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

Truelogic · Remote · Bogota ·
Fully remoteFull-timeSenior5+ years
COMPENSATION
€•• – ••k
0 applicants so far

Listed on the employer's job board (Ashby)

  • Senior level position
  • Fully remote (Colombia)
  • Go, Python, or Ruby
  • MLOps & Backend focus
  • USD compensation

Truelogic is hiring a Senior Back-End Engineer with MLOps expertise to join a Marketplace team. You will work at the intersection of product engineering and machine learning operations, helping to simplify the home renting process through data-driven solutions. The role requires collaborating with data scientists and engineers to bring ML capabilities into production at scale.

What you'll do

  • Build and maintain full-stack features for marketplace products like search and ranking
  • Develop MLOps infrastructure including model deployment pipelines and feature stores
  • Collaborate with data scientists to deploy machine learning models reliably
  • Write clean, well-tested code and participate in regular code reviews
  • Identify and resolve performance, reliability, and scalability issues
  • Work with data pipelines, SQL, and experimentation frameworks

What you'll need

  • 5+ years of professional software engineering experience
  • Strong backend skills in Go, Python, Ruby, or JavaScript/TypeScript
  • Hands-on experience with MLOps tools like Vertex AI, MLflow, or Kubeflow
  • Experience with feature stores such as Chalk or similar technologies
  • Strong SQL skills and experience with data pipelines
  • Experience with cloud platforms, preferably GCP
  • Solid understanding of machine learning concepts and model deployment

Nice to have

  • Experience with search, ranking, or recommendation systems
  • Background in online marketplaces or real-time systems
  • Experience mentoring engineers or frontend development
  • Familiarity with A/B testing or AI-assisted development tools

Stack

  • Go
  • Python
  • Ruby
  • JavaScript
  • TypeScript
  • Vertex AI
  • MLflow
  • Kubeflow
  • Chalk
  • SQL
  • GCP
  • AWS
  • Azure

How you'll work

  • 100% remote work policy
  • Based in Colombia
  • Flexible hours with focus on results
  • Collaboration across distributed time zones

What you get

  • Competitive USD compensation
  • Paid time off policies
  • Autonomy to manage your own time
  • Opportunity to work with U.S. industry leaders
  • Access to a global network of professionals