Senior AI Research Scientist - Computer Vision

Placements24; KwaZulu-Natal; Hybrid; ZAR 1,200,000 - 2,000,000; Full time

Benefits offered by this job

Competitive salary

Health insurance

Paid time off

Professional development

Stock options

Relocation assistance

Hybrid work model

Job summary

Placements24 in Pietermaritzburg, KwaZulu-Natal is seeking a Senior AI Research Scientist to advance computer vision research, develop novel algorithms, and mentor junior team members in a hybrid work setting. The role focuses on cutting-edge AI models, collaboration with cross-functional teams, and publishing work in top venues.

The candidate should have a PhD or Master’s in a quantitative field, strong Python and DL framework skills, and a track record in CV research.

Qualifications

• Ph.D. or Master’s degree in Computer Science, AI, ML or related quantitative field.
• Proven track record in computer vision research with publications or project contributions.
• Strong proficiency in Python and DL frameworks (TensorFlow, PyTorch, Keras).
• Solid mathematical foundation for ML and CV algorithms.
• Experience with large-scale data processing and cloud platforms (AWS, GCP, Azure).
• Excellent problem-solving, communication, and collaboration skills.
• Leadership in research projects and mentorship of juniors.
• Familiarity with software development best practices, including Git.

Responsibilities

• Conduct R&D into advanced computer vision techniques, including deep learning, object detection, and scene understanding.
• Design and validate novel AI models and algorithms for real-world problems.
• Collaborate with software engineers and PMs to deploy AI solutions in scalable products.
• Stay current with AI/ML/CV research through literature and conferences.
• Mentor junior researchers and engineers to foster learning.
• Publish research findings in top conferences and journals.
• Contribute to the strategic direction of AI research within the company.
• Analyze large datasets to extract insights for training and evaluation.
• Ensure ethical and responsible AI development.
• Optimize models for production performance and efficiency.

Skills

Python programming

Deep learning

Mathematical concepts

Communication

Leadership

Education

Ph.D. or Masters in Computer Science/AI/ML or related field

Tools

TensorFlow

PyTorch

Keras

AWS/GCP/Azure

Git

Job description

About the Role

Our client, a pioneering force in the AI & Emerging Technologies sector, is seeking a highly motivated and experienced Senior AI Research Scientist to join their dynamic team in Pietermaritzburg, KwaZulu-Natal. This role is central to advancing our client's cutting-edge research in artificial intelligence, with a specific focus on computer vision applications. You will be instrumental in developing novel algorithms and models that push the boundaries of what's possible. This is a fantastic opportunity for a visionary individual to make a significant impact in a rapidly evolving field, working alongside world-class experts. The position offers a hybrid work model, blending the benefits of collaborative office time with the flexibility of remote work, fostering a productive and engaging environment. We are committed to fostering innovation and providing a platform for brilliant minds to thrive within the vibrant technological landscape of Pietermaritzburg .

Key Responsibilities

• Conduct in-depth research and development into advanced computer vision techniques, including deep learning, image recognition, object detection, and scene understanding.
• Design, implement, and validate novel AI models and algorithms to solve complex real-world problems.
• Collaborate with cross-functional teams, including software engineers and product managers, to integrate AI solutions into scalable products.
• Stay abreast of the latest advancements in AI, machine learning, and computer vision research through literature review and conference participation.
• Mentor junior researchers and engineers, sharing knowledge and fostering a culture of continuous learning.
• Publish research findings in top-tier conferences and journals.
• Contribute to the strategic direction of AI research within the company.
• Analyze and interpret large datasets to extract meaningful insights for model training and evaluation.
• Ensure the ethical and responsible development of AI technologies.
• Optimize AI models for performance and efficiency in production environments.

Requirements

• Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
• Proven track record of research and development in computer vision, demonstrated through publications or significant project contributions.
• Strong proficiency in programming languages such as Python, and deep learning frameworks like TensorFlow, PyTorch, or Keras.
• Expertise in mathematical concepts underlying machine learning and computer vision algorithms.
• Experience with large-scale data processing and cloud computing platforms (e.g., AWS, GCP, Azure).
• Excellent problem-solving and analytical skills.
• Strong communication and collaboration abilities, with experience working in a team environment.
• Demonstrated ability to lead research projects and mentor junior team members.
• Familiarity with software development best practices, including version control (Git).
• A passion for innovation and a desire to solve challenging AI problems.

Benefits

• Competitive salary package commensurate with experience.
• Comprehensive health, dental, and vision insurance.
• Generous paid time off and holiday schedule.
• Opportunities for professional development, including conference attendance and training.
• Access to state-of-the-art research facilities and computing resources.
• A collaborative and intellectually stimulating work environment in Pietermaritzburg .
• Potential for stock options and performance-based bonuses.
• Relocation assistance may be available for qualified candidates.
• A chance to work on groundbreaking AI projects with real-world impact.
• Flexible working arrangements within a hybrid model.