Bjak
Bjak
New

Machine Learning Engineer, Applied AI

Brak informacji o wynagrodzeniu
NieokreśloneZdalnie·WarszawaFull-time
#460063·Dodano dziś·0
Źródło: Bjak
Aplikuj teraz

Tech Stack / Keywords

PythonPyTorchJAXembeddingsvector searchhybrid searchranking models

Wymagania

  • Strong foundations in machine learning and modern neural architectures.
  • Hands-on experience building and deploying ML models in production.
  • Experience in classification, ranking, retrieval, recommendation systems or personalization.
  • Understanding of model evaluation, experimentation and performance metrics.
  • Comfortable writing production-quality code and working with real-world datasets.
  • Able to balance model quality, latency, cost and reliability.
  • Strong ownership and problem-solving skills.

Obowiązki

  • Build and improve ML models for classification, ranking, retrieval and personalization.
  • Develop efficient classifiers and optimize model accuracy, precision, latency and cost.
  • Improve search relevance and context retrieval using embeddings, hybrid search and reranking.
  • Build personalization models that learn from user behavior while respecting privacy.
  • Develop evaluation pipelines, labeled datasets and metrics to measure model quality.
  • Fine-tune and adapt existing models when supported by sufficient data.
  • Build and maintain ML training, inference and deployment pipelines.
  • Debug production issues, monitor model performance and ship improvements based on real-world feedback.

Inne informacje

  • If there appears to be a fit, the company will schedule 3, but no more than 4, interviews.
  • Applications are evaluated by technical team members; interviews are conducted virtually and/or onsite.
Bjak

Bjak

125 aktywnych ofert

Zobacz wszystkie oferty
Aplikuj teraz