Overview
Hybrid
Depends on Experience
Contract - W2
Contract - 12 Month(s)
Skills
Amazon SageMaker
Amazon Web Services
Artificial Intelligence
C++
Cloud Computing
Collaboration
Computer Vision
Continuous Delivery
Continuous Integration
Data Engineering
Docker
Git
Good Clinical Practice
Google Cloud Platform
Information Technology
Innovation
Java
Kubernetes
Machine Learning (ML)
Microsoft Azure
Natural Language Processing
OCI
Object-Oriented Programming
Predictive Analytics
Software Development
Unit Testing
Use Cases
Vertex
cloud
AI
ML
Job Details
Beacon Systems, Inc, delivers Program Management, Science, Engineering, and Technology Solutions to Federal, Commercial State, and Local Agencies. We are a subsidiary of Radiant Digital Solutions. Our Technology support to many DoD Agencies, NASA, Voice of America, FDA, and State Agencies such as State of FL, RI, MS, ND, VA, and WV extends our delivery of solutions worldwide.
We are looking for an AI/ ML Engineer - Hybrid - Austin, TX
If you are interested in applying for this requirement, please do respond with your updated resume.
Job Title: Artificial Intelligence / Machine Learning Engineer Intern
Work Location: Austin, TX 78744
Work Arrangement: Hybrid - Minimum 4 days onsite per week unless otherwise approved. May require evening or weekend work to meet deadlines.
Contract Term: Initial one-year term beginning upon contract execution, with option for three (3) one-year renewals.
Work Arrangement: Hybrid - Minimum 4 days onsite per week unless otherwise approved. May require evening or weekend work to meet deadlines.
Contract Term: Initial one-year term beginning upon contract execution, with option for three (3) one-year renewals.
Position Overview
We are seeking an AI/ML Engineer Intern to support the AI Innovation team within the Information Technology Division (ITD). This role will contribute to rapid development initiatives and the application of AI/ML technologies to drive business innovation across the agency.
The selected resource will evaluate emerging AI capabilities, prototype solutions, build production-ready AI models, and develop scalable pipelines in collaboration with cross-functional teams.
Minimum Skills, Experience, and Qualifications
The candidate must possess the following:
- Strong Python skills: familiarity with Java, C++, or Go for production environments
- Experience with object-oriented programming and design patterns
- Proficiency in unit testing, CI/CD, Git, and containerization (Docker)
- Hands-on experience with data pipelines (Airflow, Prefect, or cloud-native equivalents)
- Knowledge of model deployment using REST APIs, gRPC, serverless architectures
- Experience with model monitoring and model versioning
- Familiarity with major cloud AI services (AWS, Azure, Google Cloud Platform, OCI)
- Experience working in cloud-native ML environments (SageMaker, Vertex AI, Azure ML)
- Proficiency with Kubernetes for scalable inference workloads
Key Responsibilities
The AI/ML Engineer Intern will perform the following tasks:
- Evaluate emerging AI trends, tools, and vendor solutions to determine applicability to business use cases.
- Develop and execute proof-of-concepts (PoCs) to assess feasibility of innovative ideas.
- Design and build applications and AI/ML models for use cases such as predictive analytics, NLP, and computer vision aligned with AI Program priorities.
- Develop scalable AI pipelines for integration with existing systems.
- Collaborate closely with data, engineering, and software development teams to deliver end-to-end AI/ML solutions.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.