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IBM started hiring for the role of AI Engineer for B.E/B.Tech/B.Sc graduates. Candidates looking for jobs in Pune/ BANGALORE can utilise this opportunity. Interested and eligible candidates can apply online as soon as possible. The detailed eligibility criteria and application process are given below Also apply for Graduate trainee Engineer job
IBM’s greatest invention is the IBM. We believe that through the application of intelligence, reason and science, we can improve business, society and the human condition, bringing the power of an open hybrid cloud and AI strategy to life for our clients and partners around the world.
Restlessly reinventing since 1911, we are not only one of the largest corporate organizations in the world, we’re also one of the biggest technology and consulting employers, with many of the Fortune 50 companies relying on the IBM Cloud to run their business.
At IBM, we pride ourselves on being an early adopter of artificial intelligence, quantum computing and blockchain. Now it’s time for you to join us on our journey to being a responsible technology innovator and a force for good in the world.
An AI Engineer focused on the partner ecosystem works at the intersection of artificial intelligence (AI), business partnerships, and technical enablement. This role is responsible for driving AI adoption, enabling partners with AI tools, and collaborating on AI-driven solutions.
1. Partner Enablement & AI Adoption
* Educate partners on AI technologies, frameworks, and best practices.
* Conduct workshops, webinars, and training sessions to upskill partners on AI models and tools.
* Provide technical guidance and resources to help partners integrate AI into their solutions.
* Support partners in understanding AI/ML development, deployment, and optimization.
2. AI Solution Development & Integration
* Collaborate with partners to design, develop, and implement AI-powered solutions.
* Assist partners in integrating AI models (e.g., machine learning, NLP, computer vision) into their products.
* Support the customization of AI models for partner use cases.
* Ensure scalability, security, and efficiency in AI deployments within partner ecosystems.
3. Technical Support & Troubleshooting
* Provide hands-on technical support for partners during AI development and deployment.
* Troubleshoot AI-related issues, ensuring smooth integration with partner platforms.
* Work closely with internal AI teams to address partner challenges.
4. Collaboration & Relationship Management
* Build and maintain strong relationships with technology and business partners.
* Act as a bridge between internal AI teams and external partners.
* Gather feedback from partners and relay insights to improve AI offerings.
* Align AI solutions with partner business objectives and industry trends.
5. AI Research & Innovation
* Stay updated on the latest AI trends, tools, and best practices.
* Experiment with emerging AI models and frameworks to provide innovative solutions for partners.
* Collaborate with AI researchers and developers to enhance AI capabilities.
6. Compliance, Ethics & Responsible AI
* Ensure AI solutions comply with ethical AI principles and industry regulations.
* Advise partners on AI governance, data privacy, and compliance requirements.
* Promote fairness, transparency, and accountability in AI deployments.
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