Senior Machine Learning Ops Engineer, ML System
As a Senior Machine Learning Ops Engineer for ML Systems at ByteDance, you will play a crucial role in developing and maintaining the infrastructure for our cutting-edge machine learning systems. Your expertise in operations and engineering will be essential in ensuring the flawless execution of our complex and diverse ML models. We are looking for a highly skilled and experienced individual who is passionate about pushing the boundaries of technology and has a strong background in machine learning, operations, and software engineering. If you have a strong drive for innovation and are looking for an opportunity to make a significant impact in the field of machine learning, we want to hear from you.
- Develop and maintain the infrastructure for machine learning systems at ByteDance.
- Ensure flawless execution of complex and diverse ML models.
- Utilize expertise in operations and engineering to optimize ML systems.
- Work closely with a team of engineers and data scientists to identify and address any issues with ML systems.
- Continuously monitor and improve the performance and scalability of ML systems.
- Troubleshoot and resolve any technical issues related to ML systems.
- Collaborate with cross-functional teams to design, develop, and deploy new ML models.
- Implement best practices and industry standards for ML operations and engineering.
- Mentor and guide junior team members in ML operations and engineering.
- Stay updated on the latest advancements in the field of machine learning and incorporate them into ML systems.
- Participate in code reviews and ensure high-quality code is being delivered.
- Communicate effectively with stakeholders to provide updates on the status of ML systems.
- Identify and implement automation and process improvements for ML operations.
- Ensure compliance with security and privacy regulations for ML systems.
- Continuously strive for innovation and push the boundaries of technology in the field of machine learning.
Extensive Experience With Machine Learning Systems: The Ideal Candidate Should Have A Deep Understanding Of Machine Learning Algorithms, Frameworks, And Tools. They Should Have Experience Building And Deploying Large-Scale Machine Learning Systems In Production Environments.
Strong Programming Skills: A Senior Machine Learning Ops Engineer Should Have Strong Programming Skills In Languages Such As Python, Java, Or C++. They Should Also Have Experience With Distributed Computing Frameworks Such As Hadoop, Spark, Or Flink.
Knowledge Of Cloud Computing: The Candidate Should Have A Strong Understanding Of Cloud Computing Platforms Such As Aws, Gcp, Or Azure. They Should Have Experience With Deploying And Managing Machine Learning Systems On These Platforms.
Devops Experience: As A Senior Machine Learning Ops Engineer, The Candidate Should Have Experience With Devops Practices And Tools. They Should Have A Strong Understanding Of Ci/Cd Pipelines, Containerization, And Orchestration Tools Such As Kubernetes.
Communication And Teamwork Skills: The Role Of A Senior Machine Learning Ops Engineer Requires Collaboration With Cross-Functional Teams, Including Data Scientists, Machine Learning Engineers, And Software Developers. The Candidate Should Have Excellent Communication Skills And The Ability To Work Effectively In A Team Environment.
DevOps
Distributed systems
Deep Learning
Cloud Computing
Performance optimization
Data Mining
Continuous Integration (CI)
Python programming
Natural Language Processing (NLP)
Model Deployment
Big
Communication
Conflict Resolution
Leadership
Time management
creativity
Critical thinking
Attention to detail
Teamwork
Adaptability
Problem-Solving
According to JobzMall, the average salary range for a Senior Machine Learning Ops Engineer, ML System in Seattle, WA, USA is $150,000 - $200,000 per year. This salary range may vary depending on the specific company, industry, and level of experience of the individual. Some companies may offer additional benefits and bonuses.
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ByteDance is a technology company operating a range of content platforms that inform, educate, entertain and inspire people across languages, cultures, and geographies. Dedicated to building global platforms of creation and interaction, ByteDance now has a portfolio of applications available in over 150 markets and 75 languages. For example, TikTok, Helo, Vigo Video, Douyin, and Huoshan.
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