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Cuesta Partners

Machine Learning Engineer

LATAM | Colombia
Level
Mid
Work type
Hybrid

Not stated in the posting: salary, visa.

Open. First seen 2 October 2026.

About the role

Cuesta Partners is looking for a Machine Learning Engineer in Latin America interested in consulting, to work with our broad base of clients on various engagements, delivering AI-driven solutions using modern technologies and best practices while mentoring others.

As a member of our data practice, you will play a key role in shaping our clients' AI and machine learning capabilities. Your mission will be to develop and deploy machine learning models that enhance business insights and operational efficiencies. You will collaborate with cross-functional teams to ensure seamless model integration and optimization.

What We're Looking For:

  • 3-5 years of prior experience as a ML Engineer.
  • Bachelor's or Master’s degree in Computer Science, AI, Data Science, or related field.
  • Proven experience as a Machine Learning Engineer with expertise in designing, developing, and deploying ML models.
  • Proficiency in Python and ML libraries such as TensorFlow, PyTorch, and scikit-learn.
  • Strong understanding of algorithms, statistics, and machine learning techniques.
  • Experience deploying models using cloud platforms (AWS, GCP, or Azure).
  • Strong problem-solving skills and ability to work in a collaborative environment.

What You'll Do:

  • Design, develop, and deploy machine learning models for a variety of applications, including predictive analytics, classification, and clustering.
  • Build and optimize scalable, end-to-end ML pipelines from data preprocessing and feature engineering to deployment and retraining, ensuring efficient data flow and robust performance.
  • Collaborate with data scientists, data engineers, and MLOps teams to ensure clean datasets, scalable infrastructure, and adherence to best practices in model deployment.
  • Integrate ML models into production environments and continuously monitor, evaluate, and retrain them to maintain effectiveness and accuracy.
  • Implement cloud-based solutions to support scalable and efficient machine learning workflows.
  • Stay up to date on emerging ML/AI technologies and recommend new tools and techniques to enhance model performance and outcomes.
  • Document processes and develop technical materials to support model transparency, reproducibility, and interpretability.

Why You’ll Love Working With Us

  • Comprehensive Health Plan: Prepaid health coverage for you and your immediate family.
  • Team Engagement Activities: Fun and meaningful events to connect and grow together.
  • Annual Performance Bonus: Recognition and reward for your hard work.
  • Growth Opportunities: Career development and advancement within the company.
  • Flexible Work: Hybrid model with mostly remote work and one day per week in the office for team connection.
  • Paid Time Off & Holidays: Generous leave to recharge and spend time with loved ones.

…and more! Additional perks and initiatives to make your experience at Cuesta Partners even better

What this role asks for

Particular to this role

MLOps · scikit-learn

Rare in Cuesta Partners's other 13 open postings.

Standard for data science / ML roles

Machine Learning · PyTorch

Common in data science / ML postings at any company.

In most of Cuesta Partners's ads

AWS · Azure · Python

Named in most of its open postings, whatever the role.

Read against Cuesta Partners's other open postings on this site.

The team: Data & AI Consulting HIRES STEADILY

This role is one of 13 open in Data & AI Consulting. 2 were posted in the last 30 days and the oldest in December: a team that hires all year rather than one being built.

WHAT THE TEAM WORKS WITH, ACROSS ITS POSTINGS

Python (12 of 13), AWS (11 of 13), Azure (10 of 13), Databricks (10 of 13), SQL (10 of 13), ETL (8 of 13), Data Warehousing (7 of 13)

OTHER ROLES ON THIS TEAM

From the team and dates on Cuesta Partners's own job board.

Salary context

65 other open postings titled Machine Learning Engineer state a salary: median USD 150,000 to USD 203,400 a year.

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