Educational Requirements

Bachelor of Engineering, BTech, BSc, BBA, MBA, MTech, MSc

Service Line

Data Analytics Unit

Responsibilities

- Develop and deploy AI/ML applications using Google ADK and Python.
- Build, track, and manage ML lifecycle workflows using MLflow.
- Deploy scalable services on GCP Cloud Run.
- Implement monitoring, logging, and observability using GCP Logging.
- Automate infrastructure provisioning using Terraform.
- Design and manage CI/CD pipelines using GitHub Actions.
- Collaborate with cross-functional teams to deliver secure and scalable AI solutions.

Additional Responsibilities
- Experience: 5 to 8 Years of experience
- Location: PAN India.

Technical and Skilled Requirements
- Strong hands-on experience with Google ADK and Python.
- Expertise in MLflow and MLOps practices.
- Experience with GCP Cloud Run and GCP Logging.
- Proficiency in Terraform for Infrastructure as Code (IaC).
- Strong experience with GitHub Actions and CI/CD automation.
- Good understanding of cloud-native architectures and AI/ML deployment.

Preferred Skills
- Technology->AI-Generative AI->Generative AI for Data Analytics

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