
Data Scientist and Machine Learning Specialist
1 week ago
The role involves developing, training and deploying machine learning models using advanced tools such as AWS Sagemaker.
- A strong background in AI and ML frameworks is required.
- Proficiency in programming languages like Python, Java or C++ is necessary.
Familiarity with ETL processes for ML pipelines, containerization using Docker, and orchestration using Kubernetes is highly beneficial.
Additionally, a deep understanding of the machine learning lifecycle, including model development, training, validation, deployment, and monitoring is essential.
Developing scalable and efficient machine learning solutions using AWS EMR Serverless and PySpark is also a key requirement.
Good communication skills are necessary to work effectively within cross-functional teams.
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AI and Machine Learning Expert
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Chief Machine Learning Architect
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Data Scientist
1 week ago
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Lead Data Scientist Opportunities
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Senior Machine Learning Engineer
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Data Scientist Specialist
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