MLOps Engineer - Remote Position

About the Role

We are seeking a talented MLOps Engineer remote to join Bright Vision Technologies, a forward-thinking software development company dedicated to building innovative solutions that help businesses automate and optimize their operations. As an MLOps Engineer, you will leverage cutting-edge MLOps and cloud engineering practices to operationalize machine learning models at scale. This is a fantastic opportunity to join an established and well-respected organization offering tremendous career growth potential.

What You'll Do

• Design and implement MLOps pipelines for machine learning model deployment and monitoring.
• Collaborate with data scientists to optimize machine learning models and ensure their scalability.
• Utilize tools such as TensorFlow, PyTorch, and MLflow for model management.
• Implement CI/CD pipelines using Docker and Kubernetes for efficient deployment.
• Work with cloud platforms like AWS, Azure, or GCP to manage infrastructure.
• Employ Infrastructure as Code (Terraform) for efficient resource management.
• Conduct coding tests to ensure technical proficiency and confidence in MLOps practices.

Requirements

• 3 to 5 years of real-time experience as an MLOps Engineer.
• Strong knowledge of Python and machine learning pipelines.
• Experience with model deployment and monitoring tools.
• Familiarity with cloud platforms (AWS, Azure, GCP) and container orchestration.
• Proficiency in Git and Agile methodologies.

Nice to Have

• Experience with data versioning and feature stores.
• Knowledge of Linux environments.
• Previous work in a collaborative team setting.

What We Offer

• Competitive salary ranging from $120,000 to $140,000 annually.
• Remote work flexibility, allowing you to work from anywhere in the United States.
• Opportunities for career advancement and professional development.
• Support for H-1B visa sponsorship for qualified candidates.
• A commitment to diversity and inclusion in the workplace.