Site Reliablity Engineer

Job Title: Site Reliablity Engineer Company: Trimble Job Category: Data Science Roles & Responsibilities: 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 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. 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. * Job Level :P1 * Department: Construction Management Solutions (CMS) * Job Location: Chennai * Job Type: Full\-Time * 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. Work Location: Tamil Nadu, India Availability: Full time

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. Key Skills: Data Science Salary: Not disclosed