Mississippi INBRE · 3 hours ago
Artificial Intelligence/Machine Learning (AI/ML) Engineer
Gulfport, MS, US
Full-time
Onsite
Mid, Senior Level
$85K/yr - $115K/yr
4+ years expThe University of Southern Mississippi is currently accepting applications for the position of Artificial Intelligence/Machine Learning (AI/ML) Engineer. This role involves designing, building, and maintaining machine learning models to make AI models practical and scalable for real-world applications.
Research
No H1B
Security Clearance RequiredU.S. Citizen Only
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
Qualification
Required
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)
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
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
Company
Mississippi INBRE
Mississippi IDeA Network of Biomedical Research Excellence (Mississippi INBRE), directed by Dr.
2-10 employees
Funding
Current Stage
Early StageCompany data provided by crunchbase