Deep Learning Data Engineer

Job Title: Deep Learning Data Engineer (MLOps)

Location: Santa Monica, CA

This role is at a computer vision company that provides advanced solutions for businesses in various industries. Our cutting-edge technologies help our clients optimize their operations, improve customer experiences, and increase revenue. We are a dynamic and rapidly growing company, and we are looking for talented individuals to join our team in Santa Monica.

Job Description:

We are seeking an experienced MLOps Engineer to join our team and help us build and manage our machine learning infrastructure. In this role, you will be responsible for developing and deploying scalable, reliable, and efficient machine learning models that power our computer vision solutions. You will work closely with our data scientists, software engineers, and project managers to ensure that our models are running smoothly and meeting the needs of our clients.

Responsibilities:

• Build and maintain our machine learning infrastructure, including data pipelines, model training and testing, and model deployment
• Develop and implement best practices for machine learning workflow and data management
• Collaborate with data scientists and software engineers to ensure efficient, scalable, and reliable machine learning models
• Monitor and optimize model performance and scalability
• Develop and maintain documentation for machine learning infrastructure and processes
• Stay up-to-date with the latest trends and technologies in MLOps and computer vision

Requirements:

• Master's or PhD degree in Computer Science, Data Science, or a related field
• 3+ years of experience in MLOps, machine learning, or software engineering
• Experience with cloud platforms, such as AWS, GCP, or Azure
• Proficiency in Python
• Experience with containerization and orchestration technologies, such as Docker and Kubernetes
• Experience with computer vision technologies
• Excellent communication and collaboration skills

If you are passionate about building and deploying cutting-edge machine learning models, and you thrive in a fast-paced and collaborative environment, we would love to hear from you. Please apply with your resume and two professional references.