Job Summary

The Technical Manager plays a pivotal role in the Department of Science and Technology (DST) Center of Excellence (COE) for AI/ML. This position is responsible for overseeing and coordinating technical activities, research projects, and collaborations within the COE. The Technical Manager will work closely with cross-functional teams, startups, researchers, and industry partners to drive the development and implementation of cutting-edge AI/ML solutions. He/She will play the role of an ecosystem enabler in nurturing and expanding the AI/ML

Key Responsibilities:

1. Technical Leadership:

Provide technical leadership and guidance to the COE team and startups, ensuring the successful execution of AI/ML research projects and startup incubation/acceleration programs.
Stay up-to-date with the latest advancements in AI/ML technologies, product development lifecycle for AI/ML products and identifying opportunities for innovation.
Building sustainable solutions to support AI/ML product development.

2. Project Management: –

Plan, execute, and monitor AI/ML research projects, ensuring they are delivered on time, within scope, and within budget.
Work closely with the Incubation manager to scout for AI/ML startups, design programs and identify mentors and knowledge experts for startups.
Collaborate with project teams to define project objectives, deliverables, and success criteria.

3. Research and Development:

Lead and contribute to AI/ML research activities, including algorithm development, data analysis, and model training.
Foster a culture of innovation and continuous improvement within the COE.

4. Technical Collaboration:

Cultivate strategic partnerships and collaborations with academic institutions, industry leaders, and startups to advance AI/ML initiatives.
Facilitate knowledge sharing and technical exchanges with external stakeholders.
Understand technical and AI/ML related requirements from startups and identify vendors to assist them in AI/ML solutions.

5. Data and Infrastructure Management:

Oversee data collection, preprocessing, and management activities for AI/ML projects.
Ensure data privacy and security compliance in all data-related activities.
Monitor the infrastructure and hardware facilities at the center.

6. Documentation and Reporting:

Maintain comprehensive documentation of technical processes, project outcomes, and research findings.
Prepare regular progress reports and presentations for internal and external stakeholders

**Qualifications:**

Proven experience in product management and engaging with technical teams
Experience drafting PRD and MRD documents
In-depth knowledge of AI/ML algorithms, deep learning frameworks, and data science techniques.
In-depth understanding of AI/ML product development lifecycle
Excellent problem-solving and analytical abilities.
Effective communication and interpersonal skills.
Experience in working with startups, academic institutions, government bodies and industry partners is a plus.
Familiarity with AI ethics, data privacy, and regulatory compliance is desirable.

Benefits:

Competitive salary and performance-based incentives.
Access to state-of-the-art AI/ML resources and infrastructure.
Opportunities for professional development and research collaboration.
Engaging and innovative work environment.

Join our dynamic team at T-Hub COE for AI/ML and contribute to advancing AI/ML technologies for the benefit of society and industry. Be part of a cutting-edge research and innovation ecosystem

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