01
TRPD-26-06064
Google Cloud Data/ML Engineer (Edge AI & Forecasting)
Looking for a 3–4 years engineer in India to build and deploy AI/ML solutions on Google Cloud, including edge AI use cases and custom ML modeling for demand forecasting/operations research. The role centers on GCP data engineering and ML services such as Dataflow for pipelines, Pub/Sub for streaming ingestion, and data platforms like Bigtable/Spanner/AlloyDB, with analytics/ML using BigQuery ML (BQML).
Position summary
- Location
- India
- Workplace
- On-site
- Employment
- Full Time
- Experience
- Minimum 3 years and Maximum 4 years
Role overview
Why This Role Matters.
Looking for a 3–4 years engineer in India to build and deploy AI/ML solutions on Google Cloud, including edge AI use cases and custom ML modeling for demand forecasting/operations research. The role centers on GCP data engineering and ML services such as Dataflow for pipelines, Pub/Sub for streaming ingestion, and data platforms like Bigtable/Spanner/AlloyDB, with analytics/ML using BigQuery ML (BQML).
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.
01
AI on Edge
Required
02
Edge AI
Required
03
AlloyDB
Required
04
BigQuery ML
Required
05
BQML
Required
06
Cloud Bigtable
Required
07
Cloud Spanner
Required
08
Custom AI/ML Modeling
Required
09
Dataflow
Required
10
Apache Beam
Required
11
Demand Forecasting
Required
12
Operations Research
Required
13
Pub/Sub
Required
14
Google Cloud Platform
Required
15
GCP
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 Platform (GCP)
Apache Beam / Cloud Dataflow
Cloud Pub/Sub
BigQuery ML (BQML)
Custom AI/ML modeling
Demand forecasting
Operations Research (OR) fundamentals
Cloud Bigtable or Cloud Spanner or AlloyDB (at least one)
Preferred
Nice to Have
AI on Edge / Edge AI deployment
AlloyDB (PostgreSQL-compatible)
Cloud Spanner (distributed SQL)
Cloud Bigtable (wide-column NoSQL)
Streaming data processing patterns
Time-series forecasting methods
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 Google Cloud Data/ML Engineer (Edge AI & Forecasting)
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