AI Specialist
How to apply
Send your CV and cover letter to:
Subject: AI Specialist – Your Name
Closes Sep 30 · 5 days left
Job type
Full Time
Qualification
BA/BSc/HND, Professional Certificate
Experience
3 - 7 years
Location
Nairobi
Deadline
Sep 30
Job description & requirements
Objective:
- To design, build, and deploy scalable, ethical, and high-impact AI/ML solutions that enhance Farsight Africa's products and platforms, automate and improve service delivery for our clients, and drive innovation across the organization.
Key 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 (Generative AI, NLP, Computer Vision) to Farsight client problems.
- Contribute to innovation by exploring new tools, frameworks, and approaches to enhance AI capabilities.
Data Engineering:
- Build data pipelines and preprocessing workflows for model training and inference.
- Ensure high-quality, well-governed data for model training, validation, and evaluation.
MLOps and Deployment:
- 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 models as needed.
Responsible AI and Compliance:
- Ensure AI solutions adhere to ethical standards, data privacy regulations, and industry best practices.
- Identify and mitigate bias, security, and privacy risks in AI systems.
Documentation and Collaboration:
- Prepare technical documentation for models, data pipelines, APIs, and deployment processes.
- Collaborate with software developers, project managers, business analysts, and clients to deliver AI solutions on time.
REQUIRED SKILLS & EXPERIENCE:
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).
- 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.
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