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AI ML Data analytics: Hybrid Remote day 1 : 65 per HR at Remote, Remote, USA
Email: [email protected]
From:

Jay,

Brillius

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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

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