Participate in ongoing discussions to identify and implement best practices for machine learning development and deployment within Cedar Gate.

Source: Merojob

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