AI/ML Engineering Intern - (Baton Rouge, LA/Frederick, MD)

ADP, Inc.; Baton Rouge (LA); On-site; USD 25,000 - 39,000; Full time

Job summary

Bascom Hunter is seeking an AI/ML Engineering Intern in Baton Rouge, LA to support model development, optimization, deployment, and productization for aerospace and defense applications. You will work on full ML lifecycle tasks from data prep to evaluation, enabling edge deployment and scalable inference solutions.

This paid internship offers exposure to modern ML tools, MLOps practices, and opportunities to contribute across multiple domains, including computer vision, RF data, and sensor

Qualifications

• Pursuing a Bachelor's or Master's degree in Computer Science, Computer Engineering, Electrical Engineering, Data Science, AI/ML, Mathematics, or related field.
• Experience programming in Python.
• Understanding of fundamental ML concepts: training, validation, testing, and evaluation.
• Familiarity with at least one ML framework such as PyTorch or TensorFlow.
• Strong analytical, mathematical, and problem-solving skills.
• Ability to work with technical datasets and interpret experimental results.
• Self-motivated with interest in emerging tech.
• Strong written and verbal communication and teamwork skills.

Responsibilities

• Develop, train, evaluate, and improve custom ML models for aerospace, defense, and engineering applications.
• Optimize and prune models for edge deployment and resource-constrained hardware.
• Convert and deploy models using ONNX; explore integration into non-Python environments.
• Gain experience with neuromorphic computing approaches such as BrainChip Akida frameworks.
• Use ML tooling (MLflow, DVC, MinIO) for experiment tracking and data management.
• Develop inference microservices and transition prototypes to scalable, high-performance apps (Go, Rust).
• Implement testing and software engineering practices to improve reliability of AI/ML apps.
• Containerize applications with Docker and deploy in Kubernetes-based environments.
• Explore computer vision, RF, SAR, and sensor datasets for defect detection and analysis.
• Document model development, experiments, results, deployment processes, and findings.

Skills

Python programming

PyTorch

TensorFlow

Analytical skills

Team collaboration

Education

Bachelor's or Master's in CS/CE/EE/Data Science

Tools

ONNX

MLflow

DVC

MinIO

Docker

Kubernetes

Job description

If you are unable to complete this application due to a disability, contact this employer to ask for an accommodation or an alternative application process.

Intern Baton Rouge, Baton Rouge, LA, US

3 days ago Requisition ID: 1148

Bascom Hunter is seeking an AI/ML Engineering Intern to support the development, optimization, deployment, and productization of machine learning models for aerospace and defense applications. The intern will gain hands-on experience developing custom models, optimizing models for edge deployment, building scalable inference solutions, and developing the infrastructure needed to move machine learning capabilities from experimentation toward deployable systems.

This position provides exposure to the full machine learning lifecycle, including data preparation, model development and training, optimization, deployment, MLOps, inference, and performance evaluation.

Bascom Hunter provides custom solutions to the Department of Defense and aerospace markets, with capabilities spanning advanced electronics, communications, RF systems, environmental control, thermal management, power, and other mission-critical technologies.

Key Responsibilities:

• Custom Model Development: Develop, train, evaluate, and improve custom machine learning models for a variety of aerospace, defense, and engineering applications.
• Model Optimization and Pruning: Evaluate and apply model pruning and other optimization techniques to reduce model size and computational requirements for deployment on resource-constrained and edge computing hardware.
• Model Generalization and Productization: Convert and deploy models using formats and frameworks such as ONNX and explore how trained models can be incorporated into applications outside of Python environments.
• Neuromorphic Computing: Gain experience with the BrainChip Akida framework and explore approaches for adapting different machine learning use cases and data types to neuromorphic computing architectures.
• AI/ML Tooling: Use industry-standard tools for experiment tracking, dataset management, model versioning, and ML workflows, including DVC, MinIO, MLflow, and similar technologies.
• Inference and Microservices: Develop inference microservices and transition experimental Python implementations toward scalable, high-performance applications using languages such as Go or Rust.
• Test-Driven Development: Apply testing and software engineering practices to improve the reliability and repeatability of AI/ML applications and inference services.
• Containers and Infrastructure: Build and deploy containerized applications using Docker and develop solutions capable of operating across scalable environments and workflows.
• Scalable Deployment: Gain exposure to technologies such as Kubernetes and other tools used to orchestrate containerized AI/ML workloads.
• Computer Vision and Defect Detection: Explore machine learning applications for manufacturing defect detection, materials analysis, image classification, and other computer vision use cases.
• Multi-Domain Data Analysis: Investigate machine learning approaches for image, RF, spectrogram, synthetic aperture radar (SAR), sensor, and other technical datasets.
• AI/MLOps: Develop automation for monitoring model and data drift, ingesting new data, retraining models, evaluating candidate replacements, and comparing model performance.
• Edge AI: Evaluate methods for deploying machine learning models on specialized and resource-constrained computing architectures.
• Research and Experimentation: Research emerging AI/ML technologies, architectures, tools, and techniques and evaluate their applicability to aerospace and defense applications.
• Document model development, experiments, performance results, deployment processes, and technical findings.

Qualifications:

• Pursuing a Bachelor's or Master's degree in Computer Science, Computer Engineering, Electrical Engineering, Data Science, Artificial Intelligence, Machine Learning, Mathematics, or a related field.
• Experience programming in Python.
• Understanding of fundamental machine learning concepts, including model training, validation, testing, and performance evaluation.
• Familiarity with at least one machine learning framework such as PyTorch, TensorFlow, or similar.
• Strong analytical, mathematical, and problem-solving skills.
• Ability to work with technical datasets and interpret experimental results.
• Self-motivated with an interest in researching and applying emerging technologies.
• Strong written and verbal communication skills.
• Ability to work effectively as part of a multidisciplinary engineering team.

Preferred Qualifications:

• Experience developing or training custom machine learning models.
• Experience with computer vision, signal processing, RF data, spectrograms, SAR imagery, or other sensor-based datasets.
• Familiarity with model optimization, quantization, pruning, or edge AI deployment.
• Experience with ONNX or other model interchange and deployment formats.
• Familiarity with neuromorphic computing or spiking neural networks (SNNs).
• Experience with Docker or containerized applications.
• Familiarity with Kubernetes or scalable computing infrastructure.
• Exposure to MLflow, DVC, MinIO, or similar MLOps and data management tools.
• Familiarity with Go, Rust, C++, or another compiled programming language.
• Experience with Git and collaborative software development workflows.
• Familiarity with Linux development environments.
• Previous internship, research, laboratory, project team, or other relevant AI/ML experience.

This is a paid internship opportunity with both full-time and part-time schedules available. Summer interns typically work full-time, with opportunities for part-time work during the academic year based on business needs and intern availability. Start and end dates are flexible based on the intern's academic schedule.

The internship provides the opportunity to gain hands-on experience working on real aerospace and defense engineering programs and may provide a pathway to future employment opportunities with Bascom Hunter.

Equal Employment Opportunity Information:

Bascom Hunter is an equal opportunity employer. We recruit, employ, train, compensate and promote without regard to race, religion, sex, color, national origin, age, gender identity, sexual orientation, marital status, disability/veteran, status as a protected veteran, or any other basis protected by applicable federal, state and local law.