Job Details:Job Description:
DCAI Software Developer Enabling is seeking a dynamic and passionate Technical AI Evangelist to join our team. This is your chance to be part of a pioneering group dedicated to transforming the future of AI technologies.
What We Offer:
- A chance to work with cutting-edge AI and Generative AI technologies.
- A role within a team that's at the heart of the AI revolution, impacting numerous industries.
- An opportunity to simplify and democratize the use of Intel's AI and GenAI for developers worldwide.
- A platform to influence the integration of AI workflows, solutions, and user experiences.
Your Impact:
- Craft compelling documentation and develop sample code for Intel Xeon and Intel Gaudi AI Accelerators.
- Act as a key player in promoting our AI technologies and solutions to a broad audience, including developers and enterprise leaders.
- Empower innovation by making our advanced technologies understandable and accessible.
Who You Are:
- A tech enthusiast with a flair for communicating complex concepts in a clear and engaging manner.
- A developer at heart who enjoys creating examples that inspire and educate.
- Someone who thrives in a collaborative environment and is eager to share knowledge with others.
- A visionary eager to shape the future of AI and its applications across the globe.
- Join us at DCAI Software Developer Enabling and be a part of the team that's leading the AI charge. Apply now to become our Technical AI Evangelist and help us unlock the full potential of AI for developers and businesses everywhere!
Job Responsibilities:
- Develop clear and comprehensive documentation for Intel Xeon and Intel Gaudi AI Accelerators.
- Create and maintain sample code to demonstrate the capabilities of our AI accelerators.
- Engage with the developer community to promote understanding and adoption of our AI technologies.
- Collaborate with product teams to ensure accurate and up-to-date documentation.
- Host webinars and workshops to educate customers and partners about our AI accelerators.
- Stay updated on AI trends and advancements to ensure our documentation and sample code reflect the latest technologies.
- Support customers during the development, deployment, and maintenance of their AI solutions.
Qualifications:- Bachelor's degree in Computer Science, Engineering, or a related field.
- Proven experience of 10+ years as a Technical Evangelist or similar role.
- Excellent coding skills and strong familiarity with AI, Gen AI and machine learning concepts.
- Experience with Intel Xeon and Intel Gaudi AI Accelerators is highly desirable.
- Exceptional communication skills, both written and verbal.
- Ability to translate complex technical concepts into understandable terms for a wide audience.
- Self-motivated and able to work independently.
Requirements listed would be obtained through a combination of industry relevant job experience, internship experiences and or schoolwork/classes/research.
Job Type:Experienced HireShift:Shift 1 (India)Primary Location: India, BangaloreAdditional Locations:Business group:The Data Center & Artificial Intelligence Group (DCAI) is at the heart of Intel’s transformation from a PC company to a company that runs the cloud and billions of smart, connected computing devices. The data center is the underpinning for every data-driven service, from artificial intelligence to 5G to high-performance computing, and DCG delivers the products and technologies—spanning software, processors, storage, I/O, and networking solutions—that fuel cloud, communications, enterprise, and government data centers around the world.Posting Statement:All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.Position of TrustN/A
Work Model for this Role
This role will be eligible for our hybrid work model which allows employees to split their time between working on-site at their assigned Intel site and off-site. * Job posting details (such as work model, location or time type) are subject to change.
