
Principal Data Scientist
1 day ago
We are seeking an experienced Senior Machine Learning Engineer to join our AI/ML Engineering team. The ideal candidate will possess a robust background in traditional machine learning, deep learning, and significant experience with large datasets and cloud-based AI services.
The key responsibilities of this position include:
- Developing and optimizing complex data pipelines using machine learning engineering principles.
- Integrating and optimizing data and model pipelines within production environments, diagnosing data inconsistencies and documenting assumptions.
- Employing experimental methodologies, statistics, and machine learning concepts to create self-running AI systems for predictive modeling.
- Collaborating with data science teams to review model-ready datasets and feature documentation, ensuring completeness and accuracy.
Required Skills and Qualifications:
Technical Requirements- Minimum 8 years of relevant work experience.
- At least 3 years of hands-on experience designing ETL pipelines using AWS services (e.g., Glue, SageMaker).
- Proficiency in programming languages, particularly Python (including PySpark, PySQL) and familiarity with machine learning libraries and frameworks.
Benefits:
As a Senior Machine Learning Engineer, you will have the opportunity to work on challenging projects and collaborate with a team of experienced professionals. You will also receive comprehensive training and support to help you succeed in your role.
Certifications:
- Undergraduate degree or equivalent experience; a graduate degree is preferred.
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