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Solution Architect - GCP - (AI/ML)

5 years

0 Lacs

pune maharashtra india

Posted:1 month ago| Platform: Linkedin logo

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Skills Required

gcp ai ml vertex design deployment strategy learning migration model security scalability documentation leadership development data architecture engineering software storage microservices orchestration kubernetes devops communication engagement code terraform management

Work Mode

On-site

Job Type

Full Time

Job Description

Job Title:

Employment:

Required Skill: Google Cloud Platforms (GCP), AI/ML tools, Vertex AI , GCP Certified


Job Summary:

Google Cloud Platform (GCP)


Key Responsibilities:

  • Architect and implement end-to-end solutions using GCP services, with a focus on AI and machine learning capabilities.
  • Collaborate with stakeholders to gather requirements and translate them into scalable, intelligent architectures.

  • Lead cloud migration and modernization initiatives,

    integrating AI-driven components where applicable.
  • Design and deploy models using

    GCP AI tools such as Vertex AI, BigQuery & Custom model development.

  • Define best practices for cloud security, scalability, and cost optimization.
  • Create architectural diagrams, documentation, and technical roadmaps.
  • Provide technical leadership and mentorship to development and data science teams.
  • Conduct architecture reviews and ensure alignment with enterprise standards.


Required Skills & Qualifications:

  • Bachelor’s or master’s degree in computer science, Engineering, or related field.
  • 5+ years of experience in software development and architecture roles.
  • 3+ years of hands-on experience with

    GCP services (Compute Engine, Cloud Functions, BigQuery, Cloud Storage, etc.).

  • Proven experience with

    GCP AI/ML services (Vertex AI, AutoML, BigQuery ML, etc.).

  • Strong understanding of cloud-native design, microservices, and container orchestration (Kubernetes, GKE).
  • Experience with

    CI/CD pipelines and DevOps practices.

  • Excellent communication and stakeholder engagement skills.
  • Ability to balance technical depth with business strategy.

  • GCP Professional Cloud Architect or Professional Machine Learning Engineer certification.


Preferred Qualifications:

  • Experience with hybrid and multi-cloud environments.
  • Familiarity with infrastructure-as-code tools (Terraform, Deployment Manager).
  • Background in data architecture, model lifecycle management, and MLOps.

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