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Solution Architect - (GCP) - (AI/ML) - (Telecom Domain)

5 years

0 Lacs

pune maharashtra india

Posted:2 days ago| Platform: Linkedin logo

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Skills Required

gcp ai ml stack vertex learning development design model security scalability documentation leadership data architecture engineering software storage devops communication engagement

Work Mode

On-site

Job Type

Full Time

Job Description

Job Title:

Domain: Telecom only.

Employment:

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


Job Summary:

telecom product ecosystem.


Key Responsibilities:

  • Architect and implement end-to-end solutions using GCP services, with a focus on AI and machine learning capabilities.

  • Lead cloud modernization and product development initiatives.

  • Collaborate with stakeholders to gather requirements and translate them into scalable, intelligent architectures.
  • 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.
  • Mandatory

    Telecom domain

    experience.
  • 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.).

  • 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.

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