Site Reliablity Engineer II

Trimble Uk; India; On-site; INR 600,000 - 900,000; Full time

Job summary

Trimble in Chennai is seeking an early-career Machine Learning Engineer to join our CMS team. You will contribute to ML foundations, data pipelines, and MLOps, gaining exposure to real-world industrial data.

You will learn from senior practitioners, work on scalable AI products, and apply modern tooling while collaborating across roles to translate business needs into concrete ML tasks.

Qualifications

• Solid conceptual understanding of machine learning principles and evaluation metrics.
• Proficiency in Python with data manipulation and algorithm design using common libraries.
• Strong foundation in data structures and structured engineering methods.
• Ability to work under supervision and translate business requirements into ML tasks.

Responsibilities

• Model Implementation & Experimentation: Assist in development, testing, and deployment of foundational ML algorithms under supervision.
• Data Engineering & Preprocessing: Contribute to data collection pipelines and feature engineering for high-quality training data.
• Code Quality & System Testing: Perform debugging, unit testing, and documentation to ensure reliability.
• Model Integration & MLOps: Support integration of models into enterprise apps, learn containerization and deployment pipelines.
• Cross-Functional Collaboration: Work with engineers and data scientists to translate requirements into ML tasks.

Skills

Python programming

ML fundamentals

Data structures

Problem solving

Education

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

Tools

NumPy

pandas

scikit-learn

Job description

Launch Your AI/ML Career as an Machine Learning Engineer

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 entry point to build a career in AI/ML engineering, working directly alongside seasoned data scientists and engineers to solve real-world industry challenges using cutting-edge technologies.

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 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.

What Makes This Role Great:

This role provides a structured environment for developing core competencies in machine learning, data engineering, 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 practices like containerization and automated monitoring. It is a premier platform for an ambitious technologist to translate academic theory into scalable, enterprise-grade AI products.

Key Exciting Responsibilities

• 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.


• Data Engineering & Preprocessing: Contribute to data collection pipelines, feature engineering, and data cleaning tasks to ensure high-quality training sets tailored to industry use cases.


• Code Quality & System Testing: Perform routine debugging, unit testing, and comprehensive code documentation to ensure reliability, reproducibility, and high software standards.


• Model Integration & MLOps: Support the integration of trained ML models into existing enterprise applications, learning foundational MLOps workflows including containerization, deployment pipelines, and post-deployment performance monitoring.


• Cross-Functional Collaboration: Partner with senior engineers and data scientists to translate business requirements into clear, manageable ML tasks while adopting industry best practices.

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).


• 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.


• Data Structures & Problem Solving: Solid understanding of fundamental data structures and basic data modeling concepts, with the ability to follow structured engineering methodologies to solve well-defined problems.

Bonus Points For:

• 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).

Logistics:

• Location: Chennai, India


• Department: Construction Management Solutions (CMS)


• Role Level: P2


• Job Type: Full-Time

Why You'll Love Working With Us

At Trimble, we’re not just a company that "does good"-we