You will design, develop, and monitor machine learning, deep learning, and NLP models in a production environment.
Responsibilities
Design and develop machine learning, deep learning, and NLP models.
Extract meaningful insights from raw data through visualization and analysis.
Build scalable models for production using big data workloads.
Deploy models using cloud-native ML solutions on AWS and Azure.
Handle big data engineering tasks to support model production.
Required Skills
5+ years of progressive experience in data science or a related field.
Master’s degree in Computer Science, Computer Information Systems, IT, Electrical/Electronics Engineering, or a related engineering field; or Bachelor’s degree with 5+ years experience.
Proficiency in Python and SQL.
Experience with Scikit-learn, Keras, and PyTorch.
Ability to work with big data frameworks like Spark.
Experience with data visualization tools such as Tableau.
Hands-on experience deploying models on AWS and Azure.
Ability to travel to unanticipated client sites as required.