Machine Learning Researcher

About the role

In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.

Responsibilities

• Lead and conduct cutting-edge research in machine learning and artificial intelligence domains.
• Design, implement, and evaluate state-of-the-art deep learning algorithms using frameworks such as TensorFlow.
• Collaborate closely with engineering teams to translate research breakthroughs into scalable solutions.
• Publish research findings and contribute to the global AI/ML scholarly community.
• Continuously monitor industry advancements to keep the team at the forefront of technological innovation.
• Document methodologies, experiments, and results clearly for both technical and non-technical stakeholders.
• Communicate complex concepts effectively through both written and verbal channels.

Requirements

• Expertise in designing and executing research projects in AI and machine learning.
• In-depth experience with deep learning frameworks, especially TensorFlow.
• Strong proficiency in Python for prototyping and algorithm development.
• Exceptional written and verbal communication skills, with an emphasis on clear research documentation and collaborative teamwork.
• Proven track record of working independently and delivering impactful research outcomes in remote settings.
• Ability to evaluate, optimize, and implement advanced ML models for real-world applications.

Preferred Qualifications

• Academic publications in top-tier AI/ML conferences or journals.
• Experience collaborating with cross-functional, international teams.
• Background in applying deep learning solutions to industry-specific problems.