AI Engineering Interns at eHealth4everyone

eHealth4everyone is a digital health enterprise based in Nigeria (Africa) contributing to health service delivery using data science and information technology. At ehealth4everyone, our goal is saving lives and our approach is information and technology. We believe that if health is a right, proven digital health solutions and expertise such as ours should not be a privilege.

We are recruiting to fill the position below:

Job Title: AI Engineering Intern

Locations: Abuja (FCT), Ibadan - Oyo & Uyo - Akwa Ibom

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.
• 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.
• 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.

Qualifications and Skills

• Degree or Coursework in Engineering, Computer Science, in a related discipline, or equivalent experience.
• 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.).
• 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].

How to Apply
Interested and qualified candidates should:
Click here to apply

Note

• Kindly ensure you upload an updated CV. Applicants without these may not be considered.
• This is a fully Onsite position, not currently available for remote or hybrid.

Application Deadline 31st October, 2023.