Saxon Global
Data Scientist III
Saxon Global, Dallas, Texas, United States, 75215
Title : Data Scientist
Client :Coforge
Location : Dallas, TX (Onsite)
Role: Contract
Required:
knowledge of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and statistical concepts (regression, properties of distributions, statistical tests, etc.).
Solid programming skills 2-3 languages out of
R, SQL, Python, TensorFlow, PySpark, Java, JavaScript or C++.
Experience (minimum 4 out of 7) with deployment of
machine learning and statistical models
on a cloud:
MLOps within the
enterprise CI/CD process for ML models
Experience deploying ML APIs in production environments in GCP using GKE
Experience in using
GCP Vertex AI for ML and BigQuery
Knowledge in Terraform and Containers technologies.
Experience writing data processing jobs using
GCP Dataflow and Dataproc
Experience setting up ML model monitoring and autoscaling for ML prediction jobs
Understanding of machine learning concepts to scale ML across different services by leveraging Feature Store, Artifacts Registry and Analytics Hub
Client :Coforge
Location : Dallas, TX (Onsite)
Role: Contract
Required:
knowledge of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and statistical concepts (regression, properties of distributions, statistical tests, etc.).
Solid programming skills 2-3 languages out of
R, SQL, Python, TensorFlow, PySpark, Java, JavaScript or C++.
Experience (minimum 4 out of 7) with deployment of
machine learning and statistical models
on a cloud:
MLOps within the
enterprise CI/CD process for ML models
Experience deploying ML APIs in production environments in GCP using GKE
Experience in using
GCP Vertex AI for ML and BigQuery
Knowledge in Terraform and Containers technologies.
Experience writing data processing jobs using
GCP Dataflow and Dataproc
Experience setting up ML model monitoring and autoscaling for ML prediction jobs
Understanding of machine learning concepts to scale ML across different services by leveraging Feature Store, Artifacts Registry and Analytics Hub