- Optimize and monitor the performance reliability and security of AI/ML systems.
- Applying DevSecOps best practices and standards for data quality code quality version control CI/CD and documentation.
- Developing testing deploying and monitoring scalable and reliable machine learning pipelines using Databricks.
- Troubleshooting and resolving issues related to data model and infrastructure performance and availability.
- Researching and evaluating new technologies and frameworks for improving the efficiency and effectiveness of machine learning workflows.
Qualifications :
Must Have
- Bachelors degree or higher in computer science mathematics or a related field.
- Experience with DevOps MLOps or LLMOps tools and methodologies such as Git Docker Kubernetes Github Action Airflow Kubeflow Terraform etc.
- Proficiency in Python SQL and at least one of the following frameworks and libraries: TensorFlow/PyTorch Scikit-learn etc.
- Experience working with APIs.
- Familiarity developing with Databricks products and services.
- Working knowledge of CI/CD.
- Strong communication documentation and white-boarding skills.
- Strong interest in collaboration learning and driving value through ML.
- Business-level proficiency in English (written and spoken).
Strongly Preferred
- Databricks certifications.
- Experience with Databricks Mlflow Spark Delta Lake and other components of the Databricks Unified Data Analytics Platform.
- Working knowledge of at least one major cloud ecosystem (AWS Azure or GCP).
- Azure certifications.
- Knowledge in LLM actual use cases.
- Experience working with a geographically distributed and cross-functional team including systems integrators and third-party companies.
- Business-level proficiency in Japanese (written and spoken).
Additional Information :
Renesas is an embedded semiconductor solution provider driven by its Purpose To Make Our Lives Easier. As the industrys leading expert in embedded processing with unmatched quality and system-level know-how we have evolved to provide scalable and comprehensive semiconductor solutions for automotive industrial infrastructure and IoT industries based on the broadest product portfolio including High Performance Computing Embedded Processing Analog & Connectivity and Power.
With a diverse team of over 21000 professionals in more than 30 countries we continue to expand our boundaries to offer enhanced user experiences through digitalization and usher into a new era of innovation. We design and develop sustainable power-efficient solutions today that help people and communities thrive tomorrow To Make Our Lives Easier.
At Renesas you can:
- Launch and advance your career in technical and business roles across four Product Groups and various corporate functions. You will have the opportunities to explore our hardware and software capabilities and try new things.
- Make a real impact by developing innovative products and solutions to meet our global customers evolving needs and help make peoples lives easier safe and secure.
- Maximize your performance and wellbeing in our flexible and inclusive work environment. Our people-first culture and global support system including the remote work option and Employee Resource Groups will help you excel from the first day.
Are you ready to own your success and make your mark
Join Renesas. Lets Shape the Future together.
Renesas Electronics is an equal opportunity and affirmative action employer committed to supporting diversity and fostering a work environment free of discrimination on the basis of sex race religion national origin gender gender identity gender expression age sexual orientation military status veteran status or any other basis protected by law. For more information please read our Diversity & Inclusion Statement.
We have adopted a hybrid model that gives employees the ability to work remotely two days a week while ensuring that we come together as a team in the office the rest of the time. The designated in-office days are Tuesday through Thursday for innovation collaboration and continuous learning.
Remote Work :
No
Employment Type :
Full-time
Optimize and monitor the performance reliability and security of AI/ML systems.Applying DevSecOps best practices and standards for data quality code quality version control CI/CD and documentation.Developing testing deploying and monitoring scalable and reliable machine learning pipelines using Data...
- Optimize and monitor the performance reliability and security of AI/ML systems.
- Applying DevSecOps best practices and standards for data quality code quality version control CI/CD and documentation.
- Developing testing deploying and monitoring scalable and reliable machine learning pipelines using Databricks.
- Troubleshooting and resolving issues related to data model and infrastructure performance and availability.
- Researching and evaluating new technologies and frameworks for improving the efficiency and effectiveness of machine learning workflows.
Qualifications :
Must Have
- Bachelors degree or higher in computer science mathematics or a related field.
- Experience with DevOps MLOps or LLMOps tools and methodologies such as Git Docker Kubernetes Github Action Airflow Kubeflow Terraform etc.
- Proficiency in Python SQL and at least one of the following frameworks and libraries: TensorFlow/PyTorch Scikit-learn etc.
- Experience working with APIs.
- Familiarity developing with Databricks products and services.
- Working knowledge of CI/CD.
- Strong communication documentation and white-boarding skills.
- Strong interest in collaboration learning and driving value through ML.
- Business-level proficiency in English (written and spoken).
Strongly Preferred
- Databricks certifications.
- Experience with Databricks Mlflow Spark Delta Lake and other components of the Databricks Unified Data Analytics Platform.
- Working knowledge of at least one major cloud ecosystem (AWS Azure or GCP).
- Azure certifications.
- Knowledge in LLM actual use cases.
- Experience working with a geographically distributed and cross-functional team including systems integrators and third-party companies.
- Business-level proficiency in Japanese (written and spoken).
Additional Information :
Renesas is an embedded semiconductor solution provider driven by its Purpose To Make Our Lives Easier. As the industrys leading expert in embedded processing with unmatched quality and system-level know-how we have evolved to provide scalable and comprehensive semiconductor solutions for automotive industrial infrastructure and IoT industries based on the broadest product portfolio including High Performance Computing Embedded Processing Analog & Connectivity and Power.
With a diverse team of over 21000 professionals in more than 30 countries we continue to expand our boundaries to offer enhanced user experiences through digitalization and usher into a new era of innovation. We design and develop sustainable power-efficient solutions today that help people and communities thrive tomorrow To Make Our Lives Easier.
At Renesas you can:
- Launch and advance your career in technical and business roles across four Product Groups and various corporate functions. You will have the opportunities to explore our hardware and software capabilities and try new things.
- Make a real impact by developing innovative products and solutions to meet our global customers evolving needs and help make peoples lives easier safe and secure.
- Maximize your performance and wellbeing in our flexible and inclusive work environment. Our people-first culture and global support system including the remote work option and Employee Resource Groups will help you excel from the first day.
Are you ready to own your success and make your mark
Join Renesas. Lets Shape the Future together.
Renesas Electronics is an equal opportunity and affirmative action employer committed to supporting diversity and fostering a work environment free of discrimination on the basis of sex race religion national origin gender gender identity gender expression age sexual orientation military status veteran status or any other basis protected by law. For more information please read our Diversity & Inclusion Statement.
We have adopted a hybrid model that gives employees the ability to work remotely two days a week while ensuring that we come together as a team in the office the rest of the time. The designated in-office days are Tuesday through Thursday for innovation collaboration and continuous learning.
Remote Work :
No
Employment Type :
Full-time
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