AI Research Scientist - Machine Learning

Full Description

Our client, a cutting-edge innovator in AI and Emerging Technologies, is seeking a brilliant and dedicated AI Research Scientist specializing in Machine Learning to join their advanced R&D team in Lagos, Lagos, NG.

This role is crucial for pushing the boundaries of artificial intelligence, developing novel algorithms, and implementing ML models that solve complex real-world problems.

The idealcandidate possesses a strong theoretical foundation in machine learning, deep learning, and statistical modeling, coupled with practical experience in implementing and deploying ML systems. You will work in a collaborative environment alongside world-class researchers and engineers, contributing to groundbreaking projects and publications.

Responsibilities:

Conduct cutting-edge research in machine learning, deep learning, natural language processing, computer vision, or related AI fields.

Develop, train, and evaluate sophisticated ML models for various applications.

Design and implement novel algorithms and architectures to address challenging AI problems.

Collaborate with engineering teams to integrate research prototypes into production systems.

Stay current with the latest advancements in AI research through literature review and conference participation.

Publish research findings in top-tier conferences and journals.

Analyze large datasets to extract insights and inform model development.

Develop benchmarks and evaluation metrics for assessing model performance.

Contribute to the intellectual property portfolio through patents and publications.

Mentor junior researchers and interns.

Present research findings to technical and non-technical audiences.

Explore new research areas and propose innovative project ideas.

Optimize ML models for performance, scalability, and efficiency.

Contribute to the strategic direction of the AI research roadmap.

Ensure ethical considerations are integrated into AI development and deployment.

Qualifications:

Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field. Proven track record of research and publications in leading AI conferences (e.g., NeurIPS, ICML, ICLR, CVPR, ACL) or journals. Strong theoretical understanding of machine learning algorithms, statistical modeling, and deep learning frameworks (e.g., TensorFlow, PyTorch). Proficiency in programming languages such as Python, and experience with relevant libraries (e.g., NumPy, SciPy, Pandas, Scikit-learn).

Experience with large-scale data processing and distributed computing.

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

Strong communication and collaboration abilities.

Experience with cloud ML platforms (e.g., AWS SageMaker, Google AI Platform, Azure ML) is a plus.

Ability to work both independently and as part of a research team.

This is a unique opportunity for a passionate AI researcher to make significant contributions in a rapidly evolving technological landscape.