Senior Machine Learning Engineer

7 days ago


Dubai, Dubai, United Arab Emirates Dice Full time
About the Role

This is a challenging and rewarding opportunity for a highly skilled Senior Machine Learning Engineer to join our team at Dice. As a key member of our engineering team, you will be responsible for designing and building large-scale machine learning systems, developing AI and ML algorithms, and architecting cloud systems for security, availability, performance, scalability, and cost.

Key Responsibilities
  • Design and Develop Machine Learning Systems: Design and build large-scale machine learning systems, including distributed computing HPC and large-scale ML systems.
  • Develop AI and ML Algorithms: Develop AI and ML algorithms in Python or C/C++ and integrate them into our existing systems.
  • Architect Cloud Systems: Architect cloud systems for security, availability, performance, scalability, and cost, using cloud platforms such as AWS, Azure, or Google Cloud Platform.
  • Deliver Large Models: Deliver very large models through the MLOps life cycle from exploration to serving.
  • Build GPU Clusters: Build GPU clusters in the public cloud with tightly-coupled storage and networking.
  • Develop Distributed Training Frameworks: Develop the complete stack for distributed training of large models, including ML compilers, distributed training frameworks, and ML development frameworks such as PyTorch, TensorFlow, and Lightning.
  • Stay Up-to-Date with AI Technology: Stay up-to-date with the latest developments in the AI technology stack, including prompt engineering, guardrails, vector databases/knowledge bases, LLM hosting and fine-tuning.
Requirements
  • Education: Bachelor's degree in Computer Science, Computer Engineering, or a related technical field.
  • Experience: At least 7 years of experience designing and building distributed computing HPC and large-scale ML systems, and at least 5 years of experience developing AI and ML algorithms in Python or C/C++.
  • Skills: Strong understanding of machine learning algorithms, experience with cloud platforms, and ability to design and develop large-scale machine learning systems.
What We Offer

We offer a comprehensive and competitive benefits package, including health, financial, and other benefits that support your total well-being. We are an equal opportunities employer and welcome applications from diverse candidates.



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