Lead MLOps Engineer - Azure

Logic20/20 Inc. • Seattle, WA

5h • $140,454 - $158,337

About The Position

Logic20/20 is seeking a Senior MLOps Engineer to support data science teams utilizing artificial intelligence and machine learning to predict and analyze computer vision or customer intent models. This is an exciting opportunity to make an impact by leveraging AI and ML techniques to create production-level systems through the application of machine learning models.

Requirements

• 10-15 years of experience as a machine learning (MLOps), data, and/or software engineer using Python in a production environment
• Experience building, deploying, and optimizing machine learning models.
• Strong experience with Azure ML and Databricks/MLflow.
• Strong experience with Terraform and Kubernetes.
• Experience building and managing robust CI/CD pipelines for machine learning workflows, including model training, evaluation, and deployment.
• Knowledge of professional enterprise software development and practices, including software lifecycle, best coding practices, version control, architecture, testing, and deployment.
• Familiarity with popular machine learning libraries and frameworks, including TensorFlow, Keras, etc.
• Experience with GitHub.
• Experience building data pipelines.

Nice To Haves

• Experience developing and deploying image models.
• Master's degree/PhD in computer science or related field.
• Consulting experience.

Responsibilities

• Create frameworks to predict a variety of outcomes in different scenarios
• Create models of customer satisfaction that provide detailed insight into what causes a customer to take different actions
• Collaborate with other data scientists and stakeholders on projects
• Develop solutions in Python
• Develop production-grade solutions
• Work in Hadoop, Redshift, and Spark
• Translate business and product questions into analytics projects
• Communicate clearly over written and oral channels while translating complex methodologies and analytical results into high-level insights

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level