Site Reliablity Engineer II
Trimble Inc.
About the Role
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 Trimble
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.
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.
Key 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 & Tech Stack
- 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.
- Foundational ML Literacy: Solid conceptual understanding of machine learning principles, evaluation metrics, statistical methods, and foundational deep learning concepts.
- Bonus Points:
- 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).
Qualifications
- Education: Bachelor's degree in Computer Science, Mathematics, Engineering, Statistics, or a closely related quantitative field.
Logistics
- Location: Chennai, India
- Department: Construction Management Solutions (CMS)
- Role Level: P2
- Job Type: Full-Time