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Tóm tắt công việc
About this role
As an MLOps Engineer, you will automate and streamline the process of integrating and maintaining machine learning models for both traditional and generative AI.
About our team
Our global AI, Data & Analytics Division at Renesas is experiencing an increasing demand for AI and Generative AI (LLM) based solutions. Working closely with our business partners, we deliver AI solutions to help drive value for Renesas at a global enterprise scale. We are seeking passionate candidates that will thrive as part of a global team of technologists that love empowering customers, collaborating with teammates, and using the latest AI and Data technologies.
Responsibilities
Optimize and monitor the performance, reliability, and security of AI/ML systems.
Applying 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.
About this role
As an MLOps Engineer, you will automate and streamline the process of integrating and maintaining machine learning models for both traditional and generative AI.
About our team
Our global AI, Data & Analytics Division at Renesas is experiencing an increasing demand for AI and Generative AI (LLM) based solutions. Working closely with our business partners, we deliver AI solutions to help drive value for Renesas at a global enterprise scale. We are seeking passionate candidates that will thrive as part of a global team of technologists that love empowering customers, collaborating with teammates, and using the latest AI and Data technologies.
Responsibilities
Optimize and monitor the performance, reliability, and security of AI/ML systems.
Applying 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.
Yêu cầu
Must Have
Bachelor's 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, Jenkins, Airflow, Kubeflow, etc.
Proficiency in Python, SQL, and at least one of the following frameworks and libraries: TensorFlow/PyTorch, Scikit-learn, etc.
Familiarity with Databricks products and services.
Have working knowledge of CI/CD.
Strong communication, documentation, and white-boarding skills.
Strong interest in collaboration, learning, and driving value through ML.
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 is preferred.
Knowledge in LLM actual use cases.
Experience working with a geographically distributed and cross-functional team including systems integrators and third-party companies.
Bachelor's 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, Jenkins, Airflow, Kubeflow, etc.
Proficiency in Python, SQL, and at least one of the following frameworks and libraries: TensorFlow/PyTorch, Scikit-learn, etc.
Familiarity with Databricks products and services.
Have working knowledge of CI/CD.
Strong communication, documentation, and white-boarding skills.
Strong interest in collaboration, learning, and driving value through ML.
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 is preferred.
Knowledge in LLM actual use cases.
Experience working with a geographically distributed and cross-functional team including systems integrators and third-party companies.
Thông tin khác
MLOps
DevOps
Git
Python
MS SQL
Jenkins
Docker
Apache Spark
MS Azure
AWS
Kubernetes
Tensorflow
GCP
scikit-learn
PyTorch
Apache Airflow
Delta Lake
Databricks
Kubeflow
CI/CD
LLM
Thông tin chung
- Ngày hết hạn: [protected info]
- Thu nhập: Thỏa Thuận
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Giới thiệu công ty
Xem trang công ty
Renesas is an embedded semiconductor solution provider driven by its Purpose 'To Make Our Lives Easier.' As the industry's 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.
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