JobRialto
Data Scientist
JobRialto, Union, KY, United States
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