AI Research Scientist - Computer Vision

Full Description

Our client is at the forefront of innovation, seeking a brilliant and creative AI Research Scientist specializing in Computer Vision to join their cutting-edge team.

This role is fully remote, offering the flexibility to work from anywhere within Nigeria.

You will be instrumental in advancing the state-of-the-art in AI, focusing on developing novel algorithms and models for visual recognition, image analysis, and object detection. This is an unparalleled opportunity to contribute to groundbreaking projects and shape the future of artificial intelligence.

Responsibilities:

Conduct fundamental and applied research in computer vision, deep learning, and related AI fields.

Develop, implement, and evaluate novel algorithms and deep neural network architectures for image and video analysis.

Design and execute experiments to test hypotheses and validate research findings.

Analyze large-scale datasets to extract meaningful insights and drive model improvements.

Collaborate with cross-functional teams, including software engineers and product managers, to translate research into practical applications.

Publish research findings in top-tier AI conferences and journals.

Stay abreast of the latest advancements in AI, machine learning, and computer vision.

Contribute to building and maintaining robust AI research infrastructure.

Mentor junior researchers and interns, fostering a collaborative and innovative research environment.

Develop prototypes and proof-of-concepts for new AI-powered features and products.

Optimize algorithms for performance and scalability on various hardware platforms.

Write clear and concise technical documentation, reports, and presentations.

Engage with the broader AI research community through presentations and discussions.

Contribute to the intellectual property portfolio through patent applications.

Ensure ethical considerations are integrated into all research and development activities.

Qualifications:

Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Electrical Engineering, or a related field with a strong focus on computer vision and deep learning.

Proven track record of research contributions in computer vision, demonstrated through publications, patents, or open-source projects.

Expertise in deep learning frameworks such as TensorFlow, PyTorch, or Keras.

Strong programming skills in Python and C++.

Deep understanding of classical computer vision techniques and modern deep learning approaches.

Experience with image processing, pattern recognition, and machine learning algorithms.

Familiarity with cloud computing platforms (AWS, Azure, GCP) is a plus.

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

Strong written and verbal communication skills, with the ability to explain complex technical concepts clearly.

Ability to work independently and collaboratively in a remote team setting.

Passion for pushing the boundaries of AI research and development. Experience with large-scale data handling and distributed computing is desirable.