Site Reliablity Engineer II

Job Summary

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.

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.

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.

Requirements

• Education: Bachelors degree in Computer Science, Mathematics, Engineering, Statistics, or a closely related quantitative field (Trimbles 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

• Practical familiarity with standard deep learning frameworks such as PyTorch or TensorFlow.
• 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

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.