Senior Back-End/MLOps Engineer – Real-Estate

This is a fully remote position, open to applicants in Mexico.

📋 Description

• Design and maintain full-stack functionalities across marketplace offerings, encompassing search, ranking, and user-centric experiences.

• Develop and enhance MLOps infrastructure, which includes model deployment pipelines, feature stores, real-time data pipelines, and monitoring systems.

• Collaborate with data scientists and engineers to reliably deploy machine learning models at scale.

• Produce clean, well-tested, and maintainable code while engaging in code reviews.

• Participate in technical planning and decompose complex challenges into actionable tasks.

• Diagnose and address performance, reliability, and scalability challenges within existing systems.

• Work with data and feature pipelines, SQL, and experimentation/A/B testing frameworks.

• Communicate progress, identify obstacles, and collaborate with distributed teams across various time zones.

⛳️ Requirements

• Over 5 years of professional experience in software engineering, with a strong emphasis on backend or full-stack development.

• Proficient backend development skills.

• Expertise in at least one of the following: Go, Python, Ruby, or JavaScript/TypeScript.

• Practical experience with MLOps or production-grade machine learning systems.

• Familiarity with tools like Vertex AI, MLflow, Kubeflow, or similar alternatives.

• Experience with feature stores, preferably Chalk or similar technologies.

• Strong skills in SQL and experience working with data and feature pipelines.

• Experience with cloud platforms such as GCP, AWS, or Azure, with a preference for GCP.

• A solid grasp of machine learning principles and model deployment processes.

• Excellent debugging abilities.

• Outstanding communication skills.

• Capability to work effectively with cross-functional teams and colleagues across various time zones.

• Experience with search, ranking, recommendation systems, real-time systems, or performance/latency optimization is highly advantageous.

• Experience in online marketplaces, mentoring engineers, frontend development, A/B testing, or AI-assisted development tools is a bonus.

🏝️ Benefits

• Fully remote work environment.

• Highly competitive salary in USD.

• Paid time off.

• Autonomy in your work.

• Opportunity to work with leading American companies.

• Engagement activities.

• Support for work-life balance.

• Access to a diverse global network spanning over 25 countries.

• Collaboration with a multicultural team.

• Opportunity to work alongside seasoned senior professionals.