Dadri Noida Uttar Pradesh Ml architect Jobs – 107 Open Jobs Today

AI Architect
CLOUDSUFI —Noida, Uttar Pradesh
- Full-time
- English
- APIs
- AI
Quick apply
AI/ML Engineer – Agentic AI
WebSenor InfoTech —Noida, Uttar Pradesh
- Full-time
- Hybrid work
- Azure
- Computer Science
- Master's degree
Quick apply
5d
Senior Data Architect
Alight —Noida, Uttar Pradesh
- Oracle
- Computer Science
- Data analysis skills
- Health insurance
- Paid sick time
Senior Data Engineer – Data Modeling & Oracle Cloud Migration
WebSenor InfoTech —Noida, Uttar Pradesh
- Full-time
- Remote
- Azure
- Oracle
- Computer Science
Quick apply
6d
Lead -AI/ML
Nucleus Software —Noida, Uttar Pradesh
- Java
- Bachelor's degree
- Machine learning
Data/AI Lead Optimizing procurement for hospitality success
Skyleaf Consultants —Noida, Uttar Pradesh
- ₹20,00,000 - ₹35,00,000 a year
- Full-time
- Oracle
- Computer Science
- Java
Technical Lead (AI ML)
SynapseIndia —Noida, Uttar Pradesh
- Weekend availability
- Azure
- System design
- Databases
- Health insurance
Senior Data Engineer
WebSenor InfoTech —Noida, Uttar Pradesh
- Full-time
- Hybrid work
- Azure
- Computer Science
- SQL
Quick apply
15h
Data Engineer
WebSenor InfoTech —Noida, Uttar Pradesh
- Full-time
- Azure
- Computer Science
- DevOps
Quick apply
16h
Senior Pre-Sales Consultant
Impressico Business Solutions —Noida, Uttar Pradesh
- Computer Science
- Presentation skills
- Bachelor's degree
Lead Verification Engineer
Cadence Design Systems —Noida, Uttar Pradesh
- Full-time
- Master's degree
- Electrical experience
- Bachelor's degree
Senior AI Engineer – (Land Services)
WSP —Noida, Uttar Pradesh
- Hybrid work
- Azure
- Computer Science
- Master's degree
13d
Systems Integration Senior Specialist Advisor
NTT Ltd —Noida, Uttar Pradesh
- Full-time
- Azure
- Doctoral degree
- Computer Science
Senior AI/ML-Generative AI
WebSenor InfoTech —Noida, Uttar Pradesh
- Full-time
- Hybrid work
- Azure
- Computer Science
- DevOps
Quick apply
Senior DevOps + MLOps Engineer
Luxoft —Noida, Uttar Pradesh
- DevOps
- English
- AWS
Regional AI & Data Hub Manager
Bureau Veritas —Noida, Uttar Pradesh
- Full-time
- English
- Travel
- AI
3d
Databricks Delta Lake / Lakebase & Oracle Cloud Migration
WebSenor InfoTech —Noida, Uttar Pradesh
- Full-time
- Hybrid work
- Azure
- Oracle
- Computer Science
Quick apply
12d
Data Modeler
WebSenor InfoTech —Noida, Uttar Pradesh
- Full-time
- Azure
- Oracle
- Computer Science
Quick apply
15h
Cloud Sales – Business Development (AWS)
AppSquadz Software —Noida, Uttar Pradesh
- Full-time
- Sales
- DevOps
- AWS
1d
Systems Integration Specialist Advisor
NTT Ltd —Noida, Uttar Pradesh
- Full-time
- Azure
- Master's degree
- AWS

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AI Architect

CLOUDSUFI -
Noida, Uttar Pradesh

Quick apply

Job details

Permanent | Full-time

Qualifications

CI/CD
Statistics
Cloud architecture
React
English
Google Cloud Platform
SPARQL
Terraform
Continuous integration
REST
RDF
APIs
Apache
AI
TypeScript
Graph databases
Python

Full job description

CLOUDSUFI – Google Cloud Architect

LOCATION: Guadalajara, Mexico

SENIORITY: Principal

ENGAGEMENT: Full-Time Permanent

REPORTS TO: VP, AI Services / Program Director

ABOUT THE ROLE

CLOUDSUFI, a Google Cloud Premium Partner specializing in data and AI, is seeking a Principal Google Cloud Architect to drive the technical execution of our Google Cloud program. This is a high-visibility, horizontal leadership role working in close daily collaboration with Google's core Cloud engineering team.

The Tech Lead is the technical spine of the engagement — sitting across all four delivery tracks (Data Engineering, Frontend, ML/AI, and DevOps/Infrastructure), providing architectural direction, resolving cross-track dependencies, and ensuring the quality of everything we ship. Equally critical is the ability to represent CLOUDSUFI credibly and collaboratively to Google counterparts at every level.

