דרושים China, Wuhan

Anfocused on theworks 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. Below are the key responsibilities:

• 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.

• 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.

• 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.

• 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.

• 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.

• 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.

Proficiency in AI/ML libraries
Experience working with(e.g., LLMs, generative AI, reinforcement learning).
Knowledge offor different deployment environments.

Strong coding skills in
Experience with AI-driven APIs and SDKs for partner integrations. Knowledge ofDevOps/MLOpspipelines, CI/CD for AI, and automation tools.

Experience with AI/ML services from major cloud providers:Familiarity with Kubernetes, Docker, and serverless AI deployments.

Knowledge offrameworks (Apache Spark, Hadoop, Databricks).
Experience with.
Understanding of(SQL, NoSQL, GraphDBs).

Familiarity with AI observability and monitoring tools (
Experience in model explainability and AI performance tuning.

• Strong experience in AI/ML, deep learning, and data science including Generative AI
• Proficiency in Python, TensorFlow, PyTorch, or other AI frameworks.
• Knowledge of cloud AI services
• Experience with MLOps, AI deployment, and model optimization.
• Excellent communication and technical enablement skills.
• Ability to work cross-functionally with internal teams and external partners.

Provides integrated management capability across Cloud services and other IBM Business Units to give a seamless delivery experience to Clients. Manage the end to end implementation of Security Framework and DevOps platform. Manage the build and support of middleware components. Review the monitoring requirements of the solution and manage implementation of the tool chain. Ensure smooth transition from build to run and operate phase. Provides leadership for Incident, problem and change management during Run and Operate phase. Determine & track scope, milestones, tasks, risks, assumptions, objectives and dependencies relating to projects and create a governance to report progress. Proactively develop and maintain strong working relationships with both internal and external stakeholders to identify opportunities to add value and engage team members as needed.

5+ years pm experience with good communicaition skills;

Good English skills;

Rich Agile background;

Auto background is plus.

DevOps skill with Connected car, Colorful, grey and green services background+Good English based on project requirement.

Understand and apply the concepts and practices of DevOps disciplines including Continuous Development, Integration, Testing, Release and Deployment.

Understand and apply the concepts and practices of DevOps disciplines including Continuous Development, Integration, Testing, Release and Deployment.