Principal AI Research Scientist - Machine Learning

Full Description

Our client is at the forefront of AI innovation and is seeking a brilliant and driven Principal AI Research Scientist specializing in Machine Learning to join their state-of-the-art research facility in Kano, Kano, NG.

This role is designed for individuals with a passion for pushing the boundaries of artificial intelligence and making significant contributions to novel AI solutions.

You will lead groundbreaking research projects, focusing on developing and implementing advanced machine learning algorithms, deep learning models, and artificial intelligence techniques.

Your work will involve exploring new research avenues, formulating hypotheses, designing experiments, and rigorously evaluating results.

The ideal candidate will possess a strong theoretical foundation in machine learning, a proven track record of publications in top-tier AI conferences or journals, and hands-on experience with large-scale datasets and distributed computing environments.

You will collaborate with a world-class team of researchers and engineers, shaping the future of AI applications across various domains.

This is an exceptional opportunity to make a tangible impact in a fast-paced, intellectually stimulating environment.

Responsibilities include:

Leading the research and development of novel machine learning algorithms and AI models.

Designing and conducting experiments to validate research hypotheses.

Analyzing complex datasets to extract meaningful insights and identify patterns.

Developing and implementing state-of-the-art deep learning architectures.

Collaborating with engineering teams to transition research prototypes into production systems.

Publishing research findings in leading AI conferences and journals.

Mentoring junior researchers and contributing to the team's technical growth.

Staying current with the latest advancements in AI, machine learning, and related fields.

Presenting research outcomes to technical and non-technical audiences. Contributing to the intellectual property strategy of the organization.

Qualifications:

Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a closely related field. 7+ years of relevant research experience in AI and Machine Learning. Strong publication record in top AI conferences (e.g., NeurIPS, ICML, ICLR, AAAI). Deep expertise in various machine learning techniques (e.g., supervised, unsupervised, reinforcement learning). Proficiency in programming languages such as Python and experience with ML frameworks (e.g., TensorFlow, PyTorch). Experience with big data technologies and distributed computing (e.g., Spark, Hadoop).

Excellent analytical, critical thinking, and problem-solving abilities.

Strong communication and presentation skills. Ability to work independently and as part of a collaborative research team.