Lead Researcher

Role Summary

The Lead Researcher will spearhead advanced AI research initiatives, driving innovation and contributing to the development of cutting-edge technologies. This role involves leading research projects from conception to completion, mentoring junior researchers, and collaborating with cross-functional teams to translate theoretical advancements into practical applications.

Key Responsibilities

• Design and conduct original research in AI, including machine learning, deep learning, NLP, and computer vision.
• Oversee research projects, ensuring timely delivery and alignment with strategic objectives.
• Develop and implement novel algorithms and models for real-world applications.
• Stay current with advancements in AI and integrate emerging technologies into research.
• Work closely with engineers, data scientists, and product teams to apply research findings.
• Present research outcomes through reports, presentations, and publications in top-tier conferences.
• Guide and mentor junior researchers and interns on methodologies and project execution.
• Ensure adherence to ethical standards and responsible AI practices.

Qualifications

• PhD in Computer Science, Artificial Intelligence, or related field.
• Minimum 5+ years of research experience in AI or related domains.
• Proven track record of publishing in peer-reviewed journals and conferences.
• Expertise in machine learning frameworks (TensorFlow, PyTorch).
• Strong programming skills in Python, R, or Java.
• Familiarity with cloud platforms (AWS, GCP) and big data technologies.
• Excellent analytical, problem-solving, and communication skills.
• Ability to lead teams and manage complex projects.

Preferred Skills

• Experience with reinforcement learning, generative AI, or multimodal systems.
• Knowledge of AI ethics and regulatory compliance.
• Grant writing and securing research funding.