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Ingersoll Rand - Lead - Air System Applications

INGERSOLL- RAND (INDIA) LIMITED
4 - 8 Years
Bangalore

Posted on: 15/04/2026

Job Description

Description :

About the Company :

Ingersoll Rand is a global leader in mission-critical industrial and flow creation solutions.

Its Global Engineering & Technology Center (GEC) in Bangalore drives innovation across digital engineering, IoT, and industrial automation.

Ecoplant (AI-powered SaaS platform) is transforming industrial air systems using AI, IoT, and data analytics - helping enterprises reduce energy consumption, optimize performance, and improve operational efficiency.

Role Overview :

We are looking for a tech-driven domain expert to lead the transformation of industrial air systems using AI, data analytics, and smart automation.

This is a hybrid techno-functional leadership role at the intersection of :

- Industrial systems (compressors, control systems)

- AI/ML-driven optimization

- SaaS product strategy

You will act as a bridge between field engineering, data science, and product teams, influencing architecture, analytics models, and real-world system performance.

Key Responsibilities :

- Lead AI-driven optimization initiatives for industrial compressor systems across global deployments

- Define and evolve system architecture & master control strategies using real-time data insights

- Collaborate with Data Science & Engineering teams to improve predictive models and optimization algorithms

- Translate field data into product features, analytics improvements, and roadmap inputs

- Act as a technical SME in customer discussions, solution design, and system audits

- Monitor live IoT-enabled systems, identify inefficiencies, and drive continuous improvement

- Work closely with Product, Engineering, Customer Success, and Sales teams

- Guide L3 support and ensure high system reliability, performance, and scalability

Required Skills (Tech + Domain) :

Core Technical Skills :

- Strong understanding of Industrial IoT (IIoT), SCADA, PLC, or automation systems

- Experience with data-driven system optimization / analytics platforms

- Exposure to AI/ML applications in industrial systems (predictive maintenance, optimization, anomaly detection)

- Understanding of cloud-based SaaS platforms and system integrations

- Familiarity with data visualization tools, telemetry systems, or real-time monitoring platforms

Domain Expertise :

- Hands-on experience with compressed air systems / industrial compressors

- Proven track record in system optimization, audits, and performance improvement

- Expertise in control logic, master control strategies, and system design

Soft Skills :

- Strong problem-solving & analytical mindset

- Ability to translate complex technical concepts into business insights

- Excellent stakeholder communication (global teams & clients)

Good to Have :

- Experience working with AI-based industrial SaaS products

- Knowledge of Python / data analytics tools (optional but valuable)

- Exposure to energy optimization / sustainability solutions

Why Join Us :

- Work at the intersection of AI, IoT, and Industrial Automation

- Drive real-world impact : reduce energy waste & CO emissions

- Ownership-driven culture with high visibility and global impact

- Collaborative environment with cross-functional innovation

Perks & Benefits :

- Employee Stock Ownership Program (ESOPs)

- Performance Bonus

- Comprehensive Health Insurance

- Learning & Development (LinkedIn Learning)

- Employee Recognition Programs

- Flexible & Inclusive Work Culture


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