AI Researcher

About Knovel:

At our core, our passion is to craft novel AI and technology solutions that will shape tomorrow. We deploy cutting-edge technology that builds on cloud computing to proliferate AI, data and analytics solutions tailored to drive innovation and transform businesses.

With our desire to push the boundaries of technology, we partner closely with our clients. Guiding their transformation with agility, we apply a structured technology transformation process attuned to their unique challenges.

At Knovel Engineering, we blend technology with creativity to build unique solutions tailored for our customers.

Job Title: AI Researcher

Department: Research & Development (Innovation)

Reports To: Senior Director of Engineering/Chief AI Architect

Location: Singapore

Employment Type: Full-time, Permanent, Hybrid

Responsibilities:

• Conduct research and develop innovative solutions to solve complex technical challenges.
• Design and execute experiments following established research methodologies and protocols.
• Analyze research data, interpret results, and draw meaningful conclusions.
• Develop prototypes and proof-of-concept solutions to validate research hypotheses.
• Collaborate with team members and cross-functional teams to identify research opportunities.
• Document research findings, methodologies, and results in technical reports and publications.
• Stay current with latest advancements and emerging technologies in the field.
• Participate in literature reviews and competitive analysis.
• Contribute to patent filings and intellectual property development.
• Senior researchers are expected to lead research initiatives, mentor junior researchers, and guide technical direction.

Requirements:

• Bachelor's degree in relevant field (Computer Science, Engineering, Physics, Mathematics, or equivalent).
• 2-5 years of proven experience in AI research or application research (required).
• Strong analytical and problem-solving skills with research methodology expertise.
• Proficiency in technical writing and documentation.
• Good communication and presentation skills.
• Experience with data analysis and statistical methods.
• Hands-on experience with Machine Learning and AI techniques.

Some experience with or good knowledge in the following will be advantageous:

• Deep Learning frameworks (TensorFlow, PyTorch, JAX).
• Large Language Models (LLMs) and generative AI.
• Scientific computing and simulation tools.
• Version control and collaborative development tools.
• Academic publication and peer review process.
• Proven track record of research contributions, publications, or patents in AI/ML domain.

Why you should apply:

• Competitive remuneration and benefits.
• Flat hierarchy with minimal bureaucracy.
• Learning opportunities through courses, seminars, and conferences.
• Access to cutting-edge research tools and technologies.
• Opportunity to contribute to innovation and technological advancement.
• Support for research collaboration and knowledge sharing.