---
title: 'Machine Learning Engineer at SunnyData'
canonical: 'https://feeny.ai/job/machine-learning-engineer-sunnydata-argentina-rax29cd6fyys'
type: 'job'
last_seen: '2026-09-05'
---

# Machine Learning Engineer at SunnyData

- **Company:** SunnyData
- **Location:** Argentina
- **Employment:** full-time
- **Work type:** remote
- **Posted:** 2026-08-28
- **Last confirmed live:** 2026-09-05
- **Apply:** https://jobs.ashbyhq.com/sunnydata/27a00166-adb4-45d9-94b6-7a089ed8beaf

## Job description

At SunnyData, our mission is to help customers build a highly scalable architecture, robust data engineering pipelines, easy data consumption layers and more importantly build ML and AI applications to power their business and drive outstanding business outcomes. As a Machine Learning Engineer you will lead complex data projects, develop predictive models, and deploy scalable machine learning solutions. You will work cross-functionally with engineering, product, and analytics teams to derive actionable insights and influence key business decisions.

The Impact You Will Have

- Lead the design, development, and deployment of machine learning models.
- Work with large, complex datasets to extract valuable insights and build predictive analytics pipelines.
- Collaborate with data engineers to architect and optimize cloud-based data solutions.
- Translate business challenges into data-driven solutions using statistical modeling and machine learning techniques.
- Automate data workflows and model deployment processes using cloud services and CI/CD tools.
- Mentor junior data scientists and contribute to best practices in model development and operationalization.
- Communicate findings and strategic recommendations to stakeholders and executive leadership.

## What We Look For

- 4+ years of experience in data science or machine learning roles.
- Proficient in Python (pandas, scikit-learn, PyTorch or TensorFlow) and SQL.
- Strong background in statistics, A/B testing, and machine learning algorithms.
- Experience building and deploying models in production environments.
- Familiarity with MLOps practices and tools (e.g., MLflow, SageMaker Pipelines, Airflow).
- Excellent communication and leadership skills.

## PREFERRED QUALIFICATIONS

- Experience with big data tools (Spark, EMR).
- Familiarity with containerization (Docker, ECS, EKS) and serverless architecture.

Education

- Bachelor’s or Master’s degree in Computer Science, Statistics, Mathematics, or a related field is preferred.

Our Commitment to Diversity and Inclusion:

SunnyData is dedicated to building a workforce that reflects the world around us. We are an equal opportunity employer committed to unbiased hiring practices. All qualified applicants will receive consideration for employment without regard to race, religion, gender identity, disability, veteran status, or any other protected characteristic.

Why Join SunnyData?

- Innovative Environment: Work with cutting-edge technologies and industry leaders in data engineering and AI.
- Customer Impact: Make a real difference in how businesses leverage data for strategic decision-making.
- Career Growth: Opportunities for professional development and career advancement.
- Collaborative Culture: Join a supportive team that values collaboration and knowledge sharing.

If you are passionate about data engineering and enjoy engaging with clients to solve their most challenging problems, we would love to hear from you. Apply today and become a key player in SunnyData's success story.

## About SunnyData

## Company Overview
- **One-liner**: SunnyData is a premier Databricks systems integrator that specializes in data engineering, migrations, AI/ML, and data governance for regulated industries.
- **Entity Type**: Private (funding not publicly disclosed)
- **Headquarters**: Minneapolis, Minnesota, United States
- **Founded**: Not publicly available
- **Founders**: Allen Becker, Kai Thapa, Santiago Carrera, Jeronimo Acosta, Brock Noland

## Core Business
- **Primary industries**: IT Services and IT Consulting; focused exclusively on the Databricks Lakehouse Platform
- **Target customers**: B2B enterprise – Financial Services, Healthcare & Life Sciences, Retail, and other regulated, data-intensive sectors
- **Mission or purpose**: Build rock-solid data engineering foundations to turn AI aspirations into measurable, trustworthy outcomes; bridge the gap between proof-of-concept and production impact

## Products & Services
- **[Data Engineering](https://www.sunnydata.ai/)**: Robust pipelines and data architecture enabling AI, BI, and analytics initiatives with faster, fewer failures and measurable ROI.
- **[Migrations to Databricks](https://www.sunnydata.ai/)**: Zero-disruption migration services designed to go live fast and stay live longer, with architecture that opens doors for future use cases.
- **[Data & AI Governance](https://www.sunnydata.ai/)**: Governance built on Databricks Unity Catalog, delivering audit-ready compliance and unified governance across data and AI assets.
- **[AI & Data Science](https://www.sunnydata.ai/)**: Moving AI initiatives from pilot to production, enabling faster decisions backed by trustworthy models.

## Market Standing
- **Valuation/Market Cap**: Not disclosed
- **Key Metric**: 110 employees (as of mid-2026), with 329.4% year-over-year headcount growth; 9,330 LinkedIn followers (+97.2% yearly)
- **Notable Investors/Partners**: Pure-play Databricks partner; technology ecosystem includes Fivetran, Prophecy, Montecarlo, and Sigma
- **Growth Signals**: Rapid expansion across 6 countries (Uruguay, Argentina, Mexico, Nepal, India, USA); 23 active job postings; 75% improvement in time to value for clients; delivery 25% faster than average Databricks partner

## Competitive Advantages
- **Pure‑play focus on Databricks** – deeper expertise than generalist consultancies, with Databricks‑certified engineers and a Databricks MVP on staff
- **Senior‑heavy teams** – experienced practitioners do the hands‑on work, no junior generalists
- **Deep industry knowledge** – regulatory and compliance expertise in financial services, healthcare, and retail
- **Nearshore delivery model** – primary delivery from Uruguay (within 3 hours of all U.S. time zones, top‑tier data talent)

## Strategic Focus
- Deepen Databricks mastery and expand AI/ML production deployment capabilities
- Continue to scale nearshore talent in Latin America while serving U.S. clients
- Further embed governance and compliance into every engagement to accelerate AI adoption in regulated industries

## Why Work Here
- **Culture**: Engineer‑led environment where senior practitioners solve real‑world challenges; values include technical excellence, ownership, and continuous learning
- **Work model**: Remote or hybrid options available; offices in Minneapolis (HQ) and Montevideo, Uruguay
- **Perks & growth**: Fast‑growing company (329% YoY) with exposure to cutting‑edge Databricks and AI stacks; opportunities to work with Fortune 500 clients and shape the data strategy of regulated enterprises
- **Tech stack**: Databricks, Fivetran, Prophecy, Montecarlo, Sigma – a modern, cloud‑native toolchain

## Sources
1. [sunnydata.ai](https://www.sunnydata.ai/)
2. [sunnydata.ai/our-story](https://www.sunnydata.ai/our-story)
3. [sunnydata.ai/careers](https://www.sunnydata.ai/careers)
4. [linkedin.com/company/sunnydata](https://www.linkedin.com/company/sunnydata)
5. [builtin.com/company/sunnydata](https://builtin.com/company/sunnydata)

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