Machine Learning Engineer - Remote - Portugal

A2It Tecnologia; Leiria; Teletrabalho; EUR 45 000 - 75 000; Tempo integral

Resumo da oferta

A2It Tecnologia is seeking a Machine Learning Engineer to design, develop, and deploy scalable ML systems. You will combine traditional ML with LLM-powered applications and agentic workflows to solve real-world problems.

You will design forecasting models, build ML pipelines on Azure Databricks, track experiments with MLflow, implement monitoring and retraining, and work with Docker, Kubernetes to ensure observability and performance.

Qualificações

• 4–5 years of professional ML/AI engineering experience.

Responsabilidades

• Design and deploy forecasting and time-series models in production.
• Build ML pipelines on Azure Databricks and track experiments with MLflow.
• Implement feature engineering, monitoring, drift detection and retraining.
• Develop LLM-powered apps and multi-step agentic workflows.
• Design evaluation frameworks for ML models and outputs.
• Deploy and scale ML solutions using Azure, Docker and Kubernetes.
• Integrate ML components into microservices with observability and performance.

Conhecimentos

Python

LLMs

Databricks

Docker

Kubernetes

Airflow

Azure

Time-series

Formação académica

Degree in Computer Science or Data Science

Ferramentas

Azure Databricks

MLflow

LangGraph

CrewAI

OpenAI API

Docker

Kubernetes

Airflow

Descrição da oferta de emprego

We’re looking for a Machine Learning Engineer with 4-5 years of professional experience to develop and deploy scalable ML systems, combining classical Machine Learning with LLM-powered applications and agentic workflows.

What you’ll do:

• Design and deploy forecasting and time series prediction models in production;
• Build and maintain ML pipelines on Azure Databricks, using MLflow for experiment tracking, model versioning and lifecycle management;
• Implement feature engineering workflows, model monitoring, drift detection and automated retraining;
• Develop LLM-powered applications and multi-step agentic workflows using prompt engineering, function calling and frameworks such as LangGraph, CrewAI or OpenAI Agent SDK;
• Design evaluation frameworks for ML models, LLM outputs and agent performance;
• Deploy and scale ML solutions using Azure, Docker and Kubernetes;
• Integrate ML components into microservices architectures, ensuring observability, performance and code quality.

What we’re looking for:

• 4-5 years of professional experience in Machine Learning or AI engineering;
• Strong Python skills and solid object-oriented programming fundamentals;
• Hands-on experience developing and deploying forecasting and time series models;
• Experience with production ML workflows and Databricks;
• Knowledge of LLMs, prompt engineering and agentic systems;
• Experience with Azure, Docker and Kubernetes;
• Understanding of model evaluation, monitoring and drift detection;
• Familiarity with workflow orchestration tools such as Apache Airflow;
• Strong coding practices, automated testing and maintainable software development.

Nice to have:

• Experience deploying LLM applications and AI agents in production;
• Familiarity with LLM observability and tracing tools such as Langfuse;
• Knowledge of LLM inference cost optimisation and token caching;
• Experience with multi-agent orchestration, tool use and CI/CD practices.

Education: Degree in Computer Science, Data Science or a related field, or equivalent professional experience.

Vaga em regime 100% remoto.