Applied Machine Learning Engineer

About the role

Zof AI is looking for an Applied Machine Learning Engineer to own the full lifecycle of ML models that power verification and quality features in its products. The role combines hands‑on model training, fine‑tuning, evaluation and production deployment in a fast‑moving, high‑performance environment.

Key responsibilities

• Train, fine‑tune and evaluate models for production use.
• Build and maintain datasets, labeling pipelines and data‑quality checks.
• Own training infrastructure, experiment tracking and model serving.
• Establish rigorous evaluation, regression testing and monitoring of models in production.
• Collaborate with AI and product engineers to ship models into features.

Required profile

• Hands‑on experience training and fine‑tuning machine‑learning models.
• Strong grounding in ML fundamentals, evaluation methodology and software‑engineering discipline.
• Experience building datasets and data pipelines.
• Clear written and verbal communication and ability to work in a fast‑moving environment.
• Evidence of models shipped to production or rigorous applied work.

Required skills

• Python
• PyTorch or JAX
• Model serving and inference optimization
• LLM fine‑tuning and embeddings at scale
• Data pipeline construction and experiment tracking

What we offer

• Monthly salary GHS 7,500‑15,000 plus equity.
• Full living package: housing support, private chef meals, laundry and cleaning where applicable.
• MacBook Pro and premium AI development tools (Cursor Ultra, Claude Code Ultra, OpenAI Codex Max, etc.).
• Focused builder environment with sports and wellness facilities (basketball court, table‑tennis, foosball, massage, fitness support).