Negotiable
Undetermined
Hybrid
EMEA
Summary: The Senior Machine Learning Engineer role focuses on developing and optimizing large language models (LLMs) within a leading AI company. The position requires hands-on experience with model deployment and a strong understanding of transformer architectures. The role is hybrid, based in either Madrid or Barcelona, and involves collaboration with analytics teams to enhance machine learning deliverables. Relocation to Spain is mandatory for this position.
Key Responsibilities:
- Develop and train transformer-based LLMs from scratch.
- Deploy, produce, and operate machine learning models and pipelines at scale.
- Drive optimization, testing, and tooling to improve ML deliverables.
- Collaborate with analytics teams to understand objectives for ML model formulation and optimization.
- Contribute to the infrastructure supporting the ML model lifecycle and deployment.
- Stay updated with advancements in ML, deep learning, and AWS services.
Key Skills:
- Proven experience with model compression or optimization techniques.
- Hands-on experience with vLLM and DeepSpeed.
- Deep familiarity with transformer architecture and training pipelines.
- 3 years of commercial experience delivering projects end-to-end.
- Experience with techniques such as QloRA, LoRA, Pruning, and distillation.
Salary (Rate): undetermined
City: undetermined
Country: undetermined
Working Arrangements: hybrid
IR35 Status: undetermined
Seniority Level: undetermined
Industry: IT
Senior Machine Learning Engineer - LLMs NOTE THIS ROLE IS IN Madrid OR Barcelona - HYBRID (RELOCATION IS MANDATORY) €55,000 - €85,000 + 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 pinto@botifytech.com