Martina Ortiz

S

Senior ML Engineer at Accenture · Kubeflow, Python

Accenture
Lima, Peru · PET (UTC-5)
6+ years experience
Fundação Getulio Vargas
English, Spanish
CollaboratingOpen to work
Messaging unavailable

Overview

I work on ML infrastructure at Accenture in Lima. Led the migration of 75 services to Kubeflow. Reduced cloud spend on ML platform by 35% in two quarters. Most at home with Kubeflow and Ray. I write short fiction no one reads.

Good reasons to reach out
  • Roles in recommendation systems
  • Collaborators for my side project
  • Speaking or podcast invitations
  • Thoughtful intros to people in my field
  • Second opinions on Ray decisions
Please don't message about
  • Survey or panel invitations
  • Offshore staffing offers

Slower in the last week of each quarter

Skills
PyTorchfeature storesRaymodel servingKubeflowPython
CollaboratingLooking to collaborate
closes in 3 months

Building a free course on Kubeflow for students - need co-instructors

Project
A free course on Kubeflow for students - need co-instructors
Skills needed
Marketing, Kubeflow
Time commitment
Part-time
Outcome
Published guide

Will credit everyone who contributes. Async-first.

Lima, Perupytorchmodel servingkubeflow
Open
Open to workLooking for a role
closes in 3 months

Next role: ML Engineer in gaming, Lima or hybrid

Target roles
ML Engineer
Level
Mid
Industries
E-commerce, Logistics
Work mode
Remote
Available
30 days notice
Work authorization
Authorized to work in Peru
What I'm looking for
Scope to lead recommendation systems work, with a manager who gives direct feedback.
Not interested in
Contract-only roles

6 years in ML infrastructure. Strongest at feature stores and Python. Can start in about six weeks.

Lima, Perupytorchpythonkubeflow
Open

Experience

  1. Senior ML Engineer
    Jul 2024 - Present
    Accenture · 2 yr 3 mo · Full-time · Lima, Peru
    • Shipped a ranking change that increased conversion 8.7%.
    • Taught SQL to 138 non-analysts.
    • Built the recommendations models now used in 10 product decisions a quarter.
  2. ML Engineer
    Sep 2022 - Jul 2024
    América Móvil · 1 yr 10 mo · Full-time · Lima, Peru
    • Moved the homepage from rules to a learned ranker.
  3. ML Engineer
    Oct 2020 - Sep 2022
    Despegar · 1 yr 11 mo · Full-time · Lima, Peru
    • Moved the homepage from rules to a learned ranker.
    • Taught SQL to 78 non-analysts.

Projects

Recommendation systems benchmark
2022

Reproducible benchmarks comparing Python and Kubeflow on real workloads.

Write-up: recommendation systems in practice
2022

A long-form guide to recommendation systems for people starting out.

References

No references yet.

Education

  1. Fundação Getulio Vargas
    Administração, Electrical Engineering
    2016 - 2020

Details

Compensation expectations
What they are targeting for their next role.
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