AI Specialist at Farsight Africa Group

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.