Machine Learning Engineer

SunnyData; Mexico; On-site; PHP 5,611,000 - 7,481,000; Full time

Job summary

SunnyData is seeking a Machine Learning Engineer to lead complex data projects, develop predictive models, and deploy scalable ML solutions that power business outcomes. You will collaborate with data engineers, product, and analytics teams to turn challenges into data-driven decisions and influence key business choices.

You will mentor junior data scientists, communicate findings to executives, and contribute to best practices in model development and operationalization, with a strong emphasis

Qualifications

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

Responsibilities

• Lead design, development, and deployment of ML models.
• Work with large datasets to build predictive analytics pipelines.
• Collaborate with data engineers to optimize cloud-based data solutions.
• Translate business challenges into data-driven solutions using modeling.
• Automate data workflows and model deployment with cloud services and CI/CD.
• Mentor junior data scientists and share best practices.
• Communicate findings and strategic recommendations to stakeholders.

Skills

Experience in data science/ML

Python (Pandas, scikit-learn, PyTorch,

SQL

Statistics, A/B testing

Production ML deployment

MLOps tools (MLflow, SageMaker Pipeli

Communication & leadership

Education

Bachelor’s or Master’s in CS/Stats/Math

Tools

Spark

EMR

Docker

ECS

EKS

Airflow

MLflow

SageMaker Pipelines

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.