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Senior Python developer with ML experience.

mountain view, ca • Posted 3 days ago
Onsite Full Time General

Senior Python Developer with ML ExperienceLocation: Mountain View, CA, onsite requiredMinimum Qualifications:BA/BS in Computer Science or Computer Engineering or equivalent technical degreeFamiliarity with GitHub and open-source softwareMust be able to recognize potential issues, and compose technical communications in GitHubExperience working with Windows, MacOS, and Ubuntu environmentsExcellent written and oral communication skillsBeing a team player with a positive attitude and people skillsOpen to learning new internal technical toolsExperience with Python (see below)Preferred Qualifications:Masters degree/PhD in Computer Science & Data Science/AI ML or a related technical field or equivalent practical experience2 years of work or educational experience in Machine Learning or Artificial IntelligenceExperience with one or more additional general purpose programming languages including but not limited to: Java (ideal), Go, or C/C++Prerequisites:Python Skills:Python installation, environment setup and Jupyter NotebookObject and Data Structures basicsComparison Operators and StatementsMethods and FunctionsErrors and Exception handlingBuilt-in functions and Python GeneratorsUsing scientific Python libraries numpy, pandas, matplotlib, scikit-learnUse data visualization with PythonML Knowledge:Familiarity and experience with the following ML concepts, including: Overview of ML explaining life cycle like Data Acquisition->Cleaning->Training a model->Testing a model->Evaluating a modelStrong debugging skills on C++/Python codeBasic jargons of ML which include Cost functions, Gradient Descent, Back Propagation, Activation functions etcSupervised, Unsupervised, Reinforcement learning Classifications and RegressionUsing DatasetsTypes of algorithms like Decision Tree, K means etcImporting data in python, clean, preprocess data and manipulate data frames with pandasNeural networks, CNN, RNN/LSTMFamiliarity with LLMs and generative AI, including prompt engineering, LLM evaluation of model outputs, and concepts such as a judge model and final verdict

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