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AI Specialist

Members only

Kenya

KES 200,000 – 400,000/moEst.

On-siteContractMid-levelPosted today

What you bring

Academic Qualifications

A Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, Computer Engineering, or related fields.
Professional certifications in AI/ML, Cloud (AWS, Azure, or GCP), or Data Engineering are an added advantage.

Experience & Expertise

3–7 years of hands-on experience in building and deploying AI/ML models in real-world applications.
Strong programming experience in Python, R, or Java, with expertise in frameworks such as TensorFlow, PyTorch, and Scikit-learn.
Experience with NLP, Computer Vision, Generative AI, or Recommendation Systems is highly desirable.
Strong background in data engineering (data pipelines, APIs, SQL/NoSQL databases, and big data frameworks).

Still searching? Go Find It.

Real Kenyan jobs, verified. Salary ranges that make sense. Updated daily.

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Familiarity with cloud platforms (AWS SageMaker, Azure ML, or Google Vertex AI) and containerization (Docker, Kubernetes).

Experience integrating AI into enterprise applications, APIs, and digital platforms.

Understanding of MLOps best practices for continuous integration, deployment, and monitoring of ML models.

Skills & Competencies

Knowledge of Responsible AI, Ethics, and Data Privacy in AI solutions.
Strong problem-solving and analytical thinking skills.
Ability to work in a fast-paced, collaborative environment.
Excellent communication and interpersonal skills, including the ability to explain AI concepts to non-technical stakeholders.

GK

This is a preview of the role

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