AI/ML Python Engineer – Data Pipelines & AWS

ITJ; Tijuana; Vor Ort; MXN 600.000 - 1.000.000; Vollzeit

Benefits dieser Stelle

100% payroll scheme

20 days - Christmas bonus

12 days of vacation on the first year

8% saving fund (cap)

11% of food coupons (cap)

Employer-paid medical, dental, vision,

life insurance; medical insurance for

Gym bonus support

Education reimbursement (Up to MXN 54,

000 per year)

30% vacation bonus

10 days paternity leave

Work at Home Bonus for officeEquipment

Zusammenfassung

ITJ in Tijuana seeks an experienced ML/AI engineer to develop, enhance, and maintain high-quality software and ML solutions. You will collaborate with cross-functional teams and contribute to production-grade AI systems in a fast-paced environment.

Responsibilities include implementing MLOps, building data pipelines, and supporting the full ML lifecycle from experimentation to monitoring. You will work closely with bioinformatics and data science teams while aligning with regulatory and security

Qualifikationen

• Experience developing software with Python in production.
• Experience implementing ML engineering and MLOps practices.
• Experience building data pipelines and working with AI/ML models.

Aufgaben

• Develop, enhance, and maintain AI/ML software solutions.
• Collaborate with data science and bioinformatics teams to productionize research.
• Support ML lifecycle including deployment and monitoring.
• Build and maintain data pipelines with data quality and traceability.
• Implement security and regulatory documentation.

Kenntnisse

Python

AI/ML

MLOps

Cloud computing

Tools

AWS

CI/CD

Data pipelines

Jobbeschreibung

ITJ in Tijuana seeks an experienced ML/AI engineer to develop, enhance, and maintain high-quality software and ML solutions. You will collaborate with cross-functional teams and contribute to production-grade AI systems in a fast-paced environment.

Responsibilities include implementing MLOps, building data pipelines, and supporting the full ML lifecycle from experimentation to monitoring. You will work closely with bioinformatics and data science teams while aligning with regulatory and security