Deep Learning Engineer Jr

Company Description

NEAR.HUB, founded by seasoned experts with proven success across industries, is building the first nearshoring hub for deep learning in North America. We empower companies to train, evaluate, and deploy high-quality AI systems without requiring massive in-house data science teams. NEAR provides robust infrastructure for AI workflows, including compute, secure data pipelines, human-in-the-loop quality controls, and model training operations. Operating from Mexico with U.S.-grade compliance, NEAR enables teams to execute governed AI workloads quickly, efficiently, and cost-effectively, while staying close to their target markets.

Role Description

This is a full-time role based in the Mexico City Metropolitan Area for a Deep Learning Engineer Jr. The role involves supporting the design, development, and optimization of deep learning models and systems, assisting with data pipeline creation and maintenance, and helping implement machine learning solutions under the guidance of senior team members. The engineer will collaborate with multidisciplinary teams to support AI workflow quality, contribute to infrastructure and tooling improvements, and gain hands-on exposure to applied research and development projects.

Qualifications

• Bachelor's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field (in progress or recently completed accepted)
• Bilingual (Spanish & English)
• 0–2 years of experience in machine learning / deep learning; internships, academic projects, or personal projects count
• Working proficiency in Python and exposure to deep learning frameworks (PyTorch, TensorFlow)
• Foundational understanding of neural network architectures (CV, NLP, or time-series)
• Familiarity with data preprocessing, cleaning, or annotation workflows
• Basic understanding of model training, evaluation, and tuning concepts
• Exposure to cloud platforms (AWS or similar) is a plus, not required
• Familiarity with version control (Git) and collaborative development practices
• Solid grounding in mathematics and statistics fundamentals
• Strong eagerness to learn, high ownership mentality, and ability to thrive in a fast-paced, high-growth environment