NVIDIA

Senior MLOps Engineer, Deep Learning Algorithms

NVIDIA

Remote
Full-TimeDepends on ExperienceSenior LevelPhd or Professional
Job Description

NVIDIA is a leader in the AI and deep learning space and is actively looking for an experienced Senior MLOps Engineer, Deep Learning Algorithms to join our team. In this role, you'll be responsible for ensuring the development and deployment of deep learning algorithms in a secure and compliant manner.You'll bring a strong background in machine learning, deep learning, artificial intelligence, and software engineering to this position, as well as a deep understanding of the principles of MLOps. You'll be comfortable working with a variety of stakeholders, from developers to product owners, to ensure that the algorithms are optimized for performance and scalability.To be successful in this role, you'll have a passion for using cutting-edge technology to solve complex problems. You'll have an eye for detail and a strong commitment to quality. You'll also have strong communication and interpersonal skills, as well as a strong customer-service orientation.If you have the required qualifications and are ready to join a team of passionate professionals, we'd love to hear from you!

Responsibilities:

  1. Develop and deploy deep learning algorithms in a secure and compliant manner.
  2. Optimize algorithms for performance and scalability.
  3. Work with developers, product owners, and other stakeholders to ensure successful implementation of algorithms.
  4. Monitor algorithm performance and troubleshoot any issues.
  5. Utilize cutting-edge technology to solve complex problems.
  6. Maintain high levels of accuracy and quality.
  7. Provide excellent customer service to internal and external stakeholders.
  8. Stay abreast of industry trends and best practices in MLOps.
Where is this job?
This job opening is listed as 100% remote
Job Qualifications
  • Kafka

  • Deploying

  • • Proven Expertise In Machine Learning

  • Deep Learning And Artificial Intelligence Algorithms

  • Frameworks

  • And Tools

  • • Working Experience In Devops

  • Ci/Cd

  • And Agile Development

  • • Experience In Managing

  • And Monitoring Ml Models In Production Environments

  • • Strong Understanding Of Data Engineering

  • Data Pipelines

  • Feature Engineering

  • And Data Visualization

  • • Knowledge Of Distributed Computing Technologies Such As Apache Spark

  • And Hadoop

  • • Experience With Python

  • Tensorflow

  • And/Or

Required Skills
  • Python

  • Debugging

  • DevOps

  • Deep Learning

  • Cloud

  • CUDA

  • Tensorflow

  • Automation

  • Kubernetes

  • Distributed Computing

  • Data Pipelines

  • Monitoring

  • Neural Networks

  • Mlops

  • Model Management

Soft Skills
  • Communication

  • Decision Making

  • Leadership

  • Negotiation

  • Problem Solving

  • Time management

  • Interpersonal Skills

  • creativity

  • Teamwork

  • Adaptability

Compensation

According to JobzMall, the average salary range for a Senior MLOps Engineer, Deep Learning Algorithms is between $90,000 and $140,000. This range varies depending on experience, qualifications, and the size of the company. Typically, salaries for Senior MLOps Engineers, Deep Learning Algorithms tend to be higher in larger companies and at more prestigious firms. Additionally, salaries may also be dependent on the specific industry in which the job is located.

Additional Information
NVIDIA is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based upon race, religion, color, national origin, sex, sexual orientation, gender identity, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.
Required LanguagesEnglish
Job PostedAugust 28th, 2023
Apply BeforeJanuary 14th, 2026
This job posting is from a verified source. 
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About NVIDIA

NVIDIA Corp. designs and manufactures computer graphics processors, chipsets, and related multimedia software. The company operates through two segments: Graphics Processing Unit and Tegra Processor. The Graphics Processing Unit segment includes sales of the company's GeForce discrete and chipset products that supports desktop and notebook PCs plus license fees from Intel and sales of memory products. The Tegra Processors segment provides processors that deliver superior visual and multimedia experience on tablets, smart phones and gaming devices while consuming minimal power.

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