
Senior Back-End/MLOps Engineer – Real-Estate
Posted 5 days ago

Posted 5 days ago
This is a fully remote position, open to applicants in Colombia.
• Develop and sustain full-stack functionalities across marketplace products, encompassing search, ranking, and user-facing interactions.
• Create and enhance MLOps infrastructure, which includes model deployment pipelines, feature stores, real-time data pipelines, and monitoring solutions.
• Partner with data scientists and engineers to reliably and efficiently deploy machine learning models at scale.
• Produce clean, well-tested, and maintainable code while actively participating in code review processes.
• Engage in technical planning and decompose complex challenges into actionable tasks.
• Detect and address performance, reliability, and scalability challenges within existing systems.
• Handle data and feature pipelines, SQL, and experimentation/A/B testing frameworks.
• Update progress, highlight obstacles, and collaborate with distributed teams across various time zones.
• Over 5 years of professional software engineering experience, showcasing strong backend or full-stack development capabilities.
• Proficient backend development skills are essential.
• Expertise in at least one of the following programming languages: Go, Python, Ruby, or JavaScript/TypeScript.
• Practical experience with MLOps or production-level machine learning systems is required.
• Familiarity with tools such as Vertex AI, MLflow, Kubeflow, or similar technologies.
• Experience with feature stores, preferably Chalk or an equivalent technology.
• Strong SQL proficiency along with experience in data and feature pipelines.
• Familiarity with cloud platforms like GCP, AWS, or Azure, with a preference for GCP.
• A solid grasp of machine learning principles and model deployment processes.
• Excellent debugging capabilities are necessary.
• Strong communication skills with the ability to collaborate effectively with cross-functional and geographically dispersed teams.
• Experience in search, ranking, recommendation systems, real-time systems, or performance/latency optimization is a valuable asset.
• Background in online marketplaces, mentoring engineers, frontend development, A/B testing, or AI-assisted development tools is a plus.
• Candidates must currently reside in Latin America.
• Fully Remote Work Opportunity
• Highly Competitive Salary in USD
• Paid Time Off
• Autonomy in Work
• Collaborate with Leading American Companies
• Engagement activities that promote well-being and work-life balance
• Collaboration within a diverse, global network spanning over 25 countries
• Work alongside seasoned professionals with extensive experience
Intelance
WBS
Sprezzatura
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