AI ML Data analytics: Hybrid Remote day 1 : 65 per HR at Remote, Remote, USA |
Email: [email protected] |
From: Jay, Brillius [email protected] Reply to: [email protected] Loc :FL, hybrid, AMEX, rate $65 Work Experience:+ 7-10 year of experience in Data Analytics and Machine Learning Engineering + Academic+ Bachelor degree in a technical field such as computer science, computer engineering or related field required + Involved with research/experimentation activities with research activities as patent filling, community developments, collaboration etc + Expertise in machine learning spanning supervised and/or unsupervised learning methods and applying ML to real-world problems + Broad knowledge of ML techniques such as Time Series algorithms, Levenshtein distance fuzzy wuzzy algorithm, Decision Tree Ensembles, Neural Networks, Clustering + Experience with BERT Transformer model will be plus + Experience with deep learning frameworks such as PyTorch, Tensorflow, Keras+ Experience using machine learning libraries or platforms, including Tensorflow, Scikit-Learn, or MLFlow for production or commercial products+ Experience in Natural Language Processing + Ability to program in one or more scripting languages such as Python and one or more programming languages such as Java or Scala+ Independent, self-driven person with a high sense of accountability+ Excellent problem solving and data analysis skills Effective communication skills, both verbal and written, and a great team player+ Proficiency in designing & solving classification/prediction problems+ Proficiency in data manipulation using Spark or Python tools such as Pandas, NumPy etc + Awareness on Docker containerization and managing CI-CD pipeline Keywords: continuous integration continuous deployment machine learning |
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Mon Dec 19 23:43:00 UTC 2022 |