About the Role
eHealth4everyone is a leading digital health social enterprise dedicated to making the world healthier. We are a mission-driven organization focused on making the business of healthcare delivery work for everyone through technology-enabled optimizations. We believe that if health is a right, proven digital health solutions and expertise should not be a privilege. Working with stakeholders across the healthcare spectrum, we enable high performance in healthcare delivery and management.
Key Responsibilities- Assist in developing AI-powered technologies and products that provide discriminating capabilities to our customers.
- Utilize current AI paradigms including computer vision, deep learning, and reinforcement learning to solve complex problems.
- Conduct statistical analysis and interpret results to guide organizational decision-making processes.
- Automate important infrastructure and develop pipelines for data transformation and ingestion for the data science team.
- Communicate the practical value of created AI models clearly to diverse internal stakeholders and product managers.
- Maintain a high standard of self-motivation, strong work ethic, effective time management, and interpersonal collaboration.
- Degree or relevant coursework in Engineering, Computer Science, or a related discipline.
- Minimum of three (3) years of proven experience using machine learning frameworks such as PyTorch and TensorFlow.
- Proficiency in Python alongside core data science libraries including NumPy, OpenCV, Scikit-learn, and Pandas.
- Experience with compiled programming languages like C++, Java, or Go.
- Familiarity with DevOps tools and practices including Docker, Git, CI/CD pipelines, and high-performance computing.
- Experience interfacing with databases such as SQL and MongoDB, and network protocols including RESTful APIs.
- Competitive salary package with regular performance reviews.
- Opportunities for professional growth within a pioneering digital health organization.
- Collaborative, impact-driven work environment focused on leveraging technology for social good.
- Flexible working arrangements supporting a healthy work-life balance.