University of Southern Mississippi
Artificial Intelligence/Machine Learning (AI/ML) Engineer
University of Southern Mississippi, Gulfport, Mississippi, United States, 39500
Artificial Intelligence/Machine Learning (AI/ML) Engineer
The University of Southern Mississippi is currently accepting applications for the position of Artificial Intelligence/Machine Learning (AI/ML) Engineer.
Location:
Marine Research Center 1030 West Pier, Port of Gulfport Gulfport, Mississippi, 39501 United States
Division:
Ocean Enterprise
Position Type:
Staff
Employment Status:
Full Time
Grant Funded:
Yes
Salary Range:
85,349.00 - 115,000.00
Pay Grade:
E16
Posting Close Date:
February 1, 2026
Special Instructions to Applicants Applicants must be currently authorized to work in the United States on a full-time basis without the need for visa sponsorship. The University will not sponsor applicants for work visas (e.g., H-1B).
Job Summary This is an early to mid-career role that will require the incumbent to design, build and maintain machine learning (ML) models focusing on making AI models practical and scalable for real-world applications, often bridging the gap between data science and software engineering. The position is located at the USM Roger F. Wicker Center for Ocean Enterprise.
Primary Duties and Responsibilities
Design, develop, and optimize machine-learning models for diverse business and research applications.
Collaborate with data scientists, software engineers, and product teams to integrate ML models into production systems and ensure scalability.
Lead data preparation efforts, including preprocessing, feature engineering, and exploratory data analysis to support model development.
Evaluate and refine models using appropriate metrics, improving accuracy, efficiency, and robustness against real-world data challenges.
Maintain and enhance ML pipelines and infrastructure, ensuring reliability, reproducibility, and continuous improvement.
Stay current with AI/ML research and apply emerging methods to solve complex practical problems.
Translate research into practice by collaborating with principal investigators and research teams, and assisting in preparing technical reports, visualizations, and academic publications.
Document models, processes, and codebases to ensure transparency, reproducibility, and effective knowledge sharing across teams.
Minimum Qualifications Bachelor's degree from an accredited college or university in Computer Science, Data Science, Engineering or a related field and 6 years of experience or a Master’s Degree from an accredited college or university in Computer Science, Data Science, Engineering or a related field and 4 years of experience. Demonstrated experience working in the full lifecycle of an ML Model. U.S. Citizenship with the ability to obtain a Government clearance. A valid driver’s license and eligibility to receive a Trusted Worker Identification Card (TWIC).
Knowledge, Skills & Abilities
Proficiency in Python and ML libraries such as scikit-learn, TensorFlow, PyTorch, and XGBoost.
Experience with data manipulation tools like Pandas, NumPy, and SQL.
Familiarity with cloud platforms such as AWS, Azure, or Google Cloud (especially services like SageMaker, Vertex AI, etc.).
Experience with model deployment tools and frameworks (e.g., Docker, FastAPI, Flask, MLflow).
Strong understanding of supervised and unsupervised learning, neural networks, NLP, and computer vision.
Experience with version control systems (e.g., Git) and CI/CD pipelines.
Excellent problem-solving skills and ability to work independently and in teams.
Preferred Qualifications
Experience with MLOps practices and tools.
Familiarity with big data technologies (e.g., Spark, Hadoop).
Knowledge of data visualization tools (e.g., Matplotlib, Seaborn, Plotly).
Contributions to open-source projects or published research in AI/ML.
Proficiency in programming languages like C, Java, C++ and Python.
The University of Southern Mississippi is an equal opportunity employer, and all qualified applicants will receive consideration for employment. EOE/VETS/DISABILITY.
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Location:
Marine Research Center 1030 West Pier, Port of Gulfport Gulfport, Mississippi, 39501 United States
Division:
Ocean Enterprise
Position Type:
Staff
Employment Status:
Full Time
Grant Funded:
Yes
Salary Range:
85,349.00 - 115,000.00
Pay Grade:
E16
Posting Close Date:
February 1, 2026
Special Instructions to Applicants Applicants must be currently authorized to work in the United States on a full-time basis without the need for visa sponsorship. The University will not sponsor applicants for work visas (e.g., H-1B).
Job Summary This is an early to mid-career role that will require the incumbent to design, build and maintain machine learning (ML) models focusing on making AI models practical and scalable for real-world applications, often bridging the gap between data science and software engineering. The position is located at the USM Roger F. Wicker Center for Ocean Enterprise.
Primary Duties and Responsibilities
Design, develop, and optimize machine-learning models for diverse business and research applications.
Collaborate with data scientists, software engineers, and product teams to integrate ML models into production systems and ensure scalability.
Lead data preparation efforts, including preprocessing, feature engineering, and exploratory data analysis to support model development.
Evaluate and refine models using appropriate metrics, improving accuracy, efficiency, and robustness against real-world data challenges.
Maintain and enhance ML pipelines and infrastructure, ensuring reliability, reproducibility, and continuous improvement.
Stay current with AI/ML research and apply emerging methods to solve complex practical problems.
Translate research into practice by collaborating with principal investigators and research teams, and assisting in preparing technical reports, visualizations, and academic publications.
Document models, processes, and codebases to ensure transparency, reproducibility, and effective knowledge sharing across teams.
Minimum Qualifications Bachelor's degree from an accredited college or university in Computer Science, Data Science, Engineering or a related field and 6 years of experience or a Master’s Degree from an accredited college or university in Computer Science, Data Science, Engineering or a related field and 4 years of experience. Demonstrated experience working in the full lifecycle of an ML Model. U.S. Citizenship with the ability to obtain a Government clearance. A valid driver’s license and eligibility to receive a Trusted Worker Identification Card (TWIC).
Knowledge, Skills & Abilities
Proficiency in Python and ML libraries such as scikit-learn, TensorFlow, PyTorch, and XGBoost.
Experience with data manipulation tools like Pandas, NumPy, and SQL.
Familiarity with cloud platforms such as AWS, Azure, or Google Cloud (especially services like SageMaker, Vertex AI, etc.).
Experience with model deployment tools and frameworks (e.g., Docker, FastAPI, Flask, MLflow).
Strong understanding of supervised and unsupervised learning, neural networks, NLP, and computer vision.
Experience with version control systems (e.g., Git) and CI/CD pipelines.
Excellent problem-solving skills and ability to work independently and in teams.
Preferred Qualifications
Experience with MLOps practices and tools.
Familiarity with big data technologies (e.g., Spark, Hadoop).
Knowledge of data visualization tools (e.g., Matplotlib, Seaborn, Plotly).
Contributions to open-source projects or published research in AI/ML.
Proficiency in programming languages like C, Java, C++ and Python.
The University of Southern Mississippi is an equal opportunity employer, and all qualified applicants will receive consideration for employment. EOE/VETS/DISABILITY.
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