senior AI architect

ESSIGQ; Santiago de Querétaro; Presencial; MXN 400,000 - 600,000; Jornada completa

Descripción de la vacante

A technology company in Santiago de Querétaro is seeking a leader for their AI development team. The role involves designing and optimizing artificial intelligence models, integrating solutions, and collaborating with various teams. Candidates should hold a Bachelor’s degree in a related field and have significant experience in programming, specifically with Python and RESTful APIs.

Formación

• Proficient in Python Programming.
• Proficient in RESTful APIs design and implementation.
• Very proactive and enthusiastic about technology.

Responsabilidades

• Lead a team of AI developers and ensure high performances.
• Design, develop, and optimize AI models.
• Integrate AI solutions into existing systems.

Conocimientos

Python Programming

Designing RESTful APIs

Essentials of C#

Intermediate to advanced English

Version Control with Git

Experience with Agile methodology

Educación

Bachelor’s degree in Computer Science or related fields

Descripción del empleo

Qualifications

• Bachelor’s degree in Computer Science, Electronics, Mechatronics, Applied Mathematics, or related fields.
• Proficient in Python Programming
• Proficient in RESTful APIs: Designing and implementing RESTful APIs for communication between front-end and back-end (e.g. FastAPI)
• Essentials of C#
• Very proactive, enthusiastic about technology, good communicator.
• Intermediate to advanced English (technical reading and communication).
• Version Control: Proficiency with Git and platforms like GitHub, GitLab, Bitbucket or Dev Ops.
• Experience of at least 5 years in the field.
• Bonus skills/experience:
• Experience with Agile methodology.
• Process documentation and testing.
• Leadership of a group of developers.

Responsibilities

• Leader a team of AI developers and ensure high performances.
• Design, develop, and optimize artificial intelligence models applied to different disciplines.
• Integrate AI solutions into existing systems, ensuring scalability and performance.
• Analyze data to generate insights that support decision-making.
• Collaborate with multidisciplinary teams to propose technological improvements and innovations.
• Document processes, tests and results in a clear and structured way.