Software Engineer II, Machine Learning

Responsibilities

• Build tools and infrastructure to democratize ML
• Productionizing ML models in collaboration with the Data Science and other Engineering teams.
• Maintain and support existing platforms and evolve to newer technology stacks and architectures.

Desired Skills & Experience

• 2-3 years of relevant software engineering experience with data intensive applications
• Good understanding of data science concepts and machine learning lifecycle
• Good understanding of spark and sql and prior experience with writing backend APIs
• Flexible and open to trying out newer technologies and adopting them as and when needed.

Technologies We Use

• Flask
• Docker
• Kubernetes
• Redis
• Redshift
• MongoDB
• Kafka
• RabbitMQ
• Kinesis
• sklearn
• pyTorch
• Tensorflow
• Mlflow
• Sagemaker
• Kibana
• Airflow