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Vertex AI
Required
TRPD-26-05972
Vertex AI Engineer
Looking for a Vertex AI Engineer (6–8 years, permanent, India) with strong hands-on experience building, deploying, and operating machine learning solutions on Google Cloud using Vertex AI. The role focuses on Vertex AI components such as training, pipelines, model registry, and online/batch prediction, with supporting skills in Python and MLOps practices for reproducible, production-grade ML.
Position summary
- Location
- India
- Workplace
- On-site
- Employment
- Full Time
- Experience
- Minimum 6 years and Maximum 8 years
Role overview
Why This Role Matters.
Looking for a Vertex AI Engineer (6–8 years, permanent, India) with strong hands-on experience building, deploying, and operating machine learning solutions on Google Cloud using Vertex AI. The role focuses on Vertex AI components such as training, pipelines, model registry, and online/batch prediction, with supporting skills in Python and MLOps practices for reproducible, production-grade ML.
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.
Technology stack
Tools & Technologies.
The platforms and technologies you'll use to build modern, enterprise-grade solutions.
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Google Cloud
Required
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GCP
Required
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Vertex AI Pipelines
Required
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Vertex AI Training
Required
06
Vertex AI Prediction
Required
07
Model Registry
Required
08
MLOps
Required
09
Python
Required
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Docker
Required
11
Kubernetes
Required
12
CI/CD
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
Vertex AI (Google Cloud)
Machine Learning deployment on Vertex AI (online/batch prediction)
Model training on Vertex AI
Vertex AI Pipelines (MLOps workflows)
Python for ML/MLOps
Preferred
Nice to Have
Google Cloud Platform (GCP) broader services
Docker
Kubernetes
CI/CD for ML (MLOps)
Feature Store concepts (Vertex AI Feature Store)
Model monitoring concepts (drift/performance)
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 Vertex AI Engineer
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