We have an opportunity for Technical lead (AWS MLOps) with one of our clients in Chicago, IL.
Please see the job details below and let me know if you would be interested in this role.
If interested, please send me a copy of your resume, your contact details, your availability and a good time to connect with you.
Title: Technical lead (AWS MLOps)
Location: Chicago, IL
Terms: Contract
Job Details:
Mandatory Skills
AWS MLOps (Primary) Data Science Machine Learning, Python
Mandatory Skills
DataIKU MLOps (Primary)
Data Science
Machine Learning
Python
DatatIKU MLOps certification.
Detailed JD
Bachelor's degree in engineering, computer science, mathematics, or related field.
At least 5 years of extensive experience in Software Engineering (Python) / DevOps/ MLOps framework.
Prior experience in delivering data-science projects including operationalizing models in the 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 ML models that allow various stakeholders to collaborate on ML projects.
Understand/detect model drift, scoring mechanisms in DataIKU and schedule automated retraining, deployment models in production.
Understand GIT integration and version control with DataIku 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.