Modeling - Simulation Machine Learning Engineer

Procter & Gamble (P&G) is a global consumer goods leader with a presence in more than 180 countries. In India, P&G has built a reputation for innovation, sustainability, and a strong focus on talent development. The Hyderabad office serves as a hub for advanced analytics, research, and product development, supporting the company's diverse portfolio ranging from personal care to household products.

P&G’s culture emphasizes leadership, collaboration, and continuous learning, offering fresh graduates a platform to work on real‑world problems that impact millions of consumers worldwide.

The role of Modeling – Simulation Machine Learning Engineer is designed for fresh talent eager to apply cutting‑edge machine learning techniques to solve complex simulation challenges. As a member of the Advanced Analytics team, you will work closely with product engineers, data scientists, and business stakeholders to develop predictive models, run large‑scale simulations, and translate insights into actionable recommendations. This position provides exposure to end‑to‑end ML pipelines, from data ingestion and preprocessing to model deployment and monitoring, within a fast‑paced, innovation‑driven environment.

Key Responsibilities

• Design, develop, and validate machine learning models for product performance simulation.
• Build and maintain data pipelines for large‑scale sensor and experimental data.
• Conduct statistical analysis and hypothesis testing to support product decisions.
• Collaborate with cross‑functional teams to integrate simulation outputs into business workflows.
• Optimize algorithms for speed and scalability on cloud and on‑premise infrastructure.
• Document model architecture, assumptions, and performance metrics.
• Participate in code reviews and contribute to best‑practice guidelines.
• Stay updated with the latest research in ML, simulation, and optimization techniques.
• Assist in preparing technical presentations for senior leadership.
• Mentor interns and junior team members as the team grows.

Tech Stack: Python, R, TensorFlow/PyTorch, Scikit‑learn, SQL, Spark, Docker, Kubernetes, AWS/GCP, MATLAB/Simulink, Git.

Growth Path: Starting as an Engineer, you can progress to Senior Engineer, Lead Analyst, and eventually to Manager or Principal Scientist, with opportunities to lead strategic projects across P&G’s global network.

Why Join P&G? You will work on high‑impact projects that directly influence product innovation, receive world‑class mentorship, and benefit from a culture that rewards curiosity and initiative. The company’s commitment to diversity, sustainability, and employee well‑being makes it an ideal launchpad for a rewarding engineering career.