| Urgent Requirement for Machine Learning Developer - Sunnyvale, CA/ Austin, TX - Hybrid Locals Only at Sunnyvale, California, USA |
| Email: [email protected] |
| Hi , We have a job opportunity for you, please find the below details and let me know your interest ASAP. Role: Machine Learning Developer Location: Sunnyvale, CA/ Austin, TX Duration: Long Term Contract Responsibilities: Traditional AI 9+ Years experience in implementing ML solutions in the area of Time Series Modelling, Natural Language Processing, Computer Vision etc. Understanding of different supervised and unsupervised learning algorithms - Random Forest, Boosted Trees, Linear Regression, SVM etc. NLP Techniques Entity Recognition Text Classification Topic Modelling Time Series Modelling Anomaly Detection Forecasting Good Problem-Solving abilities and proficiency in Statistical Concepts Problem Solving and Statistical Concepts Good understanding of MLOps Architectures and Components Concepts of Data Engineering and Data Management including Data Lake architectures Log Management in Splunk Generative AI. Understanding of Generative AI and GPTs Good Understanding of LLM concepts (RAG, Prompting, Few Shot Prompting, SFT etc.) Experience in designing and building RAG Implementations Exposure evaluating Open source LLM Models Experience implementing solutions leveraging LLMs ML Frameworks Scikit Learn,Pytorch/tensorflow/Keras/RASA/LangChainCloud/DevOpsGit,CI/CD/Docker/KubernetesAWS/GCPProgramming Language-Python Digital : Amazon Web Service(AWS) Cloud Computing, Digital : Machine Learning SUBMISSION DETAILS LinkedIn: Consultant Name: Current Location: Relocation (Yes/No): Highest Qualification: Year/College/University: Passport number: Thanks & Regards Narsimha Kathi iTechUS, Inc Direct: 802-735-0270 Phone: 802-383-1500 Ext 141 Keywords: continuous integration continuous deployment artificial intelligence machine learning California Texas Urgent Requirement for Machine Learning Developer - Sunnyvale, CA/ Austin, TX - Hybrid Locals Only [email protected] |
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| Wed Jul 24 19:30:00 UTC 2024 |