Description:
• Rapidly deliver business-driven AI solutions by integrating existing cloud models and APIs, focusing on practical implementation rather than developing new algorithms.
• Translate business goals into AI-powered solutions, ensuring technical feasibility through collaboration with squad leads, data scientists, architects, and full stack engineers.
• Integrate Google Cloud AI services and models into microservices and workflows to support scalable and maintainable solutions.
• Design, implement, deploy, and monitor intelligent agents to support automation and personalization.
• Build and maintain CI/CD pipelines using Cloud Build and GitHub Actions, collaborating closely with DevOps engineers and SREs for robust deployment and monitoring.
• Maintain comprehensive documentation including API references, runbooks, architecture diagrams, and conduct internal demos and training sessions.
• Ensure all AI solutions comply with client corporate policies on responsible AI and ethical standards.
• Proven experience with Google Cloud Platform development (AI services/products such as Vertex AI, Document AI, BigQuery ML, Agent Development Framework). | |
| |
| | Pan India |
| | 5 to 7 Years |
| | Strong knowledge of third-party LLMs (e.g. OpenAI, Anthropic, Gemini, Azure OpenAI), Proven experience with programming languages (SQL & Python is a must), Google Cloud Platform development |
| | Strong knowledge of third-party LLMs (e.g. OpenAI, Anthropic, Gemini, Azure OpenAI), Proven experience with programming languages (SQL & Python is a must), Google Cloud Platform development |
| | Retail |
| Total Experience (Ex. 5-7 Years) | | | 5 to 7 Years |
| | Hybrid |
| | General |
