GenAI & Production ML Engineer (Azure & Databricks)

99X Technology; Leiria; Presencial; EUR 60 000 - 80 000; Tempo integral

Resumo da oferta

99X Technology is seeking an AI/ML Engineer to design, build, deploy, and optimize ML solutions at scale. You will work on classical ML and Generative AI applications, with production-grade focus across forecasting, anomaly detection, and agentic workflows on Azure and Databricks.

You will develop end-to-end ML systems, implement monitoring, and collaborate with cross-functional teams to deliver measurable business outcomes in a cloud-native environment.

Qualificações

• 4–5 years of professional ML/AI engineering experience.
• Strong Python programming and OOP fundamentals.
• Fluency in English and ability to work in international teams.

Responsabilidades

• Design, develop, and deploy forecasting and time-series models in production.
• Build scalable ML pipelines using Databricks, MLflow, and model-serving capabilities.
• Develop feature engineering workflows and manage experiment tracking and model versioning.
• Implement model monitoring, drift detection, and automated retraining strategies.
• Ensure reproducibility, reliability, and scalability of ML solutions.
• Collaborate with cross-functional teams to integrate ML models into business applications and services.
• Develop LLM-powered applications and agentic workflows.
• Design multi-step agentic workflows using orchestration frameworks.
• Optimize inference performance and cost for Generative AI systems.
• Deploy ML solutions using Azure Databricks and Azure ML.

Conhecimentos

Python

English fluency

Docker

Kubernetes

Azure

Databricks

MLflow

LLMs

Prompt engineering

Agentic workflows

Time-series forecasting

OOP

Ferramentas

Databricks

MLflow

LangGraph

CrewAI

Airflow

Docker

Kubernetes

Azure ML

Descrição da oferta de emprego

99X Technology is seeking an AI/ML Engineer to design, build, deploy, and optimize ML solutions at scale. You will work on classical ML and Generative AI applications, with production-grade focus across forecasting, anomaly detection, and agentic workflows on Azure and Databricks.

You will develop end-to-end ML systems, implement monitoring, and collaborate with cross-functional teams to deliver measurable business outcomes in a cloud-native environment.