Senior Consultant Data & AI

Gurgaon, Haryana, India

Actively hiring, first seen by us today

Pay: Pay not listed
Work setting: Not stated
Employment: Not stated

What you’ll work on

Full posting

Design, deploy, configure, and maintain Splunk Enterprise and Splunk Cloud environments
Manage indexers, search heads, deployment servers, forwarders, and clusters
Ensure high availability, scalability, and performance of Splunk infrastructure
Develop parsing, indexing, and field extraction strategies for data ingestion
Create dashboards, alerts, reports, and KPI-based monitoring for business teams

From the employer’s posting

Design, deploy, configure, and maintain Splunk Enterprise / Splunk Cloud environments.

Manage Indexers, Search Heads, Deployment Servers, Forwarders, and Cluster Management.

Ensure high availability, scalability, and performance optimization of Splunk infrastructure.

Develop and maintain parsing, indexing, and field extraction strategies.

Create interactive dashboards, alerts, reports, and visualizations. Develop KPI-based monitoring solutions for business and operational teams.

What you’ll bring

All qualifications

Core experience

Strong expertise in Splunk architecture, onboarding, dashboarding, and administration
Experience with SPL queries and advanced searches

Qualification wording

strong expertise in Splunk architecture, onboarding, dashboarding, data analytics, administration, and integration with enterprise platforms

Implement advanced searches, SPL queries, and data correlation techniques.

Apply at Orange Business

Posting record

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Actively hiringFirst seen by us today, still listed, and not a repost of an earlier posting.

Status in our records: Live
First seen by us: Nov 5, 2026today
Recorded sightings: 1

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Time since we first saw it

Day 0

Early. Similar jobs usually come down between day 6 and day 70.

From 4,442 similar postings that came down. Coming down is not always a hire.

Orange Business is hiring

27 open jobs

Open jobs by the week we first saw them, last 12 weeks.

Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

Python
AWS
Azure
GCP
Kubernetes
MySQL
Power BI

Where the posting names them

- Knowledge of Linux/Unix administration. - Experience with scripting languages such as Python, Shell, or PowerShell. - Understanding of log management, SIEM, and observability concepts.

Primary : 6 to 7 years experience on Splunk Administration and Architecture y 9 to 12 Years of overall IT experience Elastic Stack , ETL Process Power BI Languages: Python, Database : MySQL OS: linux Kubernetes Certifications : Splunk Core Certified Power User Splunk Enterprise Certified Admin

- Experience with APIs, integrations, and automation tools. Knowledge of cloud platforms (AWS, Azure, GCP) is an advantage Primary :

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Your next step

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Demand for ML Engineer roles

New ML Engineer postings at the employers we follow are up 12% over the last 5 weeks compared with the 5 before.

August 17Last week

Each bar is one week of new postings. The darkest bars are the last 5 weeks.

Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.

About the role

We file this job under ML Engineer, by the work the posting describes.

ML engineers put machine learning models into products. They write the code that trains, ships, serves and monitors models so a recommendation or prediction works for real users.

Postings ask for strong Python and software engineering, a framework such as PyTorch, cloud services, and more and more often experience with large language models.

A data scientist often works out which model to build; an ML engineer makes it run reliably in production.

US government figures for computer and information research scientists

Median yearly pay, May 2025: $140,300
Expected change, 2025 to 2035: 21.8% more jobsagainst 3.5% for all jobs

The government has no code for ML engineers, so these figures are for the closest group, computer and information research scientists.

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1221.

Job description

View original posting ↗

Publication date : Oct 26, 2026, 12:00AM

Join us at Orange Business!

We are a network and digital integrator that understands the entire value chain of the digital world, freeing our customers to focus on the strategic initiatives that shape their business.

Every day, you will collaborate with a team dedicated to providing consistent, sustainable global solutions, no matter where our customers operate. With over 30,000 employees across Asia, the Americas, Africa, and Europe, we offer a dynamic environment to develop and perfect your skills in a field filled with exciting challenges and opportunities.

We are seeking an experienced and highly motivatedSenior Consultant – Data & AI to join our Data & AI Skill Centre. The candidate will be responsible for designing, implementing, managing, and optimizing Splunk-based solutions to support enterprise monitoring, security analytics, operational intelligence, and data-driven decision-making for customer environments.

The ideal candidate should possess strong expertise in Splunk architecture, onboarding, dashboarding, data analytics, administration, and integration with enterprise platforms while ensuring scalability, security, and performance optimization.

Splunk Administration & Architecture

Design, deploy, configure, and maintain Splunk Enterprise / Splunk Cloud environments.
Perform Splunk installation, configuration, upgrades, clustering, indexing, and distributed deployments.
Manage Indexers, Search Heads, Deployment Servers, Forwarders, and Cluster Management.
Ensure high availability, scalability, and performance optimization of Splunk infrastructure.

Data Onboarding & Integration

Configure and manage data ingestion from multiple sources including:
Develop and maintain parsing, indexing, and field extraction strategies.
Integrate Splunk with third-party monitoring and security tools.

Dashboarding & Reporting

Create interactive dashboards, alerts, reports, and visualizations.
Develop KPI-based monitoring solutions for business and operational teams.
Implement advanced searches, SPL queries, and data correlation techniques.

Automation & Optimization

Develop automation scripts and workflows for operational efficiency.
Optimize indexing, search performance, and storage utilization.
Perform root cause analysis and troubleshooting for platform issues.

Quality & Documentation

Maintain technical documentation including:
Ensure proper handover documentation for support and operational teams

Stakeholder Collaboration

Work closely with customer teams, architects, security teams, and project managers.
Provide technical guidance and mentoring to team members.
Participate in solution discussions, requirement gathering, and implementation planning.

Technical Skills

Strong hands-on experience with:
Expertise in SPL (Search Processing Language).
Knowledge of Linux/Unix administration.
Experience with scripting languages such as Python, Shell, or PowerShell.
Understanding of log management, SIEM, and observability concepts.
Experience with APIs, integrations, and automation tools.

Knowledge of cloud platforms (AWS, Azure, GCP) is an advantage

Primary :

6 to 7 years experience on Splunk Administration and Architecture y
9 to 12 Years of overall IT experience
Elastic Stack , ETL Process
Power BI
Languages: Python,
Database : MySQL
OS: linux
Kubernetes
Certifications :

Splunk Core Certified Power User
Splunk Enterprise Certified Admin

You bring rigor, passion for challenges, and determination. You seek the opportunity to expand your expertise, achieve your goals, and thrive.

Global Opportunities: Work in multi-national teams with opportunity to collaborate with colleagues and customers from all over the world.
Flexible Work Environment: Flexible working hours and possibility to combine work from office and home (hybrid ways of working).
Professional Development: Training programs and upskilling/re-skilling opportunities.
Career Growth: Internal growth and mobility opportunities within Orange.
Caring and Daring Culture: Health and well-being programs and benefits, diversity & inclusion initiatives, CSR and employee connect events.
Reward Programs: Employee Referral Program, Change Maker Awards.

At Orange, only your skills matter.

Regardless of your age, gender, background, origin, religion, sexual orientation, disability, neurodiversity, or appearance, we actively encourage diversity within our teams, as it is a collective strength and a driver of innovation.
Orange is a disability-inclusive employer: please feel free to let us know about any specific needs you may have.

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