- Chi tiết công việc
- Giới thiệu công ty
Thu nhập: Thỏa thuận
Loại hình: Toàn thời gian
Chức vụ: Nhân viên
Mô tả công việc
About this roleAs 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 teamOur 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.
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
QualificationsMust 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.
Quyền lợi
Renesas Design Vietnam Company Limited aims to provide our employees with comprehensive compensation and benefit plans, and a professional working environment. Some featured benefits are: - Competitive salary/bonus based on working performance. - Excellent training program. - Opportunity for promotion. - Fair assessment. - 24/24 hour insurance package including social and medical and unemployed insurance - Dynamic people. - Team-oriented environment. - Sport activities and Annual company trip
Thông tin chung
- Thu nhập: Thỏa thuận
Cách thức ứng tuyển
Ứng viên nộp hồ sơ trực tuyến bằng cách bấm nút Ứng tuyển bên dưới:
Hạn nộp: 30/12/2024
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