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 collabo

📌 Deep Learning Engineer Jr (Ciudad de México)
🏢 NEAR.HUB
📍 Ciudad de México