Tech Stack
AWSAzureCloudGoogle Cloud PlatformJavaPythonPyTorchTensorflow
About the role
- Lead the design, development, and implementation of AI models and algorithms using Agentic AI and Agent Workspace for Google Gemini and EMa.AI.
- Drive new AI initiatives across different OpCos and departments, ensuring seamless integration and functionality.
- Enhance and refine existing Agentic AI capabilities to improve performance and scalability.
- Collaborate with cross-functional teams to integrate AI solutions into existing systems and workflows.
- Conduct research and stay updated on the latest advancements in AI technologies and methodologies.
- Optimize AI models for performance, scalability, and accuracy.
- Troubleshoot and resolve complex issues related to AI systems and applications.
- Document AI development processes, methodologies, and best practices.
- Mentor junior developers and participate in code reviews, providing constructive feedback to team members.
- Provide strategic direction and leadership in AI technology adoption and innovation.
Requirements
- Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field; PhD preferred.
- 10+ years of experience in AI model development, with a focus on Agentic AI and Agent Workspace for Google Gemini and EMa.AI.
- Strong programming skills in languages such as Python, Java, or C++.
- Primary experience with Google Cloud Platform (GCP); experience with AWS and Azure is a plus.
- Experience with GPU-based AI model development is a plus.
- Extensive experience with Generative AI (GenAI) and Large Language Models (LLMs) is required.
- Experience with AI frameworks and libraries such as TensorFlow, PyTorch, or similar.
- Knowledge of machine learning algorithms, neural networks, and natural language processing.
- Excellent problem-solving skills and the ability to work independently and as part of a team.
- Strong communication skills and the ability to convey complex technical concepts to non-technical stakeholders.
- Proven leadership skills and experience in guiding AI projects from conception to deployment.