Senior AI Engineer

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

Main Tasks and Responsibilities

• Being comfortable with experimentation and willing to approach a problem in multiple ways via rapid prototyping.
• Identifying appropriate datasets and driving annotation for machine learning techniques.
• Developing (together with relevant expert talents) and maintaining machine learning applications and products.
• Iteratively (re-)training the developed models and running evaluation experiments in collaboration with others, as well as performing statistical analysis of results.
• Keeping an eye on state-of-the-art machine learning solutions, emerging technologies, and developments in academia.
• Translating and communicating technical concepts and solutions to different stakeholders.

Key Requirements

Education Level

Bachelor’s or advanced degree in Computer Science, Artificial Intelligence, Mathematics, or a related field.

Technical Skills

• Expertise in the Scala programming language and the Play Framework is desired, but not mandatory.
• Advanced Elasticsearch experience.
• Postgres database or other relational database experience.
• Experience in content apps.
• Experience in microservices.
• Knowledge of a variety of AI techniques - such as natural language processing, classification, clustering, optimization, and deep neural networks - along with a solid understanding of their mathematical foundations and real‑world advantages and drawbacks, is preferred.
• Knowledge of data structures, semantic extraction, and text representation in an NLP context.
• Proficiency in Python (OOP) preferred.
• Experience in using technologies such as Docker. Azure, GCP, and AWS.
• Experience in creating APIs (RESTful, Asynchronous, etc.).
• Familiarity with the concepts and applications of LLMs is a plus.
• Ability to write clean, production-ready code.

Other Skills

• Fluency in English is required. Any additional language skills are an asset.