| Looking For Machine Leaning Consultants at Texas City, Texas, USA |
| Email: [email protected] |
| From: Mohammad Azhar, Softcom Systems Inc [email protected] Reply to: [email protected] Hello Professionals, This Azhar Mohammad from Softcom Systems INC. I have a below Job Opportunity if you have any Consultants Please let me know!! Job Title: Machine Leaning Location: Texas City, TX 77591 Job Details: Required Qualifications 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: 1. MLOps within the enterprise CI/CD process for ML models 2 years minimum 2. Experience deploying ML APIs in production environments in GCP using GKE 2 years minimum 3. Experience in using GCP Vertex AI for ML and Big Query 1 year minimum 4. Knowledge in Terraform and Containers technologies 2 years minimum 5. Experience writing data processing jobs using GCP Dataflow and Dataproc 2 years minimum 6. Experience setting up ML model monitoring and autoscaling for ML prediction jobs 1 year minimum 7. Understanding of machine learning concepts to scale ML across different services by leveraging Feature Store, Artifacts Registry and Analytics Hub 1 year minimum Desirable Qualifications Familiarity with airline, hospitality or retailing industries and decision support systems employed there. Experience developing customer choice models, price elasticity estimation and market potential estimation. Understanding of airline distribution, pricing, revenue management, NDC and Offer/Order Management concepts. Thanks Regards: Azhar Mohammad Softcom Systems Inc. Email: [email protected]; Keywords: cplusplus continuous integration continuous deployment artificial intelligence machine learning |
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| Wed Nov 23 00:35:00 UTC 2022 |