Remote AI/ML Engineer — Production ML & LLM Systems

LUZA Group

Oliveira de Azeméis

Presencial

EUR 45 000 - 75 000

Tempo integral

14 dias+
Gerador de candidaturas

Transforma esta função numa entrevista — um currículo e uma carta de apresentação criados à volta do que este empregador procura.

Ultrapassa os filtros ATS

Vantagens oferecidas por esta oferta de emprego

Remote work whenever possible
Equipment provided
Benefits plan
and others

Resumo da oferta

Syffer is an all-inclusive consulting company focused on talent, tech and innovation. We exist to elevate companies and humans around the world, making change, from the inside to the outside.

We are seeking a seasoned ML/AI engineer to design and deploy forecasting, time series models, and production pipelines on Databricks, Azure, Docker and Kubernetes. Fluent Portuguese and English are required, and you will work with expert teams on high-impact projects.

Qualificações

  • 4–5 years of professional experience in ML/AI roles or equivalent production ML work.
  • Bachelor's or Master's degree in Computer Science, Data Science, or related field.
  • Strong Python proficiency and OOP fundamentals.
  • Experience building and deploying time series forecasting models.
  • Hands-on with production ML workflows and Databricks.
  • Solid understanding of LLMs, prompt engineering, and agentic systems.
  • Proficiency with Azure cloud and containerization (Docker, Kubernetes).
  • Experience with model evaluation, monitoring and drift detection.
  • Knowledge of orchestration tools (Airflow).
  • Write high-quality, tested code with good practices.
  • Fluent in Portuguese and English.

Responsabilidades

  • Design and deploy forecasting and time series models in production.
  • Build reproducible ML pipelines on Databricks Model Serving with versioning.
  • Develop feature engineering workflows and experiment tracking via MLflow.
  • Monitor model drift and automate retraining strategies.
  • Develop LLM-powered apps using prompt engineering and function calls.
  • Implement multi-step agentic workflows with orchestration frameworks.
  • Design evaluation frameworks for LLM outputs and agent behavior.
  • Create data pipelines for model fine-tuning and evaluation data prep.
  • Deploy ML solutions on Azure Databricks and Azure ML.
  • Containerize and orchestrate workflows with Docker and Kubernetes.
  • Add observability and tracing for model and agent performance.
  • Collaborate with teams to integrate ML components into microservices.

Conhecimentos

Python
Databricks
LLMs
Azure
Docker
Kubernetes
Prompt engineering
Unit testing
Portuguese
English

Formação académica

Bachelor's or Master's in Computer Science / Data Science

Ferramentas

OpenAI API
LangGraph
Langfuse
Apache Airflow
CI/CD

Descrição da oferta de emprego

Syffer is an all-inclusive consulting company focused on talent, tech and innovation. We exist to elevate companies and humans around the world, making change, from the inside to the outside.

We are seeking a seasoned ML/AI engineer to design and deploy forecasting, time series models, and production pipelines on Databricks, Azure, Docker and Kubernetes. Fluent Portuguese and English are required, and you will work with expert teams on high-impact projects.

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