Required skills/Experience:
Proficiency working with Python, JavaScript programming language is a must
Experience deploying production applications to AWS cloud is a must
Experience with cloud environments, serverless architecture, SQL/NoSQL databases, containers (Docker)
Experience setting up and optimizing DBs for production usage for ML systems
Knowledgeable in developing and consuming APIs and micro-services to facilitate data access, business logic, and workflows
Experience building and deploying end-to-end systems using either in-house infrastructure or cloud ML environments e.g. SageMaker
Preferred Experience:
Experience with AWS infrastructure (EC2, S3, Lambda, Batch)
Experience with Postgres, DynamoDB, and ElasticSearch
Knowledge of Data Science and Machine Learning topics is a plus.
The candidate is not expected to build the DS/ML models, but clearly understanding the requirements of data scientists while building/automating data pipelines is crucial
Experience with the Vue.js front-end framework
Experience with the NodeJS Express API framework
Experience with Git and GitHub: Branching, merging, pull requests, etc.
Any Graduate