J

AI Specialist at Farsight Africa Group

JobSearch
Nairobi 🇰🇪 Kenya
Live
Remote
Mid Level
View Jobs in Consulting
Posted 1 day ago (24 Sep 2026) Deadline: 30 Sep 2026 Updated about 4 hours ago

Job Description

The AI Specialist will design, build, and deploy scalable machine‑learning models that address client challenges across Farsight Africa’s platforms. Responsibilities span model development, data pipeline engineering, MLOps implementation, and cloud deployment, ensuring ethical and high‑impact AI solutions. Candidates need a bachelor’s degree in a quantitative field, 3–7 years of AI/ML experience, and expertise in data engineering and cloud technologies. The role is remote, allowing collaboration with cross‑functional teams.

Qualifications & Requirements

  • • Bachelor’s degree in Computer Science, Data Science, Engineering, or a related discipline (or equivalent professional certification).
  • • 3–7 years of experience designing and deploying AI/ML solutions.
  • • Proven ability to build data pipelines and implement MLOps practices.
  • • Strong knowledge of machine learning algorithms, generative AI, NLP, and computer vision.
  • • Experience with cloud platforms and containerization technologies.

Required Skills

Responsibilities

  • • Design, train, and deploy scalable AI/ML models for diverse business use cases.
  • • Integrate AI features into Farsight applications and platforms.
  • • Work with stakeholders to understand business needs and translate them into AI‑driven solutions.
  • • Research and apply state‑of‑the‑art AI methods such as generative AI, NLP, and computer vision.
  • • Contribute to innovation by exploring new tools, frameworks, and approaches.
  • • Build data pipelines and preprocessing workflows to ensure high‑quality, well‑governed data for model training and inference.
  • • Implement MLOps pipelines for continuous integration, deployment, monitoring, and improvement of models.
  • • Deploy models on cloud platforms using containerization and orchestration tools.
  • • Monitor model performance in production and retrain or optimize as needed.