Are you passionate about the foundational elements of machine learning and eager to contribute to innovative AI solutions within a collaborative, supportive team environment? Trimble is seeking an enthusiastic early-career professional to join our Construction Management Solutions (CMS) group within the AECO sector in Chennai. This role offers an exceptional platform to accelerate your career in AI/ML engineering, working directly alongside seasoned data scientists and engineers to solve real-world industry challenges using cutting-edge technologies and modern cloud-scale data platforms.
Dedicated to the world’s tomorrow, Trimble is a technology company delivering solutions that enable our customers to work in new 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. For more information about Trimble (NASDAQ: TRMB), visit: www.trimble.com
About Our Division: Construction Management Solutions (CMS)
As an industry leader in construction software and ERP solutions, Trimble CMS empowers contractors worldwide. Our solutions connect essential business functions like accounting, project management, and field operations within a unified digital environment. Operating on Trimble Construction One (TC1), our collaborative cloud solutions enhance accountability, efficiency, and profitability for organizations across the globe.
This role provides a structured environment for developing core competencies in machine learning, data engineering, Databricks lakehouse operations, and data science under the direct mentorship of senior practitioners. Based in our Chennai office, you will gain hands-on exposure to real-world industrial data, contribute to the foundational stages of the ML project lifecycle, and learn modern MLOps and lakehouse practices like containerization, automated pipeline orchestration, and model monitoring. It is a premier platform for an ambitious technologist to translate academic theory and data skills into scalable, enterprise-grade AI products.
- Model Implementation & Experimentation: 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.
- Databricks & Data Engineering Pipelines: Build, maintain, and optimize data ingestion and transformation jobs on Databricks; support feature store curation, preprocessing, and feature engineering tasks to guarantee clean, high-quality training datasets.
- Code Quality & System Testing: Perform routine debugging, unit testing, and comprehensive code documentation across notebooks, scripts, and Delta Lake pipelines to ensure reproducibility and system reliability.
- Model Integration, MLflow & MLOps: Support the integration of trained ML models into existing enterprise applications using MLflow and standard containerized pipelines, tracking experiments, model versions, and post-deployment performance metrics.
- Cross-Functional Collaboration: Partner with senior data scientists, data engineers, and domain specialists to translate business requirements into clear, manageable ML tasks while adopting industry best practices.
- Education: 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).
- Foundational ML Literacy: Solid conceptual understanding of machine learning principles, evaluation metrics, statistical methods, and foundational deep learning concepts.
- Programming Proficiency: Strong coding skills in Python with practical experience in data manipulation and algorithm design using standard libraries such as NumPy, pandas, and scikit-learn.
- Databricks Operations & Data Handling: Working knowledge or hands-on academic/project experience operating within Databricks environments, including writing PySpark or Spark SQL queries, managing cluster runs, and handling datasets in Delta Lake tables.
- Data Structures & Problem Solving: Solid understanding of fundamental data structures, basic data modeling concepts, and software engineering discipline to solve well-defined analytical problems.
- MLflow & Databricks Ecosystem: Practical familiarity with MLflow for experiment tracking, model registry, or Databricks Workflows/Jobs automation.
- Deep Learning Frameworks: Exposure to standard deep learning toolkits such as PyTorch or TensorFlow.
- Cloud Platforms: Baseline understanding of enterprise cloud platforms (Microsoft Azure, AWS, or GCP) and their managed data services.
- Development Tooling: Hands-on experience with version control systems (Git/GitHub), basic Linux/Bash scripting, and container basics (Docker).
- Applied Portfolio: Academic portfolio, capstone projects, or strong GitHub repositories demonstrating end-to-end data pipelines or machine learning applications.
- Generative AI: Academic exposure to transformer architectures, Large Language Models (LLMs), or retrieval-augmented generation (RAG) concepts.
- Job Level :P2
- Department: Construction Management Solutions (CMS)
- Job Location: Chennai
- Job Type: Full-Time
At Trimble, we're not just a company that "does good"—we are a team dedicated to making a tangible, positive Real-World Impact. We build innovative solutions designed to solve the world's most critical challenges. 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.
- Collaborate with like-minded people: Our strong internal culture is a "hidden gem." You will work with a collaborative, supportive team that shares your purpose and fosters a genuine sense of belonging.
- Be an owner: Trimble thrives on individuals who take initiative and embrace ownership. You'll find an entrepreneurial spirit where success is often "self-authored," empowering proactive "doers."
- Enjoy true flexibility: 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.
Join a Values-Driven Team: Belong, Grow, Innovate.
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. Become part of a team where your contributions truly matter.
Candidate Privacy Notices by Country
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Skills Required
- Bachelor's degree in Computer Science, Mathematics, Engineering, Statistics, or a closely related quantitative field
- Solid understanding of machine learning principles and evaluation metrics
- Understanding of statistical methods and foundational deep learning concepts
- Strong programming skills in Python
- Practical experience with NumPy, pandas, and scikit-learn
- Understanding of fundamental data structures and basic data modeling concepts
- Ability to follow structured engineering methodologies to solve well-defined problems
- Familiarity with PyTorch or TensorFlow
- Understanding of AWS, Microsoft Azure, or Google Cloud Platform
- Experience with Git or GitHub
- Basic Linux or Bash scripting
- Academic or practical projects in machine learning or data science
- Exposure to generative AI, transformer architectures, or large language models
Trimble Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Trimble and has not been reviewed or approved by Trimble.
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Equity Value & Accessibility — An employee stock purchase plan with a discount and lookback, plus RSUs in some roles, makes equity participation accessible. The ESPP is often highlighted as a standout part of the package.
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Parental & Family Support — Paid parental leave in the U.S. is characterized as solid and well-regarded. This support is repeatedly positioned as a strength within the broader benefits offering.
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Leave & Time Off Breadth — PTO is described as generous, with some groups using flexible or unlimited models. Paid holidays and flexible time-off approaches contribute meaningfully to work-life support.
Trimble Insights
What We Do
Trimble is transforming the way the world works by delivering products and services that connect the physical and digital worlds. Core technologies in positioning, modeling, connectivity and data analytics enable customers to improve productivity, quality, safety and sustainability. From purpose built products to enterprise lifecycle solutions, Trimble software, hardware and services are transforming industries such as agriculture, construction, geospatial and transportation. For more information about Trimble (NASDAQ:TRMB), visit: www.trimble.com. Trimble products are used in over 141 countries around the world. Employees in more than 30 countries, coupled with a highly capable network of dealers and distribution partners serve and support customers worldwide. As the market leader in most of our businesses, we offer a compelling value proposition to our customers based on productivity, return on investment and environmental stewardship. Come position yourself with an innovative industry leader and position yourself for success.







