AI/ML Engineer

Job Title: AI/Machine Learning Engineer

Job Location: Mexicali, Mexico

Our Department: Trimble Construction

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

About the Role

This role offers an exciting opportunity to begin a career in AI/ML engineering, working within a dynamic team that values learning and growth. The successful candidate will contribute to the early stages of AI/ML project lifecycles, gaining hands-on experience with real-world data and cutting-edge technologies. This position provides a structured environment for developing core competencies in machine learning and data science, with direct guidance from experienced professionals.

What You Will Do

• 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.

• Trimble’s Inclusiveness Commitment:

We believe in celebrating our differences. That is why our diversity is our strength. To us, that means actively participating in opportunities to be inclusive. Diversity, Equity, and Inclusion have guided our current success while also moving our desire to improve. We actively seek to add members to our community who represent our customers and the places we live and work. We have programs in place to make sure our people are seen, heard, and welcomed and most importantly that they know they belong, no matter who they are or where they are coming from.

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