Machine Learning Engineer

4 weeks ago

Coral Gables, United States INSPYR Solutions Full time

Title : Machine Learning Engineer

Duration : Direct Hire

Location : Hialeah Gardens

Work Requirements: US Citizen, GC Holders or Authorized to Work in the U.S.

Education And Experience

Requires a Bachelor's or Master's degree in Computer Science, Machine Learning, Data Science, Statistics, or a related field. Two to four (2-4) years of experience in machine learning, data science, or a related role. Strong foundation in machine learning algorithms and concepts (Regression, Classification, Supervised/Unsupervised Learning, Deep Neural Networks, Feature Engineering, etc.) Proficiency in programming languages such as Python (numpy, pandas, scikit-learn, TensorFlow, Matplotlib, Leras) or R (dplyr, ggplot2, caret, xgboost). Basic understanding of cloud services (AWS, Azure, Google Cloud). Experienced understanding preferred. Familiarity with Agile development methodologies and tools, including Scrum and Jira Knowledge of vector databases for efficient data storage and retrieval preferred. Experience with use of the ChatGPT API for integration into applications preferred.

Essential Duties And Responsibilities

Collaborate with cross-functional teams to integrate machine learning solutions into our applications. Prepare datasets for model training and evaluation by analyzing and pre-processing data. Troubleshoot and debug machine learning models as needed. Analyze valuable data sources to uncover trends and patterns. Evaluate model performance metrics and optimize models to achieve best performance. Assist in the development and implementation of machine learning models and algorithms. Participate in Agile development, including Scrum meetings and Jira for task tracking. Stay up to date with the latest advancements in machine learning and artificial intelligence.

Skills And Abilities

Excellent problem-solving and analytical skills. Strong communication and teamwork abilities. Ability to learn new technologies, tools, and frameworks quickly and adapt to changing project requirements.

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