Python Developer

ITJ; Tijuana; Presencial; MXN 600.000 - 1.000.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

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

Descripción de la vacante

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

Formación

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

Responsabilidades

• 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.

Conocimientos

Python

AI/ML

MLOps

Cloud computing

Herramientas

AWS

CI/CD

Data pipelines

Descripción del empleo

We offer the following benefits:

• 100% payroll scheme
• 20 days - Christmas bonus
• 12 days of vacation on the first year
• 8% (cap) saving fund
• 11% (cap) of food coupons
• Employer-paid medical, dental, vision, and life insurance; medical insurance for employees, Gym bonus support
• Education reimbursement (Up to MXN 54,000 per year)
• 30% vacation bonus
• 10 days paternity leave
• Work at Home Bonus for office equipment 1-time MXN 5,000

Essential Duties and Responsibilities

• Develop, enhance, and maintain high-quality software applications and services using Python.
• Partner with algorithm, bioinformatics, and data science teams to convert research algorithms and prototypes into production-ready solutions.
• Contribute to new initiatives involving AI/ML technologies.
• Support the full ML lifecycle, including experimentation, algorithm validation, deployment, inference, monitoring, and ongoing maintenance.
• Build and maintain reliable data pipelines, ensuring data quality, traceability, and integrity throughout processing workflows.
• Implement ML engineering and MLOps practices, including model versioning, automated testing, CI/CD, deployment, monitoring, and reproducibility.
• Evaluate and integrate appropriate AI/ML technologies, including traditional ML models, computer vision models, Vision Transformers, LLMs, RAG architectures, and agentic capabilities when applicable.
• Optimize AI/ML solutions for accuracy, latency, scalability, reliability, and operational cost.
• Create and maintain technical and regulatory documentation supporting software, algorithms, workflows, and production systems.
• Ensure software and pipeline implementations support traceability, reproducibility, verification, and validation requirements appropriate for regulated environments.
• Implement software engineering best practices, including software design, peer code reviews, unit testing, integration testing, and continuous integration.
• Apply knowledge of system architecture, software design, and cloud computing to develop scalable and maintainable solutions.
• Design and implement appropriate system security and data protection practices. .
• Develop and maintain cloud-native solutions, particularly within AWS.
• Leverage AI-assisted development tools to improve engineering productivity, software quality, and development workflows.
• Troubleshoot and resolve complex technical issues across applications, pipelines, models, and cloud infrastructure.
• Collaborate closely with software engineers, bioinformaticians, data scientists, scientists, quality engineers, and other cross-functional stakeholders. .
• Document requirements, technical specifications, architectures, workflows, and system designs.
• Create diagrams, flowcharts, and other technical documentation as needed.
• Provide technical guidance and support to other engineers when appropriate.
• Clearly articulate technical designs, trade-offs, risks, and recommendations to both technical and non-technical stakeholders.
• Stay current with emerging technologies and best practices in Python, bioinformatics, AI/ML, computer vision, MLOps, and cloud engineering.
• Uphold company values through accountability, innovation, integrity, quality, and teamwork.