Site Reliablity Engineer

Trimble; Chennai; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

Trimble is seeking an AI/ML Engineer (P1) to join our Construction Management Solutions team in Chennai. You will work alongside senior data scientists and engineers to turn real-world data into production-grade enterprise tools, focusing on ML model development and scalable data pipelines.

This role provides structured mentorship, exposure to full AI project lifecycle, and opportunities to contribute across data engineering, model evaluation, and MLOps practices in a growth-oriented environment.

Qualifications

• Bachelor's degree in CS, math, engineering or statistics.
• Strong grounding in ML theory, evaluation metrics and foundational DL concepts.
• Strong Python coding with NumPy, pandas and scikit-learn.
• Solid CS foundations: data structures and software practices.
• Analytical problem-solving skills to troubleshoot defined scope.

Responsibilities

• Algorithm & Model Development: 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.
• Cross-Functional Collaboration: Partner with senior engineers and domain specialists to translate ambiguous business requirements into well‑defined machine‑learning tasks and actionable delivery milestones.

Skills

ML theory

Python programming

Data preprocessing

Analytical problem solving

Statistical methods

Education

Bachelor's degree in Computer Science, Mathematics, Engineering, Statistics

Tools

NumPy

Pandas

Scikit-learn

Git

Linux CLI

PyTorch

TensorFlow

Job description

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.

About Us:

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 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.

Trimble is a global technology company that connects the physical and digital worlds, transforming the ways work gets done. With relentless innovation in precise positioning, modeling and data analytics, Trimble enables essential industries including construction, geospatial and transportation. Whether it's helping customers build and maintain infrastructure, design and construct buildings, optimize global supply chains or map the world, Trimble is at the forefront, driving productivity and progress.

For more information about Trimble (NASDAQ: TRMB), visit: www.trimble.com.

What Makes This Role Great:

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.

Key Exciting Responsibilities

• Algorithm & Model Development: 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.
• Cross-Functional Collaboration: 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

• 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).
• 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.
• Analytical Problem Solving: Proven ability to follow structured engineering methodologies to troubleshoot issues of defined scope and arrive at clear, practical solutions.

Bonus Points For:

• Deep Learning Frameworks: Hands‑on familiarity with modern deep learning toolkits such as PyTorch or TensorFlow.
• 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.
• Applied Portfolio: Early evidence of production‑oriented ML work demonstrated through capstone projects, research publications, or active GitHub repositories.
• Generative AI Awareness: Academic exposure to, or experimentation with, Generative AI models, transformer architectures, and Large Language Models (LLMs).

Logistics:

Job Level :P1 Department: Construction Management Solutions (CMS) Job Location: Chennai Job Type: Full-Time

Why You’ll Love Working With Us At Trimble

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.

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).

At Trimble, we are committed to fostering a diverse, inclusive, and equitable workplace where everyone can thrive. Guided by our core values—Belong, Innovate, and Grow—we embrace and celebrate differences, knowing they make us stronger and more innovative.

We are proud to be an equal opportunity employer, welcoming individuals of all backgrounds and advancing opportunities while embracing race, color, gender identity, sexual orientation, religion, disability, veteran status, or any other protected and diverse characteristic.

We are committed to offering our candidates and employees with disabilities or sincerely held religious beliefs the ability to seek reasonable accommodations in accordance with applicable law and/or where it would not constitute undue hardship for Trimble. For more, please see Trimble’s Code of Business Conduct and Ethics at https://investor.trimble.com, under “Corporate Governance.” Our mission to transform the way the world works starts with transforming how we work together. By actively listening, asking questions, and taking intentional actions, we cultivate a culture that provides equitable opportunities for everyone to contribute and grow.