Technical lead; AWS MLOps

AWS MLOps Data Science Machine Learning, Python

Mandatory

Skills:

DataIKU MLOps (Primary) Data Science Machine Learning Python DatatIKU MLOps certification.

Bachelor's degree in engineering, computer science, mathematics, or related field. At least 5 years of extensive experience in Software Engineering (Python) / Dev Ops/ MLOps framework. Prior experience in delivering data-science projects including operationalizing models in DataIKU environment and putting together an MLOPs framework and best practices for the client. Extensive experience and understanding of the Dataiku DSS MLOPs capability including automated deploying projects and published jobs into Production.

Automate deployment and monitoring of Client models that allow various stakeholders to collaborate on Client projects. Understand/detect model drift, scoring mechanisms in DataIKU and schedule automated retraining, deployment models in production. Understand GIT integration and version control with Data Iku and dev-test-prod approach to update multiple production nodes. Experience in using core analytics methods, Predictive Modeling, Machine Learning, Simulation, and Optimization.

Expertise in a variety of machine learning and statistical techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks. Excellent communication and client facing skills is a must, with good business acumen and hands-on coding experience. Experience in working with clients in the Life sciences, healthcare, especially pharma industry experience. Understanding of the underlying data systems such as AWS Cloud architectures, PySpark, or SQL is a must.

DatatIKU MLOps certification.