eHealth4everyone is a leading digital health social enterprise dedicated to making the world healthier. We are a new kind of mission-driven organization with services, expertise and products 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 such as ours should not be a privilege. Working with participants across the spectrum of healthcare, from individuals, healthcare providers, government departments and stakeholders, insurance organizations, pharmaceutical companies, and various private sector players, we enable high performance across the continuum of healthcare delivery and management.
Job Description
- We are looking for an AI Engineer Intern that would primarily be using cutting-edge machine learning to tackle complex problems.
- The ideal candidate must have knowledge or coursework in topics such as software engineering, artificial intelligence, machine learning and Natural Language Processing (NLP) to support projects.
Responsibilities
- Assisting with the development of technologies and products that leverage Artificial Intelligence to provide the discriminating capability to our customers.
- Utilizing current AI paradigms including computer vision, deep learning, and reinforcement learning, applying these techniques to help solve complex problems and field innovative solutions.
- Conducting statistical analysis and interpreting the results so that they can guide the organization’s decision-making process.
- Automating important infrastructure for the Data Science team.
- Developing infrastructures for data transformation and ingestion.
- Explaining the usefulness of the AI models they create to a wide range of individuals within the organization, including stakeholders and product managers.
- Must exhibit self-motivation, a strong work ethic, time management and interpersonal skills.
Qualifications and Skills
- Degree or Coursework in Engineering, Computer Science, in a related discipline, or equivalent experience.
- Experience using machine learning frameworks (Pytorch, Tensorflow,, etc.)
- Experience with Python and multiple libraries (NumPy, OpenCV, Scikit, Pandas, etc.)
- Experience with C++, Java, GO, and other compiled languages
- Familiarity with DevOps tools: Docker, Git [GitLab, GitHub], Continuous Integration [CI], Continuous Deployment [CD]
- Familiarity with modern Computer Vision Familiarity with high-performance computing
- Familiarity with network/messaging (UDP, ZeroMQ, RESTful API, etc.)
- Familiarity interfacing with databases (SQL, MongoDB, etc.).
Method of Application
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