Job details
Job details
MLOps Engineer
Lobox
Information Technology & Services
South San Francisco, CA, United States
0Applicants0Views10Skills1 month agoCreated
MLOps Engineer
Lobox
Information Technology & Services
South San Francisco, CA, United States
0Applicants0Views10Skills1 month agoCreated
Overview
Category
Information Technology & Services
Workplace
Remote
Job type
Full-time
Experience level
Middle level
Tax term
Information Technology & Services
Location
South San Francisco, CA, United States
Details
If you are passionate about machine learning and have a strong background in MLOps, we would love to hear from you! Join our team and be part of a company that is revolutionizing the industry with its innovative approach to machine learning.
Position: MLOps Engineer
Location: San Francisco, California, United States
Salary: $190000 - $224000
Employment Type: Full-time
About the Role: We are seeking a highly skilled and experienced MLOps Engineer to join our dynamic team. As an MLOps Engineer, you will be responsible for implementing and managing our Machine Learning Operations (MLOps) infrastructure, ensuring the seamless deployment and maintenance of our machine learning models. You will work closely with our data scientists, software engineers, and DevOps team to ensure the successful implementation of our machine learning models in production.
Key Responsibilities:
- Design, implement, and maintain our MLOps infrastructure, including data pipelines, model training, and deployment processes.
- Collaborate with data scientists and software engineers to ensure successful integration of machine learning models into the production environment.
- Develop and maintain monitoring and alerting systems to ensure the performance and reliability of our machine learning models.
- Troubleshoot and resolve any issues related to the MLOps infrastructure, data pipelines, or deployed models.
- Continuously improve and optimize the MLOps infrastructure to ensure scalability and efficiency.
- Stay up-to-date with the latest technologies and trends in MLOps, and propose innovative solutions to enhance our machine learning capabilities.
- Mentor and train junior members of the team on MLOps best practices and processes.
Qualifications:
- Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
- Minimum of years of experience in MLOps or a similar role.
- Solid understanding of machine learning concepts and techniques.
- Extensive experience with data pipeline tools such as Apache Airflow, Luigi, or similar.
- Proficiency in programming languages such as Python, Java, or Scala.
- Experience with cloud platforms such as AWS, GCP, or Azure.
- Strong knowledge of DevOps practices and tools.
- Excellent problem-solving and troubleshooting skills.
- Ability to work in a fast-paced, agile environment.
- Strong communication and collaboration skills.
We Offer:
- Competitive salary and benefits package.
- A collaborative and supportive work environment.
- Opportunities for career growth and development.
- Cutting-edge technology and tools.
- Work-life balance and flexible working hours.
Hashtags
#mlops
#sanfrancisco
#mlopsengineer
#engineer