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Senior Machine Learning Engineer for Large Language Models (LLMs)

botify tech • Emea
Relocation
This Job is No Longer Active This position is no longer accepting applications
AI Summary

Botify Tech seeks a Senior Machine Learning Engineer with expertise in LLMs to join a top AI business. The role involves developing and deploying transformer-based LLMs, optimizing model performance, and driving innovation within the team.

Key Highlights
Develop and deploy transformer-based LLMs from scratch
Optimize model performance using techniques like model compression and pruning
Collaborate with the analytics team and stakeholders to formulate and productionize ML models
Stay up-to-date with the latest advancements in ML, deep learning, and AWS services
Technical Skills Required
Transformer architecture DeepSpeed vLLM QloRA LoRA Pruning Distillation AWS services
Benefits & Perks
Salary: €55,000 - €85,000
Bonus
Relocation package
Signing bonus

Job Description


Senior Machine Learning Engineer - LLMs

NOTE THIS ROLE IS IN THE BASQUE COUNTRY - HYBRID (RELOCATION IS MANDATORY)


€55,000 - €85,000 + Bonus + Relocation Package + Signing Bonus


Botify Tech has partnered with one of the TOP AI businesses Globally, they are on the lookout for a Senior Machine Learning Engineer with a strong background within LLM's.


Key Skills & Experience Required

  • Proven use of model compression or optimization techniques
  • Hands-on deployment, production, and operation of Machine Learning models and pipelines at scale, including both batch and real-time use cases.
  • Experience using vLLM, DeepSpeed
  • Hands-on experience developing or training transformer-based LLMs from scratch
  • Deep familiarity with transformer architecture, training pipelines, and experimentation
  • Help drive optimization, testing, and tooling to improve the quality of the ML deliverables.
  • Stay up-to-date with the latest advancements in ML, deep learning, and AWS services to drive innovation within the team.
  • Work with the analytics team & stakeholders to understand their objectives in support of formulating, optimizing, and productionising ML models
  • Contribute to expanding and improving the infrastructure to support all stages of the ML model lifecycle and deployment in a production environment.
  • 3 years of commercial experience delivering projects end-to-end


Must-haves:

  • Hands-on experience developing or training transformer-based LLMs from scratch
  • Deep familiarity with transformer architecture, training pipelines, and experimentation
  • Proven use of model compression or optimization techniques such as – QloRA, LoRA, Pruning, distillation


For more info

Email me at [email protected]


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