AI Engineer

Introduction

Your Role And Responsibilities

Responsibilities

• 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.
• 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.
• 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.
• 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.
• 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.
• 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.
  

Preferred Education

Required Technical And Professional Expertise

• 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.