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AI Engineering and Research Intern
MXN 10,000-16,000/year
Indeed
Full-time
Onsite
No experience limit
No degree limit
C. Cuauhtémoc 14, San Jerónimo, Xochimilco, 16420 Ciudad de México, CDMX, Mexico
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Description

**Position:** AI Engineering and Research Intern. **Company:** MAYia, Artificial Intelligence. **Work Location:** San Jerónimo, CDMX. On-site. Monday to Friday from 9:00 am to 6:00 pm (with 1 hour lunch). **At MAYia, we don't just develop technology; we forge the future with code.** We are an elite engineering lab focused on solving complex problems through cutting-edge Artificial Intelligence. We are looking for a software architect, a passionate builder who can translate the power of our AI models into robust, scalable, and interactive applications. **Job Description:** As an AI Intern at MAYIA, you won't be an observer—you'll be a creator. You will fully immerse yourself in the life cycle of our most innovative projects, working side by side with our engineers and data scientists. This is a unique opportunity to apply your theoretical knowledge to real-world challenges and leave your mark on systems spanning multiple domains of artificial intelligence, from language and vision to predictive analytics. **Key Responsibilities:** We are looking for curious and proactive minds to collaborate on: ·**Large Language Models (LLMs):** Assist in training, fine\-tuning, and evaluating LLMs. You will research and apply techniques such as Retrieval\-Augmented Generation (RAG) to create more powerful and accurate conversation and text generation systems. ·**Computer Vision:** Participate in developing models capable of interpreting the visual world. You will work on projects that may include object detection and segmentation, image recognition, or real-time video analysis. ·**Data Analysis and Machine Learning:** Apply Machine Learning algorithms to extract valuable insights from large volumes of data. You will contribute to building predictive models and recommendation systems. ·**Speech Recognition and Processing:** Support the implementation of systems that can transcribe, understand, and respond to voice commands, improving human\-machine interaction. ·**Research and Experimentation:** Stay up to date with the latest papers and advancements in the field of AI, proposing and running experiments to test new architectures and techniques that could be integrated into our products. **Who are we looking for?:** ·**Education:** Active student in the final semesters or recent graduate in Computer Systems Engineering, Computer Science, Mechatronics, Applied Mathematics, Actuarial Science, or related fields. ·Strong Foundations: Excellent knowledge of **algorithms, data structures, probability, and statistics**. Theoretical understanding of Machine Learning and Deep Learning is essential. ·**Technical Skills:** \-Fluent programming in **Python.** \-Experience (academic or personal) with Deep Learning frameworks such as **PyTorch or TensorFlow.** Familiarity with data manipulation libraries like **Pandas and NumPy.** \-Knowledge of version control with **Git.** ·**Profile:** A person with immense intellectual curiosity, autonomous, proactive, and with an exceptional ability to learn quickly. **What we offer?:** ·**Real Impact:** You will work on meaningful projects, not secondary tasks. ·**Elite Mentorship:** Receive guidance and direct supervision from industry experts. ·**Innovation Culture:** An environment designed for experimentation, rapid failure, and continuous learning. ·**Financial Support:** Competitive monthly scholarship. ·**Professional Growth:** Real opportunities to join our team full-time after graduation. ·**Salary** of $10,000 Net for **part-time interns** and $16,000 Net for **full-time recent graduates.** Apply today and become part of **MAYia**, Artificial Intelligence made in Mexico! Job type: Full-time, Part-time Pay: $10,000\.00 \- $16,000\.00 per month Scheduled hours: 9 per week Benefits: * Tuition assistance * Free parking * Option for indefinite contract Work Location: On-site job

Source:  indeed View original post
Juan García
Indeed · HR

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