Salary
💰 $214,800 - $268,500 per year
Tech Stack
AirflowApacheAWSAzureCloudDistributed SystemsDockerGoGoogle Cloud PlatformHadoopKubernetesNoSQLPythonPyTorchScikit-LearnSparkTensorflowTerraform
About the role
- We are looking for a Principal AI Engineer to design, build, and scale the core platform enabling AI-driven products
Act as technical leader and architect foundational systems and tools for ML model lifecycle
Mentor others and set technical vision for operationalizing AI across League
Ensure platform is robust, secure, and performant
Establish standards for performance, security, data governance, and reliability
Continuously evaluate new technologies and tools to improve AI platform
Requirements
- Extensive hands-on experience in software engineering and a strong understanding of the entire machine learning lifecycle
Proven ability to design and build scalable, distributed systems
Demonstrated experience with MLOps tools and practices, including CI/CD for machine learning, model versioning, and feature stores
Expert-level proficiency in Python and familiarity with Go
Experience with big data processing platforms like Apache Spark, Apache Beam, Hadoop
Familiarity with TensorFlow, PyTorch, scikit-learn
Expertise with AWS and/or GCP
Experience with Kubeflow, MLflow, or AWS SageMaker
Experience with Airflow or similar
Expertise in Docker and Kubernetes
Hands-on experience with Terraform
Experience with relational and NoSQL databases, data warehousing and streaming technologies