Usamos cookies técnicas y el registro de visitas anonimizado de Zorky. Yandex Metrica (los datos se guardan en servidores en Rusia) solo se activa con tu consentimiento. Nunca vendemos datos. Más sobre cookies y estadísticas.
Zorky está en modo de prueba: todo es gratis. Los empleos y las páginas de empresas están abiertos a todos; los enlaces a las ofertas y tu selección personal se abren tras registrarte. Regístrate →
← Todos los empleos

Data Scientist | LLM Engineer

Middleremotehace 1 sem.
Stack
awsazureci/cdclouddevopsdockerembeddingsfine-tuninggitgoogle cloud
Detalles
Experiencia
3+ años
Prácticas
CI/CD, DevOps
Formación
Doctorado
Para postular
verificación de antecedentes
Mostrar empresa y enlace
Gratis, tras iniciar sesión.
Postular
Sube tu CV: empleadores y reclutadores de distintos países que buscan tu perfil podrán contactarte directamente.
Enviar tu CV →
Descripción

Mission: As a Data Scientist specializing in LLM you will be responsible for developing, implementing and optimizing advanced algorithms, models and capabilities that help our teams (e.g. Field Operations) automate their workloads, e.g. in the context of decision support, mission planning and situational awareness.

You will work on a variety of projects that involve understanding, processing and generating human language to solve complex problems and create innovative solutions. The ideal candidate will have a strong background in LLMs, machine learning and data science, with a proven track record of successful projects in these domains. What will be your responsibilities: Algorithm Development: Design, develop and implement state-of-the-art algorithms and models, within the context of language models.

Capability Development: Realize new AI-based capabilities in areas such as decision support, mission planning, workflow automation. Model Training and Optimization : Train and optimize large language models using vast amounts of textual data, ensuring high performance and accuracy. Data Preprocessing : Perform data preprocessing tasks such as tokenization, stemming, lemmatization and normalization to prepare datasets for training and evaluation.

Research and Innovation: Stay current with the latest advancements in LLM and Natural Language Processing (NLP) and apply new techniques to improve existing models and develop new solutions. Collaboration: Work closely with data enginee

Descripción completa, empresa y enlace para postular: después de iniciar sesión. Iniciar sesión
Los contactos del empleador (correo/teléfono/telegram) están ocultos en la vista previa pública. Envía tu CV para que los empleadores puedan contactarte directamente.
¿Pregunta urgente? Escribe a @termdocs