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Job Description: ute to knowledge sharing in AI/ML development practices.


 Qualifications

Bachelor’s degree in Computer Science, Data Science, Artificial Intelligence, or a related field + 10 years of experience; a master’s degree preferred.
A bachelor’s degree with an additional three (3) or more years of relevant experience may substitute for a master’s degree.
Minimum of five (5) years of directly related experience in AI/ML development, data science, or applied analytics.


 
Required Skills

3+ years of experience developing and optimizing solutions using Python or similar, with a strong focus on performance, scalability, and efficiency.
Extensive experience working with vector technology databases, designing and implementing solutions to efficiently store, search, and analyze high-dimensional data for real-time and large-scale applications.
Hands-on experience with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn).
Strong programming skills in Python, Java, or R; experience with APIs and integration into production systems.
Knowledge of data preprocessing, feature engineering, model evaluation, and deployment pipelines.
Familiarity with cloud platforms (AWS, Azure, GCP) for AI/ML workloads.
Excellent analytical, problem-solving, and critical-thinking skills.
Strong communication and collaboration skills, with the ability to work with cross-functional teams.
Experience mentoring or guiding less experienced AI/ML engineers is a plus.

Featured benefits