Accelerate Enterprise Intelligence as an AI/ML Engineer (P1)
Are you passionate about the foundational elements of machine learning and eager to contribute to innovative AI solutions within a collaborative, growth-oriented team environment Trimble is seeking an enthusiastic AI/ML Engineer (P1) to join our Construction Management Solutions (CMS) team. This role offers an exceptional runway to accelerate your career in AI/ML engineering, working directly alongside seasoned data scientists and principal engineers to transform complex real-world data into actionable, production-grade enterprise tools.
Dedicated to the world's tomorrow, Trimble is a technology company delivering solutions that enable our customers to work in recent ways to measure, build, grow and move goods for a better quality of life. Core technologies in positioning, modeling, connectivity and data analytics connect the digital and physical worlds to improve productivity, quality, safety, transparency and sustainability. From purpose-built products and enterprise lifecycle solutions to industry cloud services, Trimble is transforming critical industries such as construction, geospatial, agriculture and transportation to power an interconnected world of work. Construction Management Solutions (CMS)
As an industry leader in construction software and ERP solutions, Trimble CMS empowers contractors worldwide. Our solutions seamlessly connect the office, team, and jobsite by integrating essential business functions like accounting, project management, and field operations. Operating on the Trimble Construction One (TC1) connected ecosystem, our collaborative cloud platforms enhance transparency, efficiency, and profitability for organizations of all sizes across the globe.
This role provides a structured, high-support environment designed to build deep competencies in applied machine learning, data engineering, and modern MLOps under direct mentorship. Working within our CMS engineering organization, you will gain hands-on exposure to rich industrial datasets, participate across the full AI project lifecycle, and contribute to cutting-edge model integration. Whether you are stepping in as an Associate Engineer (P1) ,



you will enjoy real technical ownership, contributing to software tools that drive physical-world operations globally.
Assist in developing, implementing, and fine-tuning machine learning algorithms and foundational models, with direct exposure to advanced deep learning paradigms.
Data Engineering & Preprocessing: Own data collection, sanitization, exploratory analysis, and feature engineering tasks to ensure data quality, consistency, and industry-specific relevance.
Testing, Verification & Code Health: Execute routine testing, debugging, and comprehensive documentation of ML codebases and pipelines to ensure reproducible, high-performance systems.
ML Integration & Operationalization: Support the integration of trained models into enterprise-grade applications, adhering to standard architectural patterns while learning essential MLOps practices such as containerization, artifact tracking, and performance monitoring.
Partner with senior engineers and domain specialists to translate ambiguous business requirements into well-defined machine learning tasks and actionable delivery milestones.
Essential Skills & Experience

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).
Core ML Literacy: Strong conceptual grounding in machine learning theory, evaluation metrics, statistical techniques, and foundational deep learning concepts.
Programming Proficiency: Strong coding skills in Python , with practical experience manipulating datasets and building algorithms using standard data science libraries including NumPy , pandas , and scikit-learn .
Computer Science Foundations: Solid grasp of fundamental data structures,



basic data modeling principles, and software engineering practices necessary for clean, modular code development.
Proven ability to follow structured engineering methodologies to troubleshoot issues of defined scope and arrive at clear, practical solutions.
Bonus Points For:

Cloud Computing Platforms: Basic foundational understanding of cloud environments ( AWS , Microsoft Azure , or GCP ) and their AI/ML service offerings.
Development Workflow Tools: Experience utilizing version control systems ( Git ) for collaborative branch-based development, alongside basic Linux CLI and Bash scripting comfort.
Early evidence of production-oriented ML work demonstrated through capstone projects, research publications, or active GitHub repositories.
Academic exposure to, or experimentation with, Generative AI models, transformer architectures, and Large Language Models (LLMs).
Construction Management Solutions (CMS)
Job Type: Full-Time
From construction sites to transportation hubs, our work tangibly improves how people live, build, move, and grow.
You'll work on projects that truly matter: Our purpose-driven culture means you'll be helping to build and deliver solutions that make work faster, safer, and more sustainable for millions of people worldwide.
We offer flexible work arrangements, which are a significant driver for employees joining and staying with us.

How to Apply: Please submit an online application for this position by clicking on one of the Apply buttons located in this posting.

At Trimble, our core values of Belong, Grow, and Innovate aren't just words-they're the foundation of our culture. We foster an environment where you are seen, heard, and valued (Belong) where you have an opportunity to build a career and drive our collective growth (Grow) and where your innovative ideas shape the future (Innovate). We believe in empowering local teams to create impactful strategies, ensuring our global vision resonates with every individual. If you need assistance or would like to request an accommodation in connection with the application process, please contact .

📌 Construction & Engineering (Chennai)
🏢 Trimble
📍 Chennai