Collaborate with data engineers and data scientists to build data engineering and preprocessing pipelines to feed machine learning models

Productionize and deploy trained models

Raise APIs, databases and other cloud infrastructure within a client’s environment

Write high-quality, reusable, tested, and comprehensively documented code

Communicate your work effectively to both internal team members and external clients

Qualifications

Python programming skills, particularly using pandas, numpy, scikit-learn, and matplotlib

Object-oriented programming experience

Relational database language (SQL, PostgreSQL) and design experience

AWS/Azure/GCP experience

Ansible, Terraform or other IaaS

Familiar with MapReduce concepts, Spark

Cloud security fundamentals

Experience deploying applications into production environments e.g. code packaging, integration testing, monitoring, release management

Experience in software engineering best practices such as code reviews, testing frameworks, maintainability and readability

Preferred Qualifications

Ability to create cloud architecture diagrams, and experience in a consulting environment

Docker and containerized deployment

Non-relational database knowledge

Automation tools like Jenkins

Experience with streaming data processing such as Kafka or Amazon Kinesis

Experience with linear, decision tree, and neural network-based approaches

Command line scripting

API deployment, e.g. Flask + webserver of choice

Scala experience