A.I. Engineer
A.I. Engineer
Employer Active
Job Alert
You will be updated with latest job alerts via email
Share
Job Alert
You will be updated with latest job alerts via email
Not Disclosed
Salary Not Disclosed
1 Vacancy
Job Description
Title: A.I. Engineer
Location: Hybrid - Vienna VA
Client: NFCU
Responsibility:
- Build and enhance machine learning models through all phases of development including design training validation and implementation.
- Unlock insights by analyzing large scale complex numerical and textual data and identifying trends.
- Partner with a cross-functional team of data engineers data scientists and data visualization experts to deliver projects.
- Research and evaluate emerging technologies.
- Develop data science solutions based on tools and cloud computing infrastructure.
- Perform other duties as assigned.
Qualifications:
- Advanced degree in computer science mathematics physics statistics or related field.
- Strong experience with applying expertise in model design training validation and monitoring.
- Excellent understanding of machine learning statistical modeling and algorithms as well as their benefits and drawbacks.
- Experience with cloud computing infrastructure.
- Experience with Computer Vision image processing and video analytics.
- Experience with Natural Language Processing/Natural Language Understanding.
- Experience with deep learning frameworks and infrastructure like TensorFlow or PyTorch.
- Experience and/or willingness to learn advanced techniques in Agentic A.I. framework and Large Language Models (LLMs).
- Experience and/or willingness to research develop implement and fine-tune LLMs for specific domain knowledge and use cases.
- Ability to work individually and as part of a team.
- Advanced verbal written interpersonal and presentation skills to communicate clearly and concisely technical and non-technical information to all levels of management.
Desired:
- A.I. Model Optimization on GPU architecture. Leveraging C CUDA.
- Knowledge of Machine Learning Ops and CI/CD tools for automation of build test and deploy models in production environments.
- Knowledge of principles of A.I. Security and Safety.
- Experience with Advanced Reinforcement Learning Paradigms.
- Experience with Speech Recognition.
- Experience with Microsoft Azure services.
Employment Type
Full-time
