Adameservices
Machine Learning Engineer
Adameservices, Vienna, Virginia, United States, 22184
It is an urgent role!
This role will run through the end of this year at a minimum most likely extending into next year. This group is looking for a Machine Learning Engineer. Candidates can work a hybrid schedule onsite in either Vienna, VA or Pensacola, FL. They are also open to remote work – candidates MUST live in the US (EST).
Title: Machine Learning Engineer
MOI: Skype
Responsibilities
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.Perform other duties as assigned.Qualifications
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 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 willingness to learn techniques in Large Language Models (LLMs) and Generative AI.A.I. Model Optimization on GPU architecture. Leveraging C++, CUDA.Experience and/or willingness to research, develop, implement, and fine-tune LLMs in terms of specific domain knowledge and user cases.Knowledge of Machine Learning Ops and CI/CD tools for automation of build, test, and deploy models in production environments.
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This role will run through the end of this year at a minimum most likely extending into next year. This group is looking for a Machine Learning Engineer. Candidates can work a hybrid schedule onsite in either Vienna, VA or Pensacola, FL. They are also open to remote work – candidates MUST live in the US (EST).
Title: Machine Learning Engineer
MOI: Skype
Responsibilities
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.Perform other duties as assigned.Qualifications
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 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 willingness to learn techniques in Large Language Models (LLMs) and Generative AI.A.I. Model Optimization on GPU architecture. Leveraging C++, CUDA.Experience and/or willingness to research, develop, implement, and fine-tune LLMs in terms of specific domain knowledge and user cases.Knowledge of Machine Learning Ops and CI/CD tools for automation of build, test, and deploy models in production environments.
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