AI Research Scientist

Job Description

As an AI Research Scientist, you will engage in groundbreaking research in artificial intelligence and machine learning. You will work on developing and optimising algorithms that address real-world challenges, fostering innovation in our projects and contributing to the advancement of our AI capabilities.

Responsibilities

• Develop and optimise machine learning models for accuracy and efficiency.
• Work collaboratively with cross-functional teams to drive product development.
• Initiate and lead research projects that align with company goals.
• Evaluate existing algorithms and recommend improvements.
• Document research methodologies, results and presentations.
• Engage with external partners and academic institutions for collaborative research.
• Contribute to the preparation of research publications and conference presentations.

Requirements

Education

• PhD in Computer Science, Data Science, AI, or related field

Experience

• 3+ years of experience in AI research or related field

Technical Skills

• Python
• Machine Learning
• Data Analysis
• Statistical Modelling
• Deep Learning
• Natural Language Processing

Soft Skills

• Critical Thinking
• Teamwork
• Communication

Languages

• English: Fluent

Advantageous

• Familiarity with cloud computing platforms such as AWS or Azure.: Experience with deploying AI models on cloud platforms enhances operational efficiency.
• Experience with Git for version control.: Proficient in using Git for collaborative development and code management.

Benefits

• Competitive salary package with performance-based bonuses.
• Flexible working hours and work-from-home options.
• Generous leave entitlements and professional development support.
• Health and wellness programs including gym membership discounts.

Company Culture

• Innovation and Creativity: We encourage out-of-the-box thinking and innovative approaches to problem-solving.
• Collaboration: Our culture emphasizes teamwork and collaboration across all levels.
• Continuous Improvement: We value ongoing learning and development for our employees.