AI Software Engineer (CMH Health)

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Written by AI from the job title and company, not by Milliman, so some details may not match this job. The employer's own page has the real description.

Overview

As an AI Software Engineer within Milliman's CMH Health division, you will play a crucial role in developing and implementing cutting-edge artificial intelligence solutions aimed at enhancing healthcare analytics. You will collaborate with a cross-functional team of data scientists, software engineers, and healthcare professionals to design, code, and deploy machine learning models that address complex health issues. Your keen analytical skills will contribute to optimizing healthcare decision-making processes and improving patient outcomes through innovative software solutions.

Job Responsibilities

• Design and develop robust AI algorithms and machine learning models tailored for healthcare applications.
• Collaborate with data scientists and stakeholders to identify business needs and transform them into technical specifications.
• Conduct data analysis and prepare datasets for training and evaluation of machine learning models.
• Implement model validation techniques and assess performance metrics to ensure accuracy and reliability.
• Continuously monitor and refine existing models to improve efficiency and effectiveness.
• Provide technical support and guidance to other team members and departments as needed.
• Maintain thorough documentation of algorithms and code for future reference and compliance requirements.

Qualifications

• Bachelor's degree in Computer Science, Engineering, Data Science, or a related field; Master's degree preferred.
• Minimum of 3 years of experience in software development, with a focus on artificial intelligence and machine learning.
• Proficiency in programming languages such as Python, R, or Java.
• Hands-on experience with machine learning frameworks (e.g., TensorFlow, PyTorch) and libraries (e.g., Scikit-learn).
• Strong understanding of data manipulation, statistical analysis, and modeling techniques.
• Familiarity with cloud platforms and services (e.g., AWS, Azure) for deploying AI applications.
• Ability to communicate complex technical concepts to non-technical stakeholders.

Technologies & Tools

The AI Software Engineer will utilize a variety of technologies and tools to achieve their objectives. This includes programming languages such as Python and R for developing machine learning algorithms, as well as TensorFlow and PyTorch for model training and deployment. Data management will be facilitated through SQL or NoSQL databases, while version control will be managed through Git. Cloud platforms like AWS or Azure will also be integral for scalable deployment and application integration.

Ideal Candidates

Ideal candidates for this position will possess a blend of technical expertise and strong interpersonal skills. They are detail-oriented and committed to delivering high-quality software solutions. They thrive in collaborative environments, demonstrating effective communication skills that facilitate cross-team interactions. A passion for healthcare analytics and an eagerness to innovate within the healthcare space will also characterize successful applicants, alongside a willingness to continuously learn and adapt to new technologies and methodologies.