---
title: 'Machine Learning Engineer at Cuesta Partners'
canonical: 'https://feeny.ai/job/machine-learning-engineer-cuesta-partners-latin-america-colombia-7tvkrv6f3dsg'
type: 'job'
last_seen: '2026-09-11'
---

# Machine Learning Engineer at Cuesta Partners

- **Company:** Cuesta Partners
- **Location:** Latin America / Colombia
- **Employment:** full-time
- **Work type:** hybrid
- **Posted:** 2026-08-17
- **Last confirmed live:** 2026-09-11
- **Apply:** https://jobs.ashbyhq.com/cuesta-partners/a4de3328-1bf9-460f-bca1-88392bd4c4eb

## Job description

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

## About Cuesta Partners

## Company Overview
- **One-liner**: Cuesta Partners is a technology strategy consulting firm that helps mid-market organizations navigate complex transformations, from M&A and AI implementation to data strategy and core technology modernization.
- **Entity Type**: Private (bootstrapped/self-funded, no funding rounds disclosed)
- **Headquarters**: Not publicly available (remote-first organization)
- **Founded**: Not publicly available
- **Founders**: Riley Scott (quoted as founder figure on the careers page)

## Core Business
- **Primary industry**: Technology strategy consulting, M&A advisory, AI and data strategy
- **Target customers**: Mid-market companies, organizations of various sizes across industries (B2B, enterprise)
- **Mission**: To turn technology into a true catalyst for growth and competitive advantage, helping clients move from ambition to outcomes with clarity and speed.

## Products & Services
- **Technology Strategy**: Helping CIOs and CTOs define clear, actionable strategies aligned with business priorities, covering software systems, infrastructure, cybersecurity, operating models, and AI.
- **Data Strategy & Execution**: Building data infrastructure, governance, and analytics to turn raw data into trusted, business-ready intelligence. Includes master data management, margin analytics, and resource demand analytics.
- **AI Strategy & Execution**: Identifying high-impact AI use cases, prototyping, and scaling solutions with clear ROI, using proprietary methods to evaluate AI and data maturity.
- **Mergers & Acquisitions Advisory**: Full lifecycle support including product/tech diligence, cybersecurity, post-merger integration, and AI readiness to unlock hidden value in deals.

## Market Standing
- **Valuation/Market Cap**: Not disclosed (private company)
- **Key Metric**: Not publicly available (no revenue or funding figures disclosed)
- **Notable Investors/Partners**: Not publicly available
- **Growth Signals**: Actively hiring for multiple remote roles (Data Engineer, Data Analyst, Engineering Manager, Technical Lead, etc.) with a focus on Latin America, indicating expansion. Client case studies show measurable results (e.g., $10K monthly labor cost reduction, $1M annual profit improvement for a $1.5B logistics provider).

## Competitive Advantages
- **Business-first, tech-smart approach**: Strategy grounded in business goals, not technology for its own sake.
- **Flat, non-hierarchical team structure**: Diversity of thought and experience; everyone teaches and learns, from newest hire to most senior.
- **Value-led delivery**: Co-creates with clients, stays engaged until value is realized, and focuses on measurable ROI.
- **Proprietary AI and data maturity evaluation methods**: Accelerates diligence and integration in M&A and transformation projects.

## Strategic Focus
- **AI readiness and implementation**: Helping clients define and scale AI strategies grounded in technical feasibility and high-value use cases.
- **Data foundation modernization**: Building scalable, cloud-ready data environments to enable real-time insight and innovation.
- **M&A value creation**: Turning acquisitions into platforms for scalable growth through deep technical and commercial diligence.
- **Expanding talent pool**: Hiring remote talent across Latin America to support growing client demand.

## Why Work Here
- **Remote-first culture**: "We’re Where You Work. Not Where You Live." Fully remote positions with a focus on work-life balance.
- **Generous PTO**: Encouraged up to 5 weeks of paid time off annually, with a minimum of 2 weeks; managers ensure time off is taken.
- **Competitive benefits**: Competitive salary, continuous education support, leading parental leave with flexible return options, full health care and ancillary insurance, plus 7 company holidays and 3 floating holidays.
- **Flat, learning-oriented culture**: Everyone is both teacher and student; autonomy to create your own path; emphasis on humility, entrepreneurship, speed, and diversity.
- **Growth opportunities**: Ability to lead and learn at every career stage; mentorship and exposure to diverse technologies and industries.

## Sources
1. [cuestapartners.com](https://www.cuestapartners.com/) – Main site overview of services and approach
2. [cuestapartners.com/about](https://www.cuestapartners.com/about-2/) – About page with mission and team structure
3. [cuestapartners.com/careers](https://www.cuestapartners.com/careers-2/) – Careers page with benefits, culture, and founder quote
4. [jobs.ashbyhq.com/cuesta-partners](https://jobs.ashbyhq.com/cuesta-partners) – Current job listings
5. [cuestapartners.rippling-ats.com](https://cuestapartners.rippling-ats.com/jobs) – Additional job listings showing remote roles in Latin America

## Other roles at Cuesta Partners

- [Senior Data Analyst | Latam](https://feeny.ai/job/senior-data-analyst-latam-cuesta-partners-latin-america-colombia-2x9hgj0ja02g) — Latin America / Colombia
- [Associate Recruiter](https://feeny.ai/job/associate-recruiter-cuesta-partners-latin-america-colombia-yp520y1wj713) — Latin America / Colombia
- [Databricks Architect | Canada](https://feeny.ai/job/databricks-architect-canada-cuesta-partners-canada-w9tk248evcgt) — Canada
- [Databricks Architect | Latam](https://feeny.ai/job/databricks-architect-latam-cuesta-partners-latin-america-colombia-p0xg8k16rh3e) — Latin America / Colombia
- [Databricks Architect | US](https://feeny.ai/job/databricks-architect-us-cuesta-partners-united-states-r0y42sav3530) — United States
- [Data Architect | Canada](https://feeny.ai/job/data-architect-canada-cuesta-partners-canada-pjnzhczkgjj0) — Canada
- [Principal | Technology Due Diligence & Private Equity](https://feeny.ai/job/principal-technology-due-diligence-private-equity-cuesta-partners-chicago-0p5gjcxzy9c0) — Chicago, IL
- [Manager/Sr. Manager - M&A Technical Due Diligence](https://feeny.ai/job/manager-sr-manager-m-a-technical-due-diligence-cuesta-partners-united-states-jmph7ht0zgnj) — United States
- [Analytics Engineer | CA](https://feeny.ai/job/analytics-engineer-ca-cuesta-partners-canada-9d972twww6bn) — Canada
- [AI Solutions Architect | US](https://feeny.ai/job/ai-solutions-architect-us-cuesta-partners-united-states-asdc157t165k) — United States