WHAT YOU WILL DO

Technical Leadership & Architecture

Own end-to-end technical architecture across all tracks, aligned to Google Cloud standards, APIs, and roadmap.
Define and enforce engineering best practices, coding standards, and review processes across all workstreams.
Make high-stakes decisions on data modeling, pipeline architecture, schema design, and system integration — with clear documentation.
Identify technical risks and cross-track conflicts early; drive resolution before they impact delivery.
Lead architecture review sessions with Google's core engineering team.

Cross-Track Coordination

Serve as the single technical point of contact horizontally across all tracks, ensuring consistent patterns and interfaces.
Facilitate technical syncs across track leads; surface dependencies early and coordinate sequencing of deliverables.
Define shared standards for data contracts, API interfaces, and infrastructure configuration.

Google Partnership & Communication

Build and maintain a strong working relationship with the Google Cloud core team through joint ceremonies, reviews, and design discussions.
Represent CLOUDSUFI's delivery quality and technical credibility in all Google interactions.
Translate complex technical discussions into clear summaries for both technical and non-technical audiences.
Proactively communicate progress, blockers, and decisions to CLOUDSUFI leadership and Google program managers.

Delivery Quality & Engineering Excellence

Drive code reviews, set quality gates, and ensure CI/CD, test coverage, and observability standards are met across tracks.
Champion performance, reliability, and scalability from design through production.
Mentor and technically grow senior engineers across tracks (without formal HR responsibility).
Contribute hands-on to critical technical work — this is a hybrid IC and leadership role.

TECHNOLOGY STACK & DOMAIN KNOWLEDGE

Core / Must-Have

Google Cloud — knowledge graph, Gemini, import pipelines, and the Statistical Variable hierarchy.
Google Cloud Spanner — schema design, distributed transactions, interleaved tables, and performance tuning at scale.
Google BigQuery — data modeling, partitioning/clustering, query optimization, and downstream integration.
Data pipelines — Apache Beam / Dataflow or equivalent GCP-native ETL tooling.
Infrastructure as Code — Terraform on GCP; Cloud Build, Artifact Registry, GKE or Cloud Run.

Strong Advantage

Python — primary language for Cloud import tooling and ML pipelines.
TypeScript / React — Cloud web frontend and visualization layers.
ML lifecycle — Vertex AI, BigQuery ML, or equivalent.
Knowledge graphs — RDF / SPARQL or statistical data modeling; Cloud Python / REST APIs and DCID import automation.
Google engineering culture — familiarity with internal tools (Buganizer, Critique, Cider) or prior delivery inside a Google product or partnership engagement.

EXPERIENCE & QUALIFICATIONS

Required

10+ years of software engineering experience, including 3+ years as a formal or informal tech lead across multiple workstreams.
Demonstrable experience delivering production-grade systems on Google Cloud Platform.
Prior experience working with or for Google (as a Googler, through a partnership program, or embedded as a contractor) — strongly preferred.
Exceptional verbal and written English; able to engage confidently with senior Google engineers and program managers.
Proven ability to operate across ambiguous, fast-moving programs with multiple parallel tracks.
Based in Guadalajara, Mexico, and able to collaborate on-site as required by the engagement.

Preferred

Experience in data and AI consulting or professional services, particularly within the Google Cloud partner ecosystem.
Familiarity with open data, public statistics, or knowledge graph use cases (UN SDG data, census, health/economic indicators).
Prior contribution to open-source projects, particularly Google Cloud or related tooling.

WHAT CLOUDSUFI OFFERS

A flagship engagement at the intersection of Google's open data infrastructure and real-world AI/data impact.
Daily collaboration with Google's core engineering team on a strategic open data initiative.
Competitive compensation benchmarked at Principal level in the Guadalajara market.
CLOUDSUFI's full benefits package.
A culture that values technical excellence, client trust, and a people-first approach to delivery.

ABOUT CLOUDSUFI

CLOUDSUFI is a mid-size technology company focused on data and AI, and a certified Google Cloud Premium Partner. We build high-impact data platforms and AI solutions for enterprise clients globally, leveraging the full breadth of the Google Cloud ecosystem. Our engagement with Google Cloud reflects the depth of trust Google places in our capabilities.

Quick apply

Refine Your Search

ml architect jobs in dadri noida uttar pradesh

AI Architect

AI/ML Engineer – Agentic AI

Senior Data Architect

Senior Data Engineer – Data Modeling & Oracle Cloud Migration

Lead -AI/ML

Data/AI Lead Optimizing procurement for hospitality success

Technical Lead (AI ML)

Senior Data Engineer

Data Engineer

Senior Pre-Sales Consultant

Lead Verification Engineer

Senior AI Engineer – (Land Services)

Systems Integration Senior Specialist Advisor

Senior AI/ML-Generative AI

Senior DevOps + MLOps Engineer

Regional AI & Data Hub Manager

Databricks Delta Lake / Lakebase & Oracle Cloud Migration

Data Modeler

Cloud Sales – Business Development (AWS)

Systems Integration Specialist Advisor

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