Launch Your AI/ML Career as a 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 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.
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, 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.
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.
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.
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…