WorkGenius Group
This range is provided by WorkGenius Group. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
Base pay range
$69.40/hr - $69.40/hr Title:
QA Engineer (Automation) III Industry:
Tech Location:
Culver City, CA Duration:
12 months Responsibilities
Design and develop machine learning models and AI algorithms tailored to business needs. Gather, clean, and preprocess large volumes of structured and unstructured data. Analyze data to extract meaningful patterns and insights that inform model development. Train, test, and fine-tune machine learning models to optimize accuracy and efficiency. Deploy machine learning models into production environments and maintain their performance over time. Requirements
Bachelor’s or Master’s degree in Computer Science, Data Science, Artificial Intelligence, Machine Learning, or a related discipline. Proficient in at least one major programming language used in ML, such as Python, R, or Java. Hands-on experience with machine learning libraries and frameworks such as TensorFlow or PyTorch. Solid understanding of machine learning concepts including deep learning, NLP, and computer vision. Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and MLOps tools for model deployment and lifecycle management. Skills
Machine Learning AI Python TensorFlow Data Science NLP Deep Learning Cloud Platforms MLOps Big Data
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$69.40/hr - $69.40/hr Title:
QA Engineer (Automation) III Industry:
Tech Location:
Culver City, CA Duration:
12 months Responsibilities
Design and develop machine learning models and AI algorithms tailored to business needs. Gather, clean, and preprocess large volumes of structured and unstructured data. Analyze data to extract meaningful patterns and insights that inform model development. Train, test, and fine-tune machine learning models to optimize accuracy and efficiency. Deploy machine learning models into production environments and maintain their performance over time. Requirements
Bachelor’s or Master’s degree in Computer Science, Data Science, Artificial Intelligence, Machine Learning, or a related discipline. Proficient in at least one major programming language used in ML, such as Python, R, or Java. Hands-on experience with machine learning libraries and frameworks such as TensorFlow or PyTorch. Solid understanding of machine learning concepts including deep learning, NLP, and computer vision. Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and MLOps tools for model deployment and lifecycle management. Skills
Machine Learning AI Python TensorFlow Data Science NLP Deep Learning Cloud Platforms MLOps Big Data
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