Python Hybrid Jobs in Österreich

Hybrid Machine Learning Engineer Machine Learning Engineer with verification

Tential Solutions · Vienna, Vienna, Austria (Remote) · Austria · Hybrid

About the job

Our client, a fortune 100 credit union, is searching for a Machine Learning Engineer to join their team remotely. You will be a part of building and enhancing machine learning models through all phases of development.

Responsibilities
  • 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.


Qualifications
  • Candidates must be able to work a W2 contract without a sponsoring employer indefinitely. No C2C arrangements. We can only accept US Citizens, TN Visas, GC EAD, GC Holders.
  • 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.


#DICE