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.

📌 Python Developer (Tijuana)
🏢 ITJ
📍 Tijuana