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in Vienna, VA
Machine Learning Engineer -Remote Work
•30 days ago
Estimated Pay | $60 per hour |
---|---|
Hours | Full-time, Part-time |
Location | Vienna, Virginia Vienna, Virginia |
Compare Pay
Estimated Pay We estimate that this job pays $59.89 per hour based on our data.
$34.59
$59.89
$86.72
About this job
Job Title: Machine Learning Engineer
Location: Will consider Remote, but prefer Hybrid out of Vienna, VA (two days/week onsite)
Duration: 60+ Months
Description:
Requirements
Build and enhance machine learning models through all phases of development including design, training, validation, and implementation
Unlock insights by analyzing large scale of complex numerical and textual data and identifying trends
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
Bachelor s 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
Advanced skills with Python, Jupyter Notebook/Jupyter Lab, Visual Studio Code and other languages appropriate for large data analysis
Experience with cloud computing infrastructure
Advanced SQL skills
Experience with data visualization concepts and tools
Ability to convey complex business problems to technical solutions
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
Advanced degree in in computer science, mathematics, physics, statistics, or related field
Experience with Natural Language Processing
Experience with deep learning framework and infrastructure like TensorFlow or PyTorch
Experience and/or willing to learn techniques in Large Language Models (LLMs) and Generative AI
A.I. Model Optimization on GPU architecture. Leveraging C++, CUDA
Experience and/or willing to research, develop, implement, and fine-tuning LLMs in terms of specific domains knowledge and user cases
Knowledge of Machine Learning Ops and CI/CD tools for automation of build, test, and deploy models in production environments