Senior Back-End/MLOps Engineer - Real-Estate (DR)

TrueLogic
Santo Domingo
Workplace: RemoteFull timeFunction: Administration & Executive AssistanceExperience: 5+ yearsSkills: ["Ownership","Debugging","Communication","Collaboration","Problem-solving"]

Build and maintain backend systems powering marketplace search, ranking, and matching experiences. Support MLOps and production ML workflows, including model deployment pipelines, feature stores, real-time data pipelines, and monitoring. Collaborate with data scientists, product partners, and engineers to reliably bring models into production at scale. Write clean, well-tested code, troubleshoot performance and reliability issues, and plan work by breaking down complex backend and infrastructure challenges into executable tasks.

Loading

Loading job details...

Preparing the role view and application actions.

FursaFursa
TrueLogic
TrueLogic
2 days ago

Senior Back-End/MLOps Engineer - Real-Estate (DR)

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 16 hours agoStatus: Live

Job Summary

Build and maintain backend systems powering marketplace search, ranking, and matching experiences. Support MLOps and production ML workflows, including model deployment pipelines, feature stores, real-time data pipelines, and monitoring. Collaborate with data scientists, product partners, and engineers to reliably bring models into production at scale. Write clean, well-tested code, troubleshoot performance and reliability issues, and plan work by breaking down complex backend and infrastructure challenges into executable tasks.
Location: Santo Domingo
Workplace: Remote
Employment Type: Full time
Job Function: Administration & Executive Assistance
Seniority: Mid level

Key Responsibilities

  • •Build and maintain full-stack features across marketplace products, including search, ranking, and user-facing experiences.
  • •Develop and support MLOps infrastructure, including model deployment pipelines, feature stores, real-time data pipelines, and monitoring.
  • •Collaborate with data scientists and engineers to bring machine learning models into production reliably and at scale.
  • •Write clean, well-tested, maintainable code and actively participate in code reviews.
  • •Identify and resolve performance, reliability, and scalability issues, working with data/feature pipelines and experimentation/A-B testing frameworks.

Pay and Benefits

Perks:Remote WorkPaid Leave

Key Requirements

  • •5+ years of professional software engineering with strong backend or full-stack experience.
  • •Proficiency in at least one of Go, Python, Ruby, or JavaScript/TypeScript for backend development.
  • •Hands-on MLOps/production ML systems experience, including tools such as Vertex AI, MLflow, Kubeflow, or equivalent.
  • •Experience with feature stores, ideally Chalk or a comparable technology.
  • •Strong SQL skills and experience working with data and feature pipelines, plus knowledge of cloud platforms (GCP preferred) and model deployment.
Experience:5+ years
Skills:OwnershipDebuggingCommunicationCollaborationProblem-solving
Tech Stack:GoPythonRubyJavaScriptTypeScriptVertex AIMLflowKubeflowChalkSQLGCPAWSAzureFeature storesMachine learningModel deploymentSearchRankingRecommendation systemsA/B testing

Company Brief

TrueLogic
TrueLogic builds custom web and mobile applications, offering product engineering, UX/UI design, and team augmentation services. They partner with startups and enterprises to deliver scalable software solutions, cloud integrations, and ongoing technical support.
Industry: Professional Services
Website