Machine Learning Engineer (Security)

Location: Vienna - Remote
Category: Other
Employment Type: Contract
Job ID: 16371
Date Added: 03/20/2024

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Our client, a leading Banking & Financial Services company, is seeking a talented Machine Learning Engineer to join their Security team.

• 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.
• 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.

• 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.


• 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