Database skills – MySQL, PostgreSQL, SQLite (should be strong in oneamong them)
Enjoy building products that are generic and can cater to multiple tenants, through appropriate parameterization/abstraction
Be excited to work in a startup environment and take end-to-end responsibilities working with the co-team members
Write clean, maintainable, and well-tested code
Engage in the full development life-cycle including architectural design and testing
Solid understanding of distributed systems – Microservices/Reactive architecture, event driven systems, NoSQL databases, queues, caching, docker containers, etc.Good to have:
Have demonstrated passion and enthusiasm for Machine Learning through projects, products, etc. Ability to develop new ML models and frameworks from scratch
Understanding of Deep Learning and ML algorithms such as Gradient Boosting, Random Forest, SVM etc
Prior experience with ML libraries such as TensorFlow, Keras, PyTorch, Spark-MLLib will be a plus
Experience working with Kubernetes, AWS/Azure/GCE managed services
Good to have:
Have demonstrated passion and enthusiasm for Machine Learning through projects, products, etc. Ability to develop new ML models and frameworks from scratch
Understanding of Deep Learning and ML algorithms such as Gradient Boosting, Random Forest, SVM etc
Prior experience with ML libraries such as TensorFlow, Keras, PyTorch, Spark-MLLib will be a plus
Experience working with Kubernetes, AWS/Azure/GCE managed services
Typical Education background:
Computer Science & Engineering.
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