Vice president research

3 weeks ago


Bangalore, India Kunato Full time

Key Responsibilities: 1.

Research Leadership & Strategy - Develop and execute a forward-thinking research strategy aligned with the company’s goals and vision.

- Oversee research projects in AI, machine learning, and data science, ensuring they align with business objectives and industry trends.

- Foster a culture of innovation and continuous learning within the research department.

- Identify emerging technologies and trends that can drive the company's future growth.

2.

Team Management & Development - Lead, mentor, and manage a diverse team of researchers, data scientists, and AI engineers.

- Drive talent development by fostering collaboration, professional growth, and innovation among team members.

- Ensure that research teams meet deadlines, deliver results, and maintain high standards of research quality.

3.

Collaboration & Cross-Functional Engagement - Work closely with the product, engineering, and marketing teams to ensure research outcomes can be translated into tangible products and services.

- Collaborate with external partners, universities, and industry experts to advance research initiatives.

- Represent the company at industry events, conferences, and in academic forums.

4.

Research Funding & Resource Management - Secure funding for research projects through grants, partnerships, and collaborations.

- Allocate resources effectively to maximize research impact while adhering to budgetary guidelines.

5.

Innovation & Intellectual Property - Identify opportunities for innovation, including patents, publications, and new AI-driven products or services.

- Ensure the company remains a leader in AI by driving the research agenda toward cutting-edge solutions.

6.

Compliance & Ethics - Ensure that all research activities are conducted in compliance with relevant ethical standards and regulations, particularly in AI ethics and data privacy.

- Promote ethical AI research practices and advocate for responsible use of AI technologies.

Qualifications: Education: Ph.

D.

in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a closely related field.

Experience: - At least 10+ years of research experience in AI or related fields.

- Proven track record in leading and managing research teams.

- Strong background in machine learning, neural networks, natural language processing, or computer vision.

- Experience with AI frameworks such as Tensor Flow, Py Torch, or similar.

- Demonstrated success in securing research funding and managing research budgets.

Skills & Knowledge: - Deep understanding of AI methodologies, including supervised and unsupervised learning, reinforcement learning, and deep learning.

- Strong publication record in top-tier AI conferences or journals.

- Excellent leadership, communication, and project management skills.

- Ability to foster innovation and drive results in a fast-paced environment.

- Strong networking and relationship-building skills with both internal and external stakeholders.

- Knowledge of AI ethics, data privacy, and regulations impacting AI research.



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