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SeniorFull-timePythonDockerMachine LearningData ScienceTensorFlowPyTorchCI/CDAIML
Salary Range
$132,600 - $179,400 /year
This salary is estimated based on similar roles. The actual salary may vary.
About the Role
We are looking for a Machine Learning Engineer to join SunnyData, where you will lead complex data projects, develop predictive models, and deploy scalable machine learning solutions. This role involves working cross-functionally with engineering, product, and analytics teams to derive actionable insights and influence key business decisions.
Key Responsibilities
- →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.
Requirements
- ✓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.
- ✓Bachelor’s or Master’s degree in Computer Science, Statistics, Mathematics, or a related field is preferred.
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