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.
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.
Skills Required
- 4+ years of experience in data science or machine learning roles
- Proficiency in Python, including pandas, scikit-learn, and PyTorch or TensorFlow
- Proficiency in 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 such as MLflow, SageMaker Pipelines, or Airflow
- Excellent communication and leadership skills
- Experience with big data tools such as Spark or EMR
- Familiarity with containerization using Docker, ECS, or EKS
- Familiarity with serverless architecture
- Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, or a related field
SunnyData Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about SunnyData and has not been reviewed or approved by SunnyData.
-
Healthcare Strength — Health insurance is considered to start on day one for employees and eligible family members, which is positioned as a meaningful advantage. Feedback suggests coverage timing and inclusivity are clear for U.S. roles.
-
Leave & Time Off Breadth — Paid time off is described as at least 15 days annually plus 9 company holidays for U.S. roles. This indicates a solid baseline that aligns with standard professional services expectations.
-
Flexible Benefits — Remote-first work with no relocation required is highlighted, offering location flexibility across multiple countries. This flexibility is presented as a notable non-cash perk.
SunnyData Insights
What We Do
SunnyData is a Databricks-centered partner with deep Data Engineering roots, exclusively focused on migrating, modernizing and scaling data solutions on the Databricks platform. We bridge the gap between concept and real-world impact, recognizing that a solid Data Engineering foundation is essential for successful AI, ML, Data Science, and Analytics projects. Our expertise ensures that advanced technologies are implemented effectively, turning lab-driven innovation into tangible business outcomes and measurable ROI. Founded by data architects and engineers with a proven track record, our leadership team includes early adopters of Spark and leaders in Apache big data projects. With over 20 years of experience across Cloudera, Informatica, and phData, our team features a Databricks MVP, enabling us to solve the most complex data challenges. What We Specialize In: + Data Engineering + Data Migrations to Databricks + GenAI & Data Science + Data & AI Governance with Unity Catalog * Our deep industry expertise in Financial Services, Healthcare & Life Sciences, and Retail enables us to deliver highly contextualized solutions for regulated and data-driven sectors. We operate and deliver from both the USA and Uruguay. We chose Uruguay for its strategic location (within 3 hours of all U.S. timezones), top-tier data talent (#1 exporter in LATAM), and innovative culture, providing the fastest internet in LATAM and offering universal and free quality education.
