100% Remote role for Data Science or Machine Learning Engineer , interview for sure

Role: Data Scientist or Machine Learning Engineer

Location: Remote

12 months

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 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.

DatatIKU MLOps certification.

Regards,

Mayank Gupta

Sr IT Recruiter

F: 248.254.7211|Email:-  mgupta@tekshapers.com  |
<http://www.tekshapers.com/> www.tekshapers.com

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