JobRialto
Data Scientist
JobRialto, Cincinnati, Ohio, United States, 45208
Job Summary
We are seeking an experienced Data Scientist with a background in ML Engineering to develop and maintain toolkits, pipelines, models, and dashboards with a high level of independence. The ideal candidate will be skilled in working with public cloud platforms, have a strong foundation in MLOps practices, and possess the ability to write software in multiple programming languages. This role involves ensuring efficient deployment and maintenance of models and CI/CD pipelines.
Key Responsibilities
• Independently develop, deploy, and maintain data science models, pipelines, and toolkits.
• Work with public cloud platforms, including AWS, Azure, or GCP, to manage data infrastructure.
• Implement MLOps practices, including CI/CD and test-driven development (TDD/BDD), to streamline the deployment of ML models.
• Develop software using languages such as Python, Java, Go, JavaScript, or C++ to enhance data processing and model deployment.
• Create dashboards to visualize data insights and model performance metrics.
Required Qualifications
• 5+ years of experience as a Data Scientist or ML Engineer.
• Demonstrated ability to work independently on developing and managing data science and ML toolkits, pipelines, models, and dashboards.
• Hands-on experience with public cloud platforms, including AWS, Azure, or GCP.
• Proficiency in MLOps, including CI/CD pipelines and test-driven development (TDD/BDD).
• Strong programming skills in languages such as Python, Java, Go, JavaScript, or C++.
Preferred Qualifications
• Familiarity with additional programming languages or libraries for machine learning and data analysis.
• Experience building automated model monitoring and alerting systems in cloud environments
Education:
Bachelors Degree
We are seeking an experienced Data Scientist with a background in ML Engineering to develop and maintain toolkits, pipelines, models, and dashboards with a high level of independence. The ideal candidate will be skilled in working with public cloud platforms, have a strong foundation in MLOps practices, and possess the ability to write software in multiple programming languages. This role involves ensuring efficient deployment and maintenance of models and CI/CD pipelines.
Key Responsibilities
• Independently develop, deploy, and maintain data science models, pipelines, and toolkits.
• Work with public cloud platforms, including AWS, Azure, or GCP, to manage data infrastructure.
• Implement MLOps practices, including CI/CD and test-driven development (TDD/BDD), to streamline the deployment of ML models.
• Develop software using languages such as Python, Java, Go, JavaScript, or C++ to enhance data processing and model deployment.
• Create dashboards to visualize data insights and model performance metrics.
Required Qualifications
• 5+ years of experience as a Data Scientist or ML Engineer.
• Demonstrated ability to work independently on developing and managing data science and ML toolkits, pipelines, models, and dashboards.
• Hands-on experience with public cloud platforms, including AWS, Azure, or GCP.
• Proficiency in MLOps, including CI/CD pipelines and test-driven development (TDD/BDD).
• Strong programming skills in languages such as Python, Java, Go, JavaScript, or C++.
Preferred Qualifications
• Familiarity with additional programming languages or libraries for machine learning and data analysis.
• Experience building automated model monitoring and alerting systems in cloud environments
Education:
Bachelors Degree