
Senior Data Scientist
1 day ago
This role requires a highly skilled Machine Learning Engineer to lead end-to-end machine learning pipelines on AWS SageMaker.
- Design, develop and deploy complex machine learning models and algorithms into production-ready code.
- Collaborate with data scientists to optimize model performance and reliability.
- Manage the entire machine learning lifecycle, including data ingestion, model training and deployment.
- Implement MLOps best practices to automate workflows and ensure model quality.
- Optimize ML models for scalability and cost efficiency on the AWS platform.
- Monitor and troubleshoot deployed models to meet business requirements.
Qualifications:
- Bachelor's or Master's degree in Computer Science, Engineering or a related field.
- 3+ years of experience in a machine learning or data science role.
- Hands-on experience with AWS services, specifically SageMaker.
- Proficiency in Python and standard ML libraries (e.g. scikit-learn, TensorFlow, PyTorch).
Preferred Qualifications:
- Experience with other AWS services such as S3, Lambda, Glue and Redshift.
- Certifications such as AWS Certified Machine Learning – Specialty.
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