Machine Learning Operations Engineer

If you are passionate about machine learning and have a strong background in data engineering and cloud infrastructure, we would love to have you on our team

Position: Machine Learning Operations Engineer

Location: San Francisco, California, United States

Salary: $190000 - $224000

Job Description: We are seeking a highly skilled and experienced Machine Learning Operations Engineer to join our growing team. In this role, you will be responsible for developing, deploying, and maintaining machine learning models and algorithms in a production environment. You will have a deep understanding of machine learning techniques, data engineering, and cloud infrastructure.

Key Responsibilities:

• Design, develop, and deploy machine learning models and algorithms in a production environment.
• Collaborate with data scientists and software engineers to implement machine learning solutions.
• Develop and maintain machine learning pipelines for data ingestion, feature extraction, model training, and deployment.
• Optimize and fine-tune machine learning models for performance and scalability.
• Monitor and troubleshoot machine learning pipelines and models in production.
• Work closely with cross-functional teams to gather requirements and define technical solutions.
• Develop and maintain cloud infrastructure for machine learning applications.
• Stay updated with the latest advancements in machine learning and implement them in our products.
• Document processes, procedures, and best practices for machine learning operations.

Requirements:

• Bachelor's or Master's degree in Computer Science, Data Science, or related field.
• 3+ years of experience in a machine learning operations role.
• Strong programming skills in Python, Java, or Scala.
• Experience with machine learning libraries such as TensorFlow, PyTorch, or scikit-learn.
• Experience with cloud platforms such as AWS, Azure, or Google Cloud.
• Knowledge of data engineering and big data technologies.
• Familiarity with DevOps practices and tools.
• Excellent problem-solving and troubleshooting skills.
• Strong communication and collaboration skills.
• Ability to work in a fast-paced and dynamic environment.

Join us and be a part of our mission to revolutionize the industry with cutting-edge machine learning solutions.