We are a Telehealth information and technology firm primarily focused on Sub-Saharan Africa. We work at the intersection of patients and service providers to improve the quality of healthcare via technology solutions designed to impact lives.
Key Responsibilities:
Prompt Engineering & Optimization
- Modify and optimize prompts for large language models
- Test prompt variations and document performance improvements
- Maintain prompt libraries and version control
- Test prompt performance and effectiveness
Research & Analysis
- Stay current with latest developments in LLMs and AI research
- Prepare visual reports and summaries for meetings
- Create presentations about ML work and project outcomes when needed
- Create technical documentation and research reports
System Monitoring & Maintenance
- Monitor system logs and performance metrics
- Set up and maintain logging systems
- Generate regular performance reports
- Identify and escalate system anomalies or issues
General Support
- Assist with data preparation and preprocessing tasks
- Support model evaluation and testing activities
- Participate in team meetings and knowledge sharing sessions
Required Qualifications:
Technical Skills:
- BHS degree in Computer Science, Data Science, Machine Learning, or related field
- Strong programming skills in Python
- Familiarity with machine learning concepts and frameworks
- Strong understanding of (LLMs) Large Language Models (GPT, Claude, etc.)
- Experience with prompt engineering techniques
- Knowledge of logging systems and monitoring tools
- Skilled in Google Workspace applications (Docs, Sheets, Slides) for documentation and collaboration
Research Capabilities:
- Strong analytical and research skills
- Ability to read and summarize technical papers
- Experience with literature reviews and research methodologies
- Familiarity with ML research platforms (ArXiv, Papers with Code, etc.)
Soft Skills:
- Excellent written and verbal communication
- Detail-oriented with strong organizational skills
- Ability to work independently and manage multiple tasks
- Collaborative team player
- Proactive problem-solving approach
Preferred Qualifications:
- Previous internship or project experience in GenAI/ML/AI
- Experience with cloud platforms (GCP)
- Familiarity with MLOps practices and tools
- Knowledge of version control systems (Git)
- Experience with data visualization tools
Method of Application
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