AI Engineer — Remote ML Pipelines & Data Platforms

Neotalent Conclusion; Lisboa; Presencial; EUR 31 000 - 47 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Health Insurance

Flexible work policy

Continuous learning and certification

Recognition program

Meal card allowance

Resumo da oferta

Neotalent Conclusion is seeking an AI Engineer to join our data engineering and AI teams, contributing to scalable data platforms, Generative AI applications, and ML pipelines in an international, collaborative setting.

You will work with Databricks and Microsoft Fabric, build robust MLOps, integrate AI capabilities into applications, and collaborate with data scientists to deliver end-to-end AI products. Remote work options available.

Qualificações

• Proficient with Databricks and Microsoft Azure services (Fabric, Synapse, Data Factory).
• Skilled in Python (pandas, numpy) and SQL.
• Experience with ML/AI frameworks and MLOps tooling (Spark, MLflow, Kafka, Airflow, Docker, Kubernetes).
• Fluency in English.

Responsabilidades

• Design, build, and operationalise AI-driven solutions using platforms such as Databricks and Microsoft Fabric.
• Develop and maintain robust MLOps pipelines to streamline model development, deployment, and monitoring.
• Integrate advanced AI capabilities (LLMs, RAG pipelines, predictive models, automation) into new and existing applications.
• Collaborate closely with data scientists to deliver end-to-end AI products.

Conhecimentos

Databricks

Microsoft Azure

Python

SQL

ML/AI frameworks

MLOps tooling

Spark

MLflow

Kafka

Airflow

Docker

Kubernetes

LLMs

embeddings

model deployment

English

Ferramentas

Databricks

Microsoft Azure

PyTorch

TensorFlow

HuggingFace

Spark

MLflow

Kafka

Airflow

Docker

Kubernetes

Descrição da oferta de emprego

Neotalent Conclusion is seeking an AI Engineer to join our data engineering and AI teams, contributing to scalable data platforms, Generative AI applications, and ML pipelines in an international, collaborative setting.

You will work with Databricks and Microsoft Fabric, build robust MLOps, integrate AI capabilities into applications, and collaborate with data scientists to deliver end-to-end AI products. Remote work options available.