AI/ML Engineer

Bright Intelli LLC

Washington, DC, United States

2 months ago

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Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Expert

Working hours

Regular working hours

Job source

dice.com

Tech stack

Computer Vision Data Security Data Visualization Machine Learning Natural Language Processing Tensorflow Data Streaming Cloud Platform System Pytorch Large Language Models Deep Learning Information Technology

+1 more

Natural Language Understanding

Job description

Build and enhance machine learning models through all phases of development including design, training, validation, and implementation etc.
Unlock insights by analyzing large scale of complex numerical and textual data and identifying trends.
Review A.I. system architectures and data flows to identify exposure to risks and evaluate identified A.I. safety and security risks.
Perform A.I. risk assessments across the full lifecycle, including data security, model development, deployment, and ongoing monitoring.
Partner with a cross-functional team of data engineers, data scientists, and data visualization to deliver projects.
Research and evaluate emerging technologies.
Develop data science solutions based on tools and cloud computing infrastructure.
Perform other duties as assigned.

Requirements

Advanced degree in in computer science, mathematics, physics, statistics.
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 framework and infrastructure like TensorFlow or PyTorch.
Experience and/or willing to learn advanced techniques in Agentic A.I. framework and Large Language Models (LLMs).
Experience and/or willing to research, develop, implement, and fine-tuning LLMs in terms of specific domains knowledge and user 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.