Site Reliablity Engineer II

Overview

Early-career Machine Learning Engineer role within Trimble's Construction Management Solutions (CMS) group in Chennai, working alongside senior data scientists and engineers on AI/ML solutions for the AECO sector.

What you'll do

• Assist in the development, testing, and deployment of foundational machine learning algorithms and models under direct supervision, with opportunities to explore advanced deep learning architectures.
• Contribute to data collection pipelines, feature engineering, and data cleaning tasks to ensure high-quality training sets tailored to industry use cases.
• Perform routine debugging, unit testing, and comprehensive code documentation to ensure reliability, reproducibility, and high software standards.
• Support the integration of trained ML models into existing enterprise applications, learning foundational MLOps workflows including containerization, deployment pipelines, and post-deployment performance monitoring.
• Partner with senior engineers and data scientists to translate business requirements into clear, manageable ML tasks while adopting industry best practices.

What you'll need

• Bachelor's degree in Computer Science, Mathematics, Engineering, Statistics, or a closely related quantitative field (Trimble's Professional ladder typically requires four or more years of formal education).
• Solid conceptual understanding of machine learning principles, evaluation metrics, statistical methods, and foundational deep learning concepts.
• Strong coding skills in Python with practical experience in data manipulation and algorithm design using standard libraries such as NumPy, pandas, and scikit-learn.
• Solid understanding of fundamental data structures and basic data modeling concepts, with the ability to follow structured engineering methodologies to solve well-defined problems.

Nice to have

• Practical familiarity with standard deep learning frameworks such as PyTorch or TensorFlow.
• Baseline understanding of cloud environments (AWS, Microsoft Azure, or GCP).
• Hands-on experience with version control systems (Git/GitHub) and basic Linux/Bash scripting.
• A strong academic portfolio or GitHub profile showcasing practical ML/data science projects.
• Academic exposure to generative AI concepts, transformer architectures, or Large Language Models (LLMs).

Details

• Location: Chennai, India, based in the Chennai office.
• Department: Construction Management Solutions (CMS).
• Role Level: P2.
• Job Type: Full-Time.