MLOps Engineer

If you are a self-motivated and results-driven individual with a passion for machine learning and DevOps, we want to hear from you! Join our team at Lobox and be a part of building innovative solutions using the latest technologies

Position: MLOps Engineer

Location: San Francisco, California, United States

Salary: $190000 - $224000

Company: Lobox

Type: Full-time

Introduction: Lobox is seeking a highly motivated and experienced MLOps Engineer to join our dynamic team. As an MLOps Engineer, you will play a critical role in developing, deploying, and maintaining our machine learning models in production. You will work closely with our data scientists and software engineers to ensure the successful implementation and operation of our machine learning solutions.

Responsibilities:

• Design, build, and maintain scalable and efficient machine learning pipelines for production use.
• Collaborate with data scientists and software engineers to deploy machine learning models into production.
• Set up and maintain continuous integration and continuous deployment (CI/CD) pipelines for machine learning projects.
• Implement monitoring and alerting systems for machine learning models in production.
• Conduct performance tuning and optimization of machine learning models.
• Ensure the security and compliance of our machine learning systems.
• Troubleshoot and resolve issues related to machine learning models in production.
• Stay updated with the latest trends and technologies in machine learning and DevOps.

Requirements:

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
• Minimum of 3 years of experience in machine learning engineering, DevOps, or a related field.
• Strong proficiency in programming languages such as Python, Java, or Scala.
• Experience with machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn.
• Hands-on experience with cloud computing platforms such as AWS, Azure, or Google Cloud.
• Familiarity with containerization technologies such as Docker and Kubernetes.
• Knowledge of DevOps tools such as Jenkins, Git, and Ansible.
• Excellent problem-solving and troubleshooting skills.
• Strong communication and collaboration skills.
• Passion for continuous learning and staying up-to-date with new technologies and methodologies.

Benefits:

• Medical insurance
• Competitive salary and benefits package.
• Opportunities for career growth and development.
• Work in a dynamic and collaborative environment.
• Access to cutting-edge technologies and tools.
• Flexible work hours and work-life balance.

Apply now and take your career to the next level!