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Senior Artificial Intelligence Engineer

Senior Artificial Intelligence Engineer

beBeeMachineLearningCatalonia, España
Hace 1 día
Descripción del trabajo

Job Opportunity :

We are seeking a seasoned Data Science Specialist to join our cutting-edge team in Catalonia. As a Data Science Specialist focused on Product Development, you will be responsible for conceptualizing and implementing innovative AI models from inception to deployment.

  • Main Responsibilities :
  • Data Pipeline Development : Design and build comprehensive data pipelines that encompass data sourcing, augmentation, validation, training, fine-tuning, evaluation, and model shipping.
  • Evaluation Frameworks : Develop robust evaluation frameworks that include statistical testing and reliability checks to verify task competence and alignment.
  • Scaled Model Deployment : Scale training and inference by leveraging distributed computing, optimizing throughput / latency, and identifying opportunities for algorithmic or systems-level speedups.
  • Model Improvement Techniques : Apply Supervised Fine-Tuning (SFT) and preference-based or reinforcement learning to enhance model helpfulness, safety, and reasoning.
  • Model Specialization : Optimize and specialize models using compression techniques to meet performance and footprint targets.
  • Cross-Functional Collaboration : Partner closely with ML engineers, researchers, and software engineers on data curation, evaluation design, training runs, model serving, and observability.
  • Code Excellence : Contribute to our shared codebase by writing clean, well-tested Python; documenting decisions; and upholding high engineering standards.

Necessary Skills and Qualifications :

  • A Bachelor's degree in Computer Science, Math, Physics, Data Science, Operations Research, or a related field.
  • Strong programming skills in Python and fluency with the modern ML stack (e.g., PyTorch), data tooling (NumPy / Pandas), and basic software practices (git, unit tests, CI).
  • Solid grounding in language modelling concepts around training, evaluation, model architecture, and data.
  • Comfort working with datasets at scale : collection, cleaning, filtering, labelling / annotation strategies, and quality controls.
  • Experience using GPU resources and familiarity with containerized workflows (Docker) and job schedulers or cloud orchestration.
  • The ability to read research papers, prototype ideas quickly, and translate them into reproducible, production-ready code.
  • Clear, pragmatic communication skills and a highly collaborative mindset.
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    Artificial Intelligence Engineer • Catalonia, España