Senior Back-End Engineer, MLOps

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

📋 Description

• Design and uphold comprehensive features for marketplace products, encompassing search, ranking, and user-centered experiences.

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

• Partner with data scientists and engineers to ensure the reliable and scalable deployment of machine learning models.

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

• Engage in technical planning and decompose complex challenges into manageable, executable tasks.

• Detect and address performance, reliability, and scalability concerns within existing systems.

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

• Effectively communicate progress, identify obstacles promptly, and collaborate with distributed teams across various time zones.

⛳️ Requirements

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

• Proficient backend development expertise.

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

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

• Familiarity with Vertex AI, MLflow, Kubeflow, or similar technologies.

• Experience with feature stores, preferably Chalk or an equivalent technology.

• Strong SQL capabilities and experience working with data and feature pipelines.

• Experience with GCP, AWS, or Azure, with a preference for GCP.

• Solid comprehension of machine learning principles and model deployment.

• Excellent debugging skills.

• Ability to work effectively with cross-functional teams and colleagues across different time zones.

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

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

• Must be currently residing in Latin America.

🏝️ Benefits

• Fully Remote Work.

• Highly Competitive USD Compensation.

• Paid Time Off.

• Work with Autonomy.

• Collaborate with Leading American Companies.

• Engagement Activities.

• Support for Work-Life Balance.

• Collaborate with a Diverse, Global Network.

• Access to a Network of Over 600 Professionals in More Than 25 Countries.

• Work alongside Experienced Senior Talent.