| Machine Learning Engineer at Remote, Remote, USA |
| Email: [email protected] |
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https://jobs.nvoids.com/job_details.jsp?id=233118&uid= From: Darshana Sakroo, LiveMindz [email protected] Reply to: [email protected] Machine Learning Engineer Onsite / Hybrid 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 https://jobs.nvoids.com/job_details.jsp?id=233118&uid= |
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| 06:21 PM 23-Dec-22 |