Netzence Sustainability Limited is a leading green technology and climate management company focused on accelerating Africa's transition to a net-zero emissions economy. Headquartered in Nigeria, the company develops hardware and software solutions to track, calculate, and incentivize carbon footprint reductions for businesses and individuals
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We are looking for an Artificial Intelligence (AI) Engineer for our technology team. You should be able to provide research guidance, support, and lead teams, and liaise with co-workers such as software engineers and sustainability analysts.
Requirements
Proven experience as an AI Engineer.
Solid background in applied mathematics, preferably in their applications and usage in AI and Machine Learning.
Strong understanding of AI and practical applications, with the ability to develop and integrate AI tools.
Strong coding skills, proficient in AI languages and frameworks.
Develop proofs-of-concept for potential AI tools to demonstrate value and feasibility.
Strong leadership skills with previous experience and ability to lead, motivate and develop others.
Customize AI tools based on insights from AI user experience and align with user needs and improved productivity.
Strong knowledge in Natural Language Processing (NLP) and Generative Pre-training Transformer (GPT).
Self-starter with good time management and ability to deliver against work plans.
Integrate AI tools into the company’s systems and technologies, collaborating with internal teams for seamless implementation.
Collaborate with teams to align development efforts with the company’s AI productivity strategy.
Assist in resolving issues related to AI tool integration and usage.
Design capabilities for addressing specific problems.
Proficient understanding of DevOps principles.
Excellent problem-solving and analytical skills and ability to demonstrate and clearly communicate expertise and insight in their areas of speciation.
Experience in AI project planning, project implementation, and continuous improvement.
Knowledge in deep learning algorithms and using supercomputers to train deep neural networks.
Qualifications
PhD, MPhil, or MSc Degree or equivalent in a mathematical, computer science, physics, or other scientific discipline.
Professional and Industry certifications are added advantages.
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