Cloud MLOps Engineer supporting Data Science and Engineering teams by automating CI/CD pipelines and managing multi - cloud infrastructure for ML production.
About the role
- AI/ML Intern supporting the design and deployment of AI and ML projects. Collaborating with senior leaders and engineers at Frontier Technology Inc.
Responsibilities
- Assist in the design, development, and deployment of AI/ML models and analytics solutions.
- Support data preparation, feature engineering, and model training using modern ML frameworks.
- Contribute to MLOps workflows, including testing, validation, and automation for model deployment.
- Collaborate with engineers to integrate AI/ML capabilities into software systems and applications.
Requirements
- U.S. citizenship required.
- Actively pursuing a bachelor’s degree in computer science or software engineering.
- Strong programming skills in Python (additional languages such as Java or C++ are a plus).
- Basic understanding of AI/ML concepts and willingness to learn advanced techniques.
- Strong communication and collaboration skills, a passion for coding, and an eagerness to take on new challenges.
- You have taken an Artificial Intelligence course that has introduced you to classic AI search, reasoning, basic neural methods, and probabilistic reasoning.
- You have taken an Introduction to Data Science course that has been able to provide you exposure into data acquisition, cleansing, manipulation, and machine learning toolkits using Python and SQL, with hands-on data work.
- You have taken a course or had a previous internship that has provided you exposure into data pipelines, feature extraction, model evaluation, visualization, and ethical considerations using real datasets and Python toolkits.
- You have taken a course or had a previous internship that has provided you exposure to AI/ML frameworks (TensorFlow, PyTorch, Scikit-learn).
Benefits
- Direct Access to Senior Leadership: Work closely with FTI’s CTO and our AI Technologist who will provide both mentorship and guidance.
- Impactful, Mission-Focused Work: Contribute to projects that support national defense and make a real-world difference.
- Hands-On Experience with Emerging Tech: Gain practical skills in AI, ML, and advanced analytics; technologies in high demand across industries.
Job title
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Not specified
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