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TRPD-26-06074
GCP AI/ML Architect (Telecom)
Senior AI/ML professional (8–12 years) to build and deploy telecom-focused AI solutions on Google Cloud. The role covers core machine learning and applied telco AI use cases, plus end-to-end cloud architecture, data engineering on GCP, and MLOps practices including containerization for reliable model delivery at scale.
Position summary
- Location
- India
- Workplace
- On-site
- Employment
- Full Time
- Experience
- Minimum 8 years and Maximum 12 years
Role overview
Why This Role Matters.
Senior AI/ML professional (8–12 years) to build and deploy telecom-focused AI solutions on Google Cloud. The role covers core machine learning and applied telco AI use cases, plus end-to-end cloud architecture, data engineering on GCP, and MLOps practices including containerization for reliable model delivery at scale.
Your Impact
Deliver Enterprise Value
Help organisations solve complex business problems through modern technology, consulting expertise and measurable outcomes.
Collaboration
Work Across Teams
Collaborate with consultants, architects, engineers and client stakeholders throughout the project lifecycle.
Growth
Learn Continuously
Gain exposure to enterprise technologies, certifications, mentoring and real-world project experience.
Career Path
Grow With Ubique
Build a long-term consulting career with opportunities to take on greater responsibility and leadership over time.
Responsibilities
What You'll Be Doing.
Every role at Ubique contributes directly to solving meaningful business challenges for our clients.
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MLOps & Containerization, Cloud Architecture, GCP Data Engineering
Technology stack
Tools & Technologies.
The platforms and technologies you'll use to build modern, enterprise-grade solutions.
01
GCP
Required
02
Google Cloud
Required
03
Vertex AI
Required
04
BigQuery
Required
05
Dataflow
Required
06
Pub/Sub
Required
07
Cloud Storage
Required
08
Cloud Run
Required
09
GKE
Required
10
Docker
Required
11
MLOps
Required
12
CI/CD
Required
13
Python
Required
14
TensorFlow
Required
15
PyTorch
Required
16
scikit-learn
Required
17
Data Engineering
Required
18
Cloud Architecture
Required
19
Telecom
Required
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Telco AI
Required
Requirements
Skills & Experience.
We value curiosity, collaboration and continuous learning. If you don't meet every requirement but believe you can make an impact, we'd still love to hear from you.
Essential
Required Qualifications
Google Cloud AI/ML stack (GCP)
Core machine learning concepts (supervised/unsupervised learning, model evaluation)
Programming for ML (Python)
ML frameworks (e.g., TensorFlow/PyTorch/scikit-learn)
MLOps fundamentals (CI/CD for ML, model versioning, deployment/monitoring)
Containerization (Docker)
Cloud architecture on GCP
GCP data engineering (data pipelines, storage/processing on GCP)
Telecom domain data and architecture understanding
Applied telecom AI use cases (e.g., churn, network optimization, anomaly detection)
Preferred
Nice to Have
Kubernetes (GKE) for container orchestration
Infrastructure as Code (e.g., Terraform)
Feature store concepts/tools
Model governance and responsible AI practices
Streaming data processing (e.g., Pub/Sub, Dataflow)
What you'll gain
More Than Just A Job.
We're committed to helping every team member grow professionally, personally and technically while working on meaningful projects.
Global Exposure
Collaborate with international clients and multicultural teams on enterprise programmes.
Continuous Learning
Expand your expertise through mentoring, certifications and hands-on project experience.
Career Growth
Take ownership, develop leadership skills and grow your consulting career over time.
Flexible Working
Hybrid and remote collaboration designed around trust and delivering exceptional outcomes.
People First
Join a supportive culture where collaboration, respect and long-term relationships come first.
Enterprise Projects
Work on meaningful technology initiatives for leading organisations across industries.
Apply
Apply for GCP AI/ML Architect (Telecom)
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