



- Requirements:
● Energetic self-starter, with a desire to work in a startup environment.
● Proficient in advanced Java and Python programming skills.
● Expert in Application development cloud/on premise end to end. Middle layer, DB layer.
● Nice to have understanding on MQ (e.g. Kafka)
● Good hands on in Complex Event Processing systems.
● Solved scale and performance issues while dealing with huge sets of data. Pre compute or data aggregation frameworks to achieve good response time.
● Experience working with large datasets and NoSQL database technologies (e.g. Cassandra, ES)
● Experience of debugging applications running on Unix like systems (e.g. Ubuntu, CentOS)
● Experience developing RESTful APIs for complex data sets
● Knowledge of container based development & deployment (e.g. Dockers, K8s)
● Knowledge of linear algebra and machine learning fundamentals
● Knowledge of python+gpu ml stack (e.g. scikit, numpy, scipy, jax etc.)
● Expertise deploying machine learning and deep learning models in production, strongly desired
● Experience with tensorflow, tensorflow-serving and related machine learning model deployment frameworks, strongly desired
● Advanced degree in machine learning, a plus

