Manager - Talent Acqusition at Course5 Intelligence
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Course5 Intelligence - Director/Senior Director/AVP - Engineering - R&D (14-23 yrs)
POSITION SUMMARY :
The Director/Sr. Director/AVP - Engineering R&D position will be an integral part of Course5 AI Labs, our state-of-the-art Artificial Intelligence, R&D and Innovation Center. This function is chartered with solving complex business problems of Fortune 500 companies through Artificial Intelligence and other emerging technologies.
This is a hands-on technical leadership role with responsibilities of a lean R&D team, and will report to the head of our AI Labs.
1. Responsibilities :
- Build scalable, serviceable and fault-resilient products & platforms. Envision, build, test and deploy advanced proof-of-concepts and prototypes.
- Conduct software research, and design/deploy modern processes, technologies & frameworks to convert business objectives into high-end products and solutions.
- Investigate the architectural and engineering requirements of advanced AI & software systems, and drive the development/fulfillment of the same.
- Systemic study and adoption of the latest developments in software engineering. Establish reference architectures, generate thought leadership, and drive high-end IP generation.
- Provide leadership to a lean team of R&D engineers. Address their competency development and line management needs.
2. Experience :
- Bachelor's degree in Science, Mathematics, Engineering or Technology.
- 14 to 23 years of core technical experience in application architecture, software R&D, product engineering and/or full-stack development.
- Proven track record in architecting and developing high-scalable/high-performance/high-availability software applications for large-scale production environments.
- Strong foundation in algorithms, data structures, virtualization, performance tuning, software design principles, and quality assurance & validation.
- Extensive experience in Agile/Scrum, API Lifecycle Management, Big Data, Java, JavaScript, RDBMS, and SaaS/PaaS engineering.
- Expertise in emerging areas like blockchain, decentralized/distributed development, DevOps, edge computing, microservices, NoSql databases, etc.
- Working experience of Cloud Computing platforms (like AWS, Azure and GCP), Open Source community projects, and industry best practices in software engineering.
- (Optional) Exposure to Artificial Intelligence and Machine Learning.
3. Personal Skills :
- Ability to work on complex, highly visible, engagements under minimal supervision.
- Successfully operate in a fast-paced, dynamic and high-pressure environment.
- Lead multiple complex, technical programs at a single point of time.
https://www.course5i.com/ai-research/
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