Hybrid MLOps Engineer — Azure Databricks & Cloud ML

ADENTIS; Viseu; Híbrido; EUR 50 000 - 75 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Health benefits

Flexible schedule

Team building

Employee discounts

Training & certification

Performance feedback

Career progression

Resumo da oferta

ADENTIS is seeking a Machine Learning Engineer to maintain and evolve its ML platform and deliver data-driven CRM solutions. In a hybrid setup, you will work closely with IT and Data teams to build robust data pipelines and scalable ML models.

You will design models for retention, anomaly detection, and forecasting, while advancing MLOps, feature stores, and cloud-based processing with Azure Databricks. This role emphasizes collaboration, learning, and professional growth.

Qualificações

• Bachelor's or Master's in CS/DS/Engineering or related field.
• Proven ML Engineer with CRM/platform experience.
• Proficiency with Azure Databricks and ML libraries.

Responsabilidades

• Maintain and evolve the ML platform using Python, React, CosmosDB, Kafka and AKS to meet CRM needs.
• Develop ML models for retention, anomaly detection, and regression analysis.
• Create and manage automated data pipelines for model deployment.
• Improve monitoring to ensure data quality and model reliability.
• Collaborate with Data Engineering and IT to leverage data platforms and feature stores.
• Advance MLOps with versioning, dataset tracking and experiment management.
• Utilize Azure Databricks for processing, training and deployment.

Conhecimentos

Machine Learning

Python

Azure Databricks

CRM platforms

Data pipelines

DevOps practices

Formação académica

Bachelor's or Master's in CS/DS/Engineering

Ferramentas

Azure Databricks

TensorFlow

PyTorch

Scikit-Learn

Kafka

CosmosDB

Python

R

Scala

Descrição da oferta de emprego

ADENTIS is seeking a Machine Learning Engineer to maintain and evolve its ML platform and deliver data-driven CRM solutions. In a hybrid setup, you will work closely with IT and Data teams to build robust data pipelines and scalable ML models.

You will design models for retention, anomaly detection, and forecasting, while advancing MLOps, feature stores, and cloud-based processing with Azure Databricks. This role emphasizes collaboration, learning, and professional growth.