AI Engineer

hace 2 semanas

Barcelona, Barcelona, España Td Synnex A tiempo completo
About the Role:

We're seeking an experienced AI Engineer to join our dynamic AI team at TD SYNNEX. As an LLM Engineer, you will play a key role in developing cutting-edge Gen AI solutions that leverage natural language processing (NLP), logic programming, and machine learning techniques to address complex business challenges and ensure the security and handling of sensitive data following best practices.

Key Responsibilities:

  • Design and implement AI algorithms and models for various applications, focusing on Generative AI, NLP, logic programming, and machine learning.
  • Design, develop, and optimize RAG models to accurately retrieve information, utilizing vector databases and advanced indexing techniques to store and retrieve relevant information.
  • Optimize LLM responses for different applications and use cases.
  • Develop and maintain integrations of LLM solutions with internal tools and systems to streamline workflows and enhance functionality.
  • Leverage deep Python knowledge to efficiently process and manage vast amounts of data for model training and evaluation.
  • Work closely with data scientists, software engineers, and product teams to integrate LLM capabilities into products and services.
  • Create and maintain comprehensive documentation for developed models, systems, APIs, and integration processes as well as related best practices.

Requirements:

  • Strong background in artificial intelligence (ML and NLP) processing and data analysis.
  • Proficiency in Python, Java, or C++ with preference for Python.
  • Experience with deep learning frameworks (e.g., TensorFlow, PyTorch) and NLP libraries (e.g., NLTK, SpaCy).
  • Hands-on experience with deploying LLMs and multimodal LLMs such as GPT-4.
  • Strong experience with data preprocessing, fine-tuning, and model training.
  • Proficient with model evaluation techniques to determine which technique is best for which use case.

What We Offer:

  • Competitive compensation with annual salary reviews.
  • Fully remote in Europe or hybrid work in Barcelona, Madrid, Lisbon.
  • Continuous learning and a clear progression plan.

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