Machine Learning Engineer

Adame Services LLC – Now Hiring: Machine Learning Engineer

We are urgently seeking a Machine Learning Engineer for a role that will run through the end of this year, with a high likelihood of extension into next year. This position offers a hybrid working schedule with opportunities to work onsite in Vienna, VA or Pensacola, FL. Remote work is also available, but candidates must reside within the US Eastern Standard Time (EST) zone.

Job Title: Machine Learning Engineer

Mode of Interview: Skype

Primary Responsibilities:

• Build and enhance machine learning models through all phases of development, including design, training, validation, and implementation.
• Analyze large-scale, complex numerical and textual data to identify trends and unlock insights.
• Collaborate 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 using various tools and cloud computing infrastructure.
• Perform other duties as assigned.

Required Qualifications:

• Bachelor’s degree in Computer Science, Mathematics, Physics, Statistics, or a related field.
• Strong experience in model design, training, validation, and monitoring.
• Excellent understanding of machine learning, statistical modeling, and algorithms.
• Advanced skills in Python, Jupyter Notebook/Jupyter Lab, Visual Studio Code, and other relevant programming languages for large data analysis.
• Experience with cloud computing infrastructure.
• Advanced SQL skills.
• Experience with data visualization concepts and tools.
• Ability to translate complex business problems into technical solutions.
• Strong ability to work both independently and as part of a team.
• Excellent verbal, written, interpersonal, and presentation skills for clear and concise communication with all management levels.

Preferred Qualifications:

• Advanced degree in Computer Science, Mathematics, Physics, Statistics, or a related field.
• Experience with Natural Language Processing.
• Experience with deep learning frameworks and infrastructures 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++ and CUDA.
• Experience and/or willingness to research, develop, implement, and fine-tune LLMs for specific domain knowledge and user cases.
• Knowledge of Machine Learning Ops and CI/CD tools for automating the build, test, and deployment of models in production environments.

Please Note: Submit resumes no longer than 5 pages and include the attached skills matrix. Ensure you provide details on:

• Overall professional experience
• Model design, training, validation, and monitoring
• Statistical modeling
• Algorithms
• Python
• Jupyter Notebook/Jupyter Lab
• Visual Studio Code and other languages for large data analysis
• Cloud computing infrastructure
• SQL
• Data visualization concepts and tools
• Natural Language Processing
• Deep learning frameworks and infrastructure (TensorFlow or PyTorch)
• A.I. Model Optimization on GPU architecture
• Current residence
• Visa status
• LinkedIn profile
• Whether the resume has ever been submitted for this job description (last week, last month, last year)