Cloud Data Architect

2 weeks ago


Delhi, Delhi, India SourceBae Full time

About the Role:
We are looking for a highly skilled Data Engineer to join our team at SourceBae. As a Data Engineer, you will play a crucial role in developing and maintaining our data pipelines, ensuring the smooth operation of our AI and machine learning workflows.

Key Responsibilities:
Configure and manage Vertex AI Search for efficient indexing and retrieval of AI model outputs and large datasets.
Utilize Vertex AI Workbench and Notebooks to develop and manage machine learning models and data workflows.
Design, build, and manage scalable data stores on GCP (BigQuery, Cloud Spanner, Cloud SQL) to support AI and data applications.
Collaborate with data scientists and ML engineers to integrate machine learning models into production systems using Vertex AI.
Develop and deploy agent builders for AI-driven conversational systems and automation workflows.
Manage GCP integrations with external systems and APIs to ensure secure and efficient data flows.
Build and maintain scalable data pipelines and microservices using GCP tools (Dataflow, Pub/Sub, Kubernetes).
Ensure the performance, scalability, and reliability of AI models, data pipelines, and microservices in production environments.

Requirements:
Hands-on experience setting up and managing Vertex AI Search and other AI services on GCP.
Strong experience with Vertex AI Workbench and Notebooks for model development, testing, and deployment.
Proven experience building and integrating scalable microservices on GCP using Pub/Sub, Dataflow, and Kubernetes.
Experience designing and managing data stores on GCP (BigQuery, Cloud SQL, Cloud Spanner).
Proficient in Dataflow for building and managing data pipelines.
Experience with agent builders to develop AI-driven automation, such as chatbots or AI-powered assistants.
Proficiency in Python, Java, or Go for developing data pipelines and microservices.
Familiarity with GCP integrations and managing secure connections with external systems and APIs.
Knowledge of Docker for containerization and Kubernetes for deploying scalable AI services.
Strong skills in optimizing performance, scalability, and reliability of AI solutions.
Excellent communication and collaboration skills, able to work with both technical and non-technical teams.

Nice to Have:
Experience with Gemini models and prompt engineering to optimize AI model outputs.
Familiarity with Generative AI models and integration of prompting techniques.
Knowledge of Agent Builder and Dialogflow for developing conversational AI solutions.

What We Offer:
If you're interested in this opportunity, please submit your CV to Khushboo@Sourcebae.com or share it via WhatsApp at 8827565832


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