Process Optimisation Engineer -AI Driven

Maruti Suzuki; Sonipat; On-site; INR 900,000 - 1,300,000; Full time

Job summary

Maruti Suzuki in Kharkhoda is seeking a Process Optimisation Engineer - AI driven to build AI/ML solutions that improve PE processes and automate work.

The role focuses on turning business problems into AI-driven solutions, collaborating with IT/DE for integration, and ensuring data quality, governance, and scalable model monitoring.

Qualifications

• Knowledge of AI/ML, data analytics, and model lifecycle.
• Hands-on exposure to Python / AI tools / ML frameworks.
• Understanding of data handling, APIs, and system integration.
• Exposure to manufacturing or industrial AI applications (preferred).
• Strong analytical thinking and problem-solving skills.
• Good communication and stakeholder management skills.

Responsibilities

• Build AI/ML solutions to improve PE processes and automate work.
• Develop real-world AI use cases (predictive, vision, NLP).
• Turn business problems into AI-driven solutions with stakeholders.
• Work as bridge with DE to Integrate AI with enterprise systems.
• Build clean, secure, and well-governed data.
• Design and use AI responsibly, ethically, and sustainably.
• Monitor models and improve performance at scale.
• Drive user adoption through training and support.

Skills

AI/ML knowledge

Python

Data handling

Stakeholder mgmt

System integration

Education

BE/BTech degree

Tools

AI frameworks

Job description

Hiring Level

AM/DM

Job Title

Process Optimisation Engineer -AI driven

Job Location

Kharkhoda

Required Qualification

B.E. / B.Tech (IT / MCA / Mechatronics / Electrical / ECE / Mechanical)

Job Responsibilities

• Build AI/ML solutions to improve PE processes and automate work
• Develop real-world AI use cases (predictive, vision, NLP)
• Turn business problems into AI-driven solutions with stakeholders
• Work as bridge with DE to Integrate AI with enterprise systems
• Build clean, secure, and well-governed data
• Design and use AI responsibly, ethically, and sustainably
• Monitor models and improve performance at scale
• Drive user adoption through training and support

Competencies / Skills

• Knowledge of AI/ML, data analytics, and model lifecycle
• Hands-on exposure to Python / AI tools / ML frameworks
• Understanding of data handling, APIs, and system integration
• Exposure to manufacturing or industrial AI applications (preferred)
• Strong analytical thinking and problem-solving skills
• Good communication and stakeholder management skills

Disclaimer: This job posting & Location has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.