Jobs at eHealth4everyone

Job Summary

• We are looking for an experienced Data Analyst who has analytical and problem-solving skills.
• He/she will gather data from various sources and then review and interpret it using data analysis tools to provide meaningful information and insights to help businesses make better-informed decisions

Responsibilities

• Acquire data from primary or secondary data sources and maintain databases/data systems.
• Interpret data, analyze results using statistical techniques, and provide ongoing reports.
• Performing data cleaning and analysis to assess and improve the quality and meaning of data
• Using statistical tools to identify, analyze, and interpret patterns and trends in complex data sets can be helpful for the diagnosis and prediction
• Analyzing local, national, and global trends that impact both the organization and the industry
• Preparing reports for the management stating trends, patterns, and predictions using relevant data
• Preparing final analysis reports for the stakeholders to understand the data-analysis steps, enabling them to take important decisions based on various facts and trends.

Qualification and Skills

• A Degree in Data Science, Computer Science, Statistics, Mathematics, Economics or other relevant fields is required.
• At least three (3) years of Data Analysis experience using Microsoft Excel, SQL, Power BI, Tableau and Google Sheets. Knowledge of statistical methodologies is an added advantage.
• Relevant Data Analytics Certification (Google Data Analytics Professional Certification or Microsoft Data Analyst Associate Certification) is a must.
• Strong knowledge of GIS tools (ArcGIS or QGIs) is a plus
• Excellent numerical and analytical skills are required. He/she must have excellent written, oral, data and graphical communication skills.
• Strong math, logic, and statistical skills.
• Adept at queries, report writing, and presenting findings.

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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.
• Seven (7) years of 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.).

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Job Summary

• We are looking for an experienced Devops Engineer / Linux Administrator to build functional systems that improve customer experience, and collaborate with software developers, system operators and other IT team members to manage code releases.

Responsibilities

• Deploy product updates and fixes.
• Identify production issues and implement integrations that meet customer needs.
• Execute and automate operational processes fast, accurately and securely.
• Build tools to reduce the occurrence of errors and improve customer experience.
• Develop software to integrate with internal back-end systems.
• Perform root cause analysis for production errors.
• Investigate and resolve technical issues.
• Deployment and maintenance of open source software for a variety of purposes which include but are not limited to asset management, wiki applications, etc.
• Design procedures for system troubleshooting and maintenance.
• Continuously analyse system performance in production, troubleshoot reported issues, and proactively identify areas in need of optimization.
• Developing and driving real-time monitoring solutions that provide visibility into site health and key performance indicators.

Qualification and Skills

• Degree in Computer Science / Computer Engineering or other related areas.
• Must have at least three(3) years of working experience as a DevOps Engineer.
• Demonstrable experience in Linux Administration.
• Knowledge of scripting and automation (Python, Bash etc).
• Demonstrable experience with CI/CD tools for pipeline creation and management to facilitate deployment and release management e.g. GitLab, Jenkins, CircleCI, etc
• Skills in Relational Database Administration, Systems Security and Design.
• Technical experience working with cloud technologies.
• Working understanding of Load balancing technologies
• Working understanding of IT service management.
• Experience with Chef, Docker, Puppet or Ansible, automating all aspects of system and server.
• Solid background in the deployment of web applications based on Python,Vue.js and Node.js.
• Good understanding of distributed systems and container technologies like Docker/Kubernetes container infrastructure and orchestration.
• Experience with DNS, Networking, and High Availability solutions.
• Experience with webservers in a linux environment, i.e. Nginx, Apache2 and techniques for load balancing and SSL configuration
• Good understanding of monitoring tools such as Prometheus and Grafana for server monitoring and notifications
• Teamwork, problem-solving attitude, decision making, customer orientation.