Machine Learning Engineer

3 weeks ago

Washington, Washington, D.C., United States TechnoGen Full time
Job Title: Machine Learning Engineer

Job Summary:
TechnoGen is seeking a skilled Machine Learning Engineer to join our team. As a Machine Learning Engineer, you will be responsible for building and enhancing machine learning models through all phases of development, including design, training, validation, and implementation. You will also analyze large-scale complex numerical and textual data to identify trends and unlock insights. Additionally, you will partner with a cross-functional team of data engineers, data scientists, and data visualization specialists to deliver projects. The ideal candidate will have a strong understanding of machine learning, statistical modeling, and algorithms, as well as experience with cloud computing infrastructure and data visualization concepts.

Responsibilities:
  • Build and enhance machine learning models through all phases of development.
  • Analyze large-scale complex numerical and textual data to identify trends and unlock insights.
  • Partner with a cross-functional team to deliver projects.
  • Research and evaluate emerging technologies.
  • Develop data science solutions based on tools and cloud computing infrastructure.

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.
  • 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.

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 willing to learn techniques in Large Language Models (LLMs) and Generative AI.
  • A.I. Model Optimization on GPU architecture. Leveraging C++, CUDA.

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