Modeling & Simulation Machine Learning Engineer

972 Gillette Divsf Op Pvt Ltd; Hyderabad; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

Procter & Gamble in Hyderabad is seeking an M&S + ML Engineer to apply Modeling & Simulation and ML concepts to virtual qualification, surrogate models, and digital twins for fast manufacturing optimization. You will work with cross-functional R&D teams spanning mechanical, electrical, chemical disciplines, delivering data-driven insights and actionable recommendations.

The role emphasizes hands-on coding (Python/C++/R), big data analysis, and ML tool usage, with opportunities to influence

Qualifications

• Bachelor's degree in Engineering (Mechanical, Electrical, Chemical, or related fields).
• Hands-on coding with Python/C++/R and ML techniques.
• Experience in analysis of large data sets to derive insights.

Responsibilities

• Apply Modeling & Simulation (M&S) and ML to optimize high-speed manufacturing processes.
• Develop Digital Twins and surrogate models for virtual qualification and real-time optimization.
• Collaborate with cross-functional teams across Mechanical, Electrical, Chemical, and data infrastructure domains.

Skills

Python

C++

R

GitHub Copilot

Big data analytics

Communication skills

ML principles

Real-world manufacturing

Education

Engineering degree

Tools

GitHub Copilot

TensorFlow

Keras

Python tooling

Job description

Job Location

HYDERABAD OFFICE APAC PSC GDOP

P&G was founded over 180 years ago as a simple soap and candle company. Today, we're the world’s largest consumer goods company and home to iconic, trusted brands that make life a little bit easier in small but meaningful ways. We've spanned three centuries thanks to three simple ideas: leadership, innovation and citizenship. The insight, innovation and passion of hardworking teams have helped us grow into a global company that is governed responsibly and ethically, that is open and visible, and that supports good causes and protects the environment. This is a place where you can be proud to work and do something that matters.

Dedication from Us: You'll be at the core of breakthrough innovations, be given exciting assignments, lead initiatives, and take ownership and responsibility, in creative workspaces where new insights thrive. All the while, you'll receive outstanding training to help you become a leader in your field. It is not just about what you'll do, but how you'll feel: encouraged, valued, purposeful, challenged, heard, and inspired.

What we Offer

Continuous mentorship – you will collaborate with peers and receive both formal training as well as day-to-day mentoring from your manager dynamic and encouraging work environment– employees are at the centre, we value every individual and support initiative, promoting agility and work/life balance.

Job Description

Do you like to apply Modeling & Simulation (M&S) and Machine Learning (ML) concepts in the development and optimization of high-speed manufacturing processes (virtual manufacturing) in the consumer goods industry? Do you like to solve manufacturing challenges? How would you like to turn on your creative genius and problem-solving to develop Digital Twins for virtual qualification, optimization of current manufacturing processes and predicting future state and design next generation autonomous manufacturing systems that deliver superior quality products and packages for consumers? If this sounds like fun, we are looking for someone with your skills and abilities. As an M&S + ML Engineer, you will use modern data analysis and ML approaches in combination with engineering first principles in different fields such as Mechanical, Electrical, Chemical, metallurgical etc and physical data to help us to develop and understand complex manufacturing systems. This work is foundational to developing Digital Twins for virtual qualification and real time manufacturing and warehouse optimization. You will also develop fast surrogate models of complex engineering processes that will require the combination of Advanced M&S tools of Finite Element Analysis, Computational Fluid Dynamics, Production System Modeling with ML and physical data. You will be working with a highly talented cross-functional team of R&D scientists and engineers with expertise in R&D, manufacturing processes and data infrastructure. You will also Balance in-house development against turnkey solutions with best-in-class partners and own the build/buy recommendation and the technical due diligence behind it. This role has a unique ability to use the power of ML in combination with M&S to deliver insights and drive end to end thinking starting from raw material to manufacturing processes to final product as delivered to our consumers. Ultimately you will be turning insights derived from ML + M&S into actionable recommendations that drive business value.

Job Qualifications

• Strong foundation in any branch of Engineering (Mechanical, Chemical, Material Science, Electrical, Metallurgical, Aerospace etc)
• Hands on coding experience and mastery in one or more languages (Python, R, C++), knowledge in either Python or R is required.
• Experience using AI-assisted software development tools, such as GitHub Copilot, to develop, test, and document engineering applications
• Demonstrated expertise in analysis of large data sets(“big data”) to deliver actionable insights from data
• Demonstrated expertise in combining first principles concepts/science in any field of engineering with advanced ML approaches to develop surrogate models
• Prior experience and/or strong interest in “real world” problems. This includes knowledge of manufacturing processes and data infrastructure.
• Strong communication skills. The candidate is the link between “incomprehensible” data and engineers who need to act on new insights. This requires both, listening skills to understand the problem to help with, as well as ability to build trust, explain context, and potential solutions.
• Our manufacturing platforms are running on Integrated Control Systems. Interest or experience in these will also be a plus

Preferred Specialties / Area of Research

• ML, including Deep Learning
• Engineering background with ML specialization /or research publications
• Data Mining (such as data preparation, regression, classification tools, SVM)
• Optimization (global, local, stochastic methods)
• Model Reduction, Dimensionality Reduction
• Data bases and data processing

Preferred Experience with Analytical Tools / Applications

• Unix/Linux
• Scientific Computing: R, Python, C++, Java, Scala
• Deep Learning frameworks: Keras, TensorFlow
• High-Performance Parallel and Distributing Computing (CPU and GPU)
• Data Visualization
• Data Management Systems

About us

We produce globally recognized brands, and we grow the best business leaders in the industry. With a portfolio of trusted brands as diverse as ours, it is paramount our leaders are able to lead with courage the vast array of brands, categories and functions. We serve consumers around the world with one of the strongest portfolios of trusted, quality, leadership brands, including Always, Ariel, Gillette, Head & Shoulders, Herbal Essences, Oral-B, Pampers, Pantene, Tampax and more. Our community includes operations in approximately 70 countries worldwide. Visit http://www.pg.com to know more.

We are an equal opportunity employer and value diversity at our company.

We do not discriminate against individuals on the basis of race, color, gender, age, national origin, religion, sexual orientation, gender identity or expression, marital status, citizenship, disability, HIV/AIDS status, or any other legally protected factor.

All the available job opportunities are posted either on our website - pgcareers.com, or on our official social media pages, for the convenience of prospective candidates, and do not require them to pay any kind of fees towards their application.

Job Schedule Full time

Job Number R000161635

Job Segmentation Entry Level

P&G was founded over 180 years ago as a simple soap and candle company. Today, we’re the world’s largest consumer goods company and home to iconic, trusted brands that make life a little bit easier in small but meaningful ways. We’ve spanned three centuries thanks to three simple ideas: leadership, innovation and citizenship. The insight, innovation and passion of talented teams has helped us grow into a global company that is governed responsibly and ethically, that is open and transparent, and that supports good causes and protects the environment. This is a place where you can be proud to work and do something that matters.