AI Researcher
hace 2 meses
Abi Global Health is a pioneering virtual care platform that connects patients with healthcare professionals worldwide. Our mission is to revolutionize access to quality healthcare by leveraging cutting-edge technology.
Job SummaryWe are seeking a highly skilled AI Researcher/Machine Learning Engineer to join our dynamic team at the Abi Global Health AI Lab. As a key member of our team, you will play a crucial role in developing and enhancing our AI/ML solutions, driving innovation, and fostering a culture of excellence.
Key Responsibilities- AI/ML Solution Development: Design, develop, and deploy AI/ML models and algorithms to enhance our virtual care platform, ensuring scalability, resilience, and accuracy.
- Research and Innovation: Conduct research in AI/ML, staying up-to-date with the latest advancements, and exploring new technologies to drive innovation and improve our services.
- Collaboration and Mentorship: Work closely with cross-functional teams, mentor junior colleagues, and foster a culture of collaboration, knowledge-sharing, and continuous learning.
- Experimentation and Evaluation: Design, conduct, and evaluate experiments to validate the effectiveness of AI/ML solutions, identifying areas for improvement and optimizing performance.
- Education and Experience: Master's or Ph.D. in Computer Science, AI, ML, or a related field, with a strong background in software development, data science, and AI/ML.
- Technical Skills: Proficiency in ML algorithms, statistics, and software development, with experience in ML frameworks (e.g., Keras or PyTorch) and libraries (e.g., scikit-learn).
- Cloud Platforms: Familiarity with cloud platforms (AWS Sagemaker, Azure ML, or GC ML) and experience with containerization (e.g., Docker).
- Communication and Collaboration: Excellent communication and collaboration skills, with the ability to work effectively in a global, distributed team.
- Competitive Salary: A competitive salary package, including benefits and perks.
- Professional Development: Opportunities for professional growth, skill development, and career advancement.
- Flexible Work Arrangements: Flexible work arrangements, including remote work options and a generous time-off policy.
- Access to Resources: Access to cutting-edge technology, tools, and resources, including cloud platforms, AI/ML frameworks, and data science libraries.
- Collaborative Environment: A dynamic, collaborative work environment with a diverse team of professionals from around the world.
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