Junior Deep Learning Engineer

About the role

We are looking for a Junior Deep Learning Engineer to join our nearshoring AI hub in Mexico City. The position is full‑time and offers the chance to work on real‑world deep‑learning projects while collaborating with senior researchers and engineers.

Key responsibilities

• Assist in designing, developing, and optimizing deep‑learning models and systems.
• Create and maintain data pipelines and support data preprocessing, cleaning, and annotation workflows.
• Implement machine‑learning solutions under the guidance of senior team members.
• Collaborate with multidisciplinary teams to ensure AI workflow quality and governance.
• Contribute to improvements of infrastructure, tooling, and operational processes.
• Gain hands‑on experience with applied research and development projects.

Required profile

• Bachelor’s degree in Computer Science, AI, Machine Learning or a related field (in progress or recently completed accepted).
• Bilingual in Spanish and English.
• 0–2 years of experience in machine‑learning or deep‑learning through internships, academic or personal projects.
• Strong foundation in mathematics and statistics.
• High motivation to learn, ownership mentality and ability to thrive in a fast‑paced, high‑growth environment.

Required skills

• Python programming.
• Experience with deep‑learning frameworks such as PyTorch or TensorFlow.
• Familiarity with version control using Git.
• Basic understanding of neural‑network architectures (computer vision, NLP, or time‑series).
• Knowledge of model training, evaluation and tuning concepts.
• Exposure to cloud platforms (e.g., AWS) is a plus.