• Application Deadline:
• Position: AI and Machine Learning Specialist


• Job Type Full Time


• Qualification MBA/MSc/MA , PhD/Fellowship


• Experience 2 years


• Location Lagos


• Job Field ICT / Computer 
  

Job Summary

• We are seeking an experienced and highly skilled AI and Machine Learning Specialist to join our team.


• The ideal candidate will have a strong background in artificial intelligence, machine learning, and data science, with the ability to develop and implement innovative solutions to complex problems.


• The AI and Machine Learning Specialist will work closely with cross-functional teams to design, develop, and deploy AI-driven applications and systems that enhance our products and services.

Responsibilities

• Research and evaluate cutting-edge AI and machine learning technologies, algorithms, and techniques.


• Develop, train, and optimize machine learning models and algorithms for various applications, such as natural language processing, computer vision, predictive analytics, and recommendation systems.


• Collect, preprocess, and analyze large datasets to extract meaningful insights and patterns.


• Collaborate with software engineers, data engineers, and domain experts to integrate AI models into production systems and applications.


• Implement scalable and efficient machine learning pipelines and workflows.


• Conduct experiments, A/B tests, and performance evaluations to assess the effectiveness and accuracy of AI models.


• Stay up-to-date with the latest advancements and best practices in AI, machine learning, and related fields.


• Provide technical guidance and mentorship to junior team members.


• Communicate findings, results, and recommendations to stakeholders through presentations, reports, and documentation.

Requirements

• Bachelor's degree in computer science, engineering, mathematics, or related field. Master's or Ph.D. preferred.


• 2+ years of experience in AI, machine learning, and data science.


• Proficiency in programming languages such as Python, R, or Java.


• Strong knowledge of machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn).


• Experience with deep learning architectures and techniques.


• Solid understanding of statistics, probability, and linear algebra.


• Familiarity with cloud platforms and services (e.g., AWS, Azure, Google Cloud).


• Excellent problem-solving skills and attention to detail.


• Strong communication and interpersonal skills.


• Ability to work independently and collaboratively in a fast-paced environment.

Preferred Qualifications:

• Experience with big data technologies (e.g., Hadoop, Spark).


• Knowledge of reinforcement learning, generative adversarial networks (GANs), or other advanced AI techniques.


• Experience with deploying and managing AI models in production environments.


• Contributions to open-source projects or publications in relevant conferences or journals.