Junior Machine Learning Engineer @ Patterned Learning Career | Jobright.ai
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Junior Machine Learning Engineer jobs in Kansas City, MO
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Patterned Learning Career ยท 4 days ago

Junior Machine Learning Engineer

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IT System Operations and Maintenance

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Responsibilities

Collaborate with senior engineers and data scientists to understand project requirements and develop machine learning models and algorithms.
Assist in collecting, preprocessing, and analyzing data to uncover patterns and insights.
Implement and optimize machine learning models, algorithms, and pipelines.
Participate in model evaluation, validation, and performance tuning.
Contribute to the development and improvement of existing machine learning infrastructure and frameworks.
Stay up-to-date with the latest advancements in machine learning and actively participate in knowledge-sharing activities within the team.
Collaborate with cross-functional teams to integrate machine learning solutions into production systems.
Document technical processes, methodologies, and outcomes effectively.

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

Machine LearningAlgorithmsStatisticsProgramming Languages PythonProgramming Languages JavaProgramming Languages C++Machine Learning Frameworks TensorFlowMachine Learning Frameworks PyTorchMachine Learning Frameworks scikit-learnData PreprocessingFeature EngineeringModel EvaluationDeep LearningBig Data Processing Tools HadoopBig Data Processing Tools SparkProblem SolvingCommunicationCollaborationSelf-Motivated

Required

Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, or a related field.
Solid understanding of machine learning fundamentals, algorithms, and statistical concepts.
Proficiency in programming languages such as Python, Java, or C++.
Familiarity with machine learning frameworks and libraries, such as TensorFlow, PyTorch, or scikit-learn.
Experience with data preprocessing, feature engineering, and model evaluation techniques.
Knowledge of deep learning architectures and techniques is a plus.
Familiarity with big data processing tools (e.g., Hadoop, Spark) is advantageous.
Strong problem-solving skills and the ability to work on multiple projects simultaneously.
Excellent communication and collaboration skills.
Self-motivated with a strong desire to learn and grow in machine learning.

Company

Patterned Learning Career

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Funding

Current Stage
Early Stage
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Orion

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