Senior AI Engineer - Prototyping, NLP, & ML Systems

emagine; Lisboa; Presencial; EUR 45 000 - 65 000; Tempo integral

Resumo da oferta

emagine is looking for a skilled Machine Learning Engineer in Lisbon, Portugal, to develop and maintain machine learning applications. The position requires strong knowledge of AI techniques, Python, and familiarity with skills such as Elasticsearch and databases. Key responsibilities include driving datasets for ML, re-training models, and translating technical concepts. Fluency in English is mandatory, with additional languages seen as an asset.

Qualificações

• Expertise in Scala programming language and Play Framework is desired.
• Advanced Elasticsearch experience is required.
• Familiarity with Postgres or other relational databases is needed.
• Relevant experience in content apps and microservices is beneficial.
• Knowledge of AI techniques such as NLP, classification, and deep learning is preferred.
• Fluency in English is mandatory, additional languages are a plus.

Responsabilidades

• Comfortable with experimentation and rapid prototyping.
• Identify and drive datasets for machine learning.
• Develop and maintain machine learning applications.
• Iteratively train models and perform statistical analysis.
• Stay updated on state-of-the-art machine learning solutions.
• Translate technical concepts for various stakeholders.

Conhecimentos

Scala programming

Elasticsearch

Postgres or relational databases

Python (OOP)

Microservices

NLP techniques

Docker

APIs (RESTful, Asynchronous)

LLMs familiarity

Formação académica

Bachelor’s or advanced degree in Computer Science, AI, Mathematics

Descrição da oferta de emprego

emagine is looking for a skilled Machine Learning Engineer in Lisbon, Portugal, to develop and maintain machine learning applications. The position requires strong knowledge of AI techniques, Python, and familiarity with skills such as Elasticsearch and databases. Key responsibilities include driving datasets for ML, re-training models, and translating technical concepts. Fluency in English is mandatory, with additional languages seen as an asset.