Must Have: 

• Be sharp at Algorithm Design and Complexity Analysis, solving new problems with ease with effective and computationally efficient methods 
• Enjoy programming and be comfortable with Object Oriented Programming in Python 
• Eager to quickly learn new concepts, languages, tools and technologies as required 
• 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 

Typical Education background: 

• Computer Science & Engineering.