Data Science engineer at Remote, Remote, USA |
Email: [email protected] |
From: Tapan Patel, Veridian tech solution [email protected] Reply to: [email protected] Job Title:-Data Science engineer. Location:-Dallas TX(Onsite from Day 1) Role- Contract Required Qualifications Advanced Degree in Statistics, Operations Research, Computer Science, Mathematics, or Machine Learning. Proven ability to apply modeling and analytical skills to real-world problems. 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 2 years Experience deploying ML APIs in production environments in GCP using GKE 2 years Experience in using GCP Vertex AI for ML and Big Query 1 year Knowledge in Terraform and Containers technologies 2 years Experience writing data processing jobs using GCP Dataflow and Datapost 2 years Experience setting up ML model monitoring and autoscaling for ML prediction jobs 1 year Understanding of machine learning concepts to scale ML across different services by leveraging Feature Store, Artifacts Registry and Analytics Hub 1 year Keywords: cplusplus continuous integration continuous deployment artificial intelligence machine learning rlang Texas |
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Mon Jan 29 21:45:00 UTC 2024 |