Senior AI Engineer: Build Production ML Pipelines on Azure

Accenture Portugal; Lisboa; Híbrido; EUR 70 000 - 100 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Health insurance

Life Insurance and Pension Plan

Office medical services at the office

Wellness programs

Flexben Program

Employee Share Purchase Plan

Udemy access

Plurisight Plataforms access

Hybrid working model

Resumo da oferta

Accenture Portugal is seeking a senior data/ML engineer to design, operate and optimize end‑to‑end data and ML pipelines in production. You will integrate ML models, build streaming and batch pipelines with PySpark, and ensure robust observability and governance in Azure environments.

The role requires 7–10 years of experience, strong Python/SQL skills, and collaboration across distributed teams. A hybrid work model is offered along with comprehensive benefits.

Qualificações

• 7 to 10 years of relevant work experience.
• Experience in data/AI production environments.
• Experience in incident/support environments.
• Experience with Python (production usage), SQL and SQL‑based database systems.
• Knowledge in PySpark/Spark and Azure (Synapse, Data Lake, Databricks) plus CI/CD and DevOps tools.

Responsabilidades

• Design, operate and troubleshoot end‑to‑end data and ML pipelines in production environments.
• Integrate and run ML/AI models, ensuring correct handling of inputs, outputs and data changes.
• Build and maintain batch and streaming pipelines using Spark/PySpark.
• Monitor systems using logs, metrics and alerts for operational stability.
• Contribute to CI/CD pipelines and DevOps practices for data and ML workloads on Azure.
• Collaborate with backend, platform and business teams in distributed environments.
• Develop production‑grade solutions using Python, SQL, JSON/YAML, Git.
• Implement and debug pipelines on Azure (Data Lake, Databricks).
• Use ML experimentation tools and notebooks (MLflow, Weights&Biases, DatabricksML).
• Ensure idempotent processing, performance profiling and safe re‑runs.
• Apply data validation, sanity checks and numerical precision awareness.
• Ensure observability through log and metric interpretation.
• Apply basic access control (RBAC) and secure data handling practices.
• Work within regulated environments (Financial Services).
• Participate in Agile delivery, documentation practices and incident awareness.
• Model lifecycle awareness and understand assumptions/limitations.
• Be aware of compliance constraints.

Conhecimentos

Communication

Collaboration

Ownership

Incident management

Prioritization

Formação académica

Bachelor's degree in CS

IT degree

Ferramentas

Python

SQL

PySpark

Spark

Azure Synapse

Databricks

Azure DevOps

CI/CD

Git

Monitoring tools

Descrição da oferta de emprego

Accenture Portugal is seeking a senior data/ML engineer to design, operate and optimize end‑to‑end data and ML pipelines in production. You will integrate ML models, build streaming and batch pipelines with PySpark, and ensure robust observability and governance in Azure environments.

The role requires 7–10 years of experience, strong Python/SQL skills, and collaboration across distributed teams. A hybrid work model is offered along with comprehensive benefits.