Technology Architect

As an AI/ML Data Engineer, you will be responsible for developing applications and systems that utilize AI tools and Cloud AI services. Your typical day will involve applying CCAI and GenAI models as part of the solution, utilizing deep learning, neural networks and chatbots.

Must Have

• Strong knowledge of Python and exposure to at least one framework
• Hands-on experience designing and integrating APIs, working with JSON payloads
• Practical knowledge of Google Cloud Platform (Cloud Run, Vertex AI, Cloud Functions, Pub/Sub, IAM, etc.)
• Proficiency with Git/GitHub workflows
• Experience with CI/CD pipelines for GCP
• Proficiency in Google Cloud Platform Architecture
• Strong understanding of microservices architecture and containerization
• Experience with infrastructure as code tools such as Terraform or CloudFormation
• Familiarity with security best practices in cloud environments
• Minimum 3 years of experience in Google Cloud Platform Architecture
• Experience in Back-end integration developers

Good to Have

• Prompt Engineering: Ability to refine prompts for AI/LLM-based responses
• Familiarity with DialogFlow CX / CCAI or other chatbot platforms
• Experience with cloud migration strategies and best practices

Job Description

Project Role : Technology Architect

Project Role Description : Design and deliver technology architecture for a platform, product, or engagement. Define solutions to meet performance, capability, and scalability needs.

Must have skills : Google Cloud Platform Architecture

Good to have skills : NA

Minimum 3 year(s) of experience is required

Educational Qualification : 15 years full time education

Summary: As an AI/ML Data Engineer, you will be responsible for developing applications and systems that utilize AI tools and Cloud AI services. Your typical day will involve applying CCAI and GenAI models as part of the solution, utilizing deep learning, neural networks and chatbots. Roles & Responsibilities: o Programming: Strong knowledge of Python and exposure to at least one framework o APIs & JSON: Hands-on experience designing and integrating APIs, working with JSON payloads o Cloud: Practical knowledge of Google Cloud Platform (Cloud Run, Vertex AI, Cloud Functions, Pub/Sub, IAM, etc.) o Version Control: Proficiency with Git/GitHub workflows o Experience with CI/CD pipelines for GCP o Prompt Engineering: Ability to refine prompts for AI/LLM-based responses (Good to have) o Familiarity with DialogFlow CX / CCAI or other chatbot platforms (Good to have) Professional & Technical Skills: - Must To Have Skills: Proficiency in Google Cloud Platform Architecture. - Good To Have Skills: Experience with cloud migration strategies and best practices. - Strong understanding of microservices architecture and containerization. - Experience with infrastructure as code tools such as Terraform or CloudFormation. - Familiarity with security best practices in cloud environments. Additional Information: - The candidate should have minimum 3 years of experience in Google Cloud Platform Architecture. Should have experience in Back-end integration developers - This position is based at our Bengaluru office. - A 15 years full time education is required.