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 Senior 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
- 5+ 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
📌 Senior ML Engineer (México)
🏢 Sunnydata
📍 México
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