Emploi · Farsight Africa Group
AI SPECIALIST
En bref
- Où
- Kenya
- Clôture le
- Publié le
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S'ouvre sur leur site web. Nous n'intervenons pas dans la candidature.
À propos de cette opportunité
THE ROLE: BE THE STRATEGY BEHIND THE GAME. Farsight Africa Technologies is a subsidiary of Farsight Africa Group that aims to digitally enable and empower last frontier markets by promoting technology adoption in politically vulnerable states and focuses on developing robust software and hardware solutions that address the gaping needs for automation of government services. These include financial management information systems, tax revenue collection and administration, and public utility service provision platforms The organization is seeking a highly skilled and creative AI Specialist (AI Engineer) to join our technology team. In this role, you will design, develop, and deploy AI/ML solutions that power innovative products and services. You will work on building intelligent systems, integrating AI into applications, and ensuring our solutions are scalable, ethical, and impactful. If you have a strong background in AI/ML, software development, and cloud-based deployment, and are excited about shaping the future of intelligent digital solutions, then this is the opportunity for you. 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. 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.
Ce qui est demandé
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