Lead MLOps Engineer - Azure

We are seeking a Lead MLOps Engineer to lead and support data science teams that utilize artificial intelligence and machine learning to predict and analyze computer vision or customer intent models. The successful candidate will have experience building, deploying, and optimizing machine learning models, and will be able to communicate complex methodologies and analytical results into high-level insights.

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.

Benefits

• Competitive compensation package
• Target base salary range of $140,454 - $158,337
• Performance-based bonuses and other incentives