AI Engineer

Trimble; Mexicali; Presencial; MXN 933,000 - 1,307,000; Jornada completa

Descripción de la vacante

A leading technology company in Mexicali is seeking an AI Engineer to assist in developing and implementing machine learning algorithms. The role requires a Bachelor's degree in a quantitative field and proficiency in programming languages such as Python. The ideal candidate will work collaboratively in a team environment, contributing to data collection and model integration work.

Formación

• Bachelor's degree in Computer Science or a quantitative field required.
• Conceptual knowledge of machine learning theories and practices.
• Proficiency in at least one programming language focused on data.

Responsabilidades

• Assist in developing and implementing machine learning algorithms.
• Contribute to data collection and preprocessing for AI projects.
• Support integration of ML models into existing applications.

Conocimientos

Machine learning theories

Python programming

Data manipulation

Basic algorithm implementation

Educación

Bachelor's degree in Computer Science or related field

Herramientas

NumPy

pandas

scikit-learn

Descripción del empleo

Overview

Your Title: AI Engineer (P2)

Job Location: Mexicali, Mexico

Our Business Segment: Architecture, Engineering, Construction and Owner Segment (AECO)

Our Department: Construction Management Solutions (CMS)

Are you passionate about the foundational elements of machine learning and eager to contribute to innovative AI solutions within a supportive team environment?

Responsibilities

• Assist in the development and implementation of basic machine learning algorithms and models under direct supervision, with opportunities to learn about deep learning concepts.
• Contribute to data collection, preprocessing, and feature engineering tasks for AI/ML projects, ensuring data readiness and beginning to understand data coverage and quality for industry use cases.
• Perform routine testing, debugging, and documentation of ML code and systems to maintain quality and functionality.
• Support the integration of ML models into existing applications, ensuring adherence to established procedures and guidelines, and learning basic MLOps practices like containerization and monitoring.
• Collaborate with senior engineers and data scientists, translating ambiguous needs into clear, initial ML tasks and learning best practices in ML development.

What Skills & Experience You Should Bring

• Bachelor's degree in Computer Science, Math, Engineering, Statistics, or a closely related quantitative field. Trimble's Professional ladder typically requires four or more years of formal education.
• Conceptual knowledge of machine learning theories, practices, and procedures, demonstrating an understanding of core ML concepts and foundational deep learning concepts.
• Proficiency in at least one relevant programming language (e.g., Python) with a focus on data manipulation and basic algorithm implementation, and familiarity with libraries like NumPy, pandas, or scikit-learn.
• Understanding of fundamental data structures and basic data modeling concepts, crucial for efficient code development.
• Ability to follow standard practices and procedures in analyzing problems of limited scope, with a focus on obtaining readily available answers.

What Skills & Experience You Could Bring

• Familiarity with a common machine learning framework (e.g., PyTorch, TensorFlow).
• Basic understanding of cloud computing platforms (e.g., AWS, Azure, GCP) and their services.
• Relevant coursework or academic projects in machine learning, artificial intelligence, or data science, showcasing practical application.
• Experience with version control systems (e.g., Git) for collaborative code management.
• Basic experience with Linux and bash scripting.
• Early evidence of production-ready ML work through academic projects or strong GitHub portfolios.
• Exposure to concepts of generative AI or large language models (LLMs).

About Trimble Construction

Trimble is developing technology, software and services that drive the digital transformation of construction with solutions that span the entire architecture, engineering and construction (AEC) industry. Empowering teams across the construction lifecycle, Trimble's innovative approach improves coordination and collaboration between stakeholders, teams, phases and processes. Trimble's Connected Construction strategy gives users control of their operations with best-in-class solutions and a common data environment. By automating work and transforming workflows, Trimble is enabling construction professionals to improve productivity, quality, transparency, safety, sustainability and deliver each project with confidence. For more information, visit: construction.trimble.com

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. 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

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