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Research & Development
AI/ML Engineer Intern
Fine-tune medical LLMs that save lives
Nairobi, Kenya (Hybrid)Unpaid internshipIntern
Internship format
Currently unpaid — built for candidates optimizing for impact, learning, and mission alignment.
About This Role
Work directly on Pawanax's Pawa-Med™ Intelligence Engine — fine-tuning medical foundation models on African disease datasets, building RAG pipelines for clinical knowledge retrieval, and pushing the frontier of AI diagnostics on the continent.
We are prioritizing builders who are deeply curious, mission-driven, and excited to grow fast while solving real African healthcare problems.
What You'll Do
- Fine-tune LLMs (MedGemma, LLaMA, Mistral) on African clinical datasets
- Build and optimize RAG pipelines for medical knowledge retrieval
- Implement model quantization for edge/low-resource deployment
- Design evaluation benchmarks for African healthcare contexts
- Collaborate with clinicians on clinical validation of AI outputs
- Contribute to research papers and technical blog posts
Requirements
- Currently pursuing BSc/MSc in Computer Science, AI/ML, or related field
- Strong Python skills (PyTorch, HuggingFace Transformers)
- Familiarity with LLM fine-tuning techniques (LoRA, QLoRA, PEFT)
- Understanding of NLP fundamentals and transformer architecture
- Passion for AI in healthcare and African market contexts
Nice to Have
- Experience with medical NLP datasets (MIMIC, PubMed)
- Knowledge of RLHF or DPO alignment techniques
- Contributions to open-source ML projects
- Familiarity with MLflow, Weights & Biases, or similar
What You Get
- GPU compute credits
- Research publication support
- Mentorship from senior AI engineers
- Fast-track to full-time offer
Apply for This Role
We read every application ourselves. No recruiter filters — just careful review by the core team.