Junior AI Engineer

Accenture Portugal; Lisboa; Hybrid; EUR 28,000 - 42,000; Full time

Benefits offered by this job

Health insurance

Life insurance and pension plan

Hybrid working model

Wellness programs

Training paths with Udemy/Pluralsight

Job summary

Accenture Digital Core in Portugal is seeking a Junior Data & AI Operations Engineer to support data and ML pipelines in production. You will validate data, monitor systems, and collaborate with cross-functional teams to implement robust streaming and batch processes on Azure.

Required are a university degree in a technical field, 1-3 years of experience, and hands-on skills in Git, SQL, Python and notebooks. A hybrid work model is offered along with comprehensive benefits.

Qualifications

• University degree in Computer Science, Software Engineering, Information Technology, Engineering, or a comparable technical field.
• 1-3 years of relevant work experience.
• Experience with Git, notebooks, data validation and SQL is required.

Responsibilities

• Support operation and troubleshooting of data and ML pipelines in production.
• Perform data validation and sanity checks to ensure data quality.
• Assist in monitoring systems using logs and alerts.
• Collaborate with backend, platform and AI engineers in cross-functional teams.
• Contribute to data and AI solutions using Python, SQL, JSON/YAML and Git.
• Support CI/CD and DevOps practices for data workloads on Azure.

Skills

Git version control

Notebooks (Synapse)

Data validation

SQL

Python

CI/CD

Education

University degree in Computer Science / Software Engineering / IT

Tools

Azure Synapse

Azure Data Lake

Databricks

Job description

Accenture Digital Core At

Accenture Digital Core, we help clients continuously innovate at speed and at scale, combining deep industry expertise with cutting-edge technology to deliver meaningful transformation.You will bring innovation,intelligenceand experience together to shape robust,secureand scalable digital solutions.

What You'll Do

• Support the operation and troubleshooting of data and ML pipelines in production;
• Perform data validation and sanity checks to ensure data quality and reliability;
• Use Git to collaborate on code changes and follow version control best practices;
• Assist in monitoring systems using logs and basic alerts;
• Assist in building and maintaining batch and streaming pipelines using Spark / PySpark;
• Support CI/CD pipelines and DevOps practices for data and ML workloads on Azure;
• Collaborate with backend, platform and AI engineers in distributed and cross-functional teams;
• Contribute to data and AI solutions using Python, SQL, JSON/YAML and Git;
• Implement and inspect pipelines on Azure and use notebooks to test logic and support model inputs;
• Use ML experimentation tools (MLflow, Weights & Biases, Databricks ML) to support model validation and analysis;
• Apply data validation, sanity checks and basic numerical precision awareness to detect inconsistencies and anomalies;
• Support pipeline execution, basic troubleshooting and safe rerun practices;
• Ensure observability through basic log and alert interpretation;
• Apply secure data handling principles and adhere to compliance constraints;
• Follow Agile delivery and documentation practices;
• Maintain awareness of model lifecycle concepts, assumptions and limitations.

What You Bring

• University degree in Computer Science, Software Engineering, Information Technology, Engineering, or a comparable technical field;
• 1-3 years of relevant work experience;
• Experience with Git (version control), Notebooks (e.g. Synapse), Data validation / sanity checks and SQL is a must;
• Basic experience with Python and basic understanding of ML/AI concepts
• Exposure to data or AI environments (academic, internship or early professional experience);
• Familiarity with Azure services (Synapse, Data Lake, Databricks);
• Awareness of monitoring concepts (logs, alerts);
• Interest in CI/CD and DevOps practices;
• Professional English (C1 Level required in spoken and written);
• French or Dutch is a plus;
• Effective communication with both technical and non-technical stakeholders;
• Strong collaboration skills within distributed and cross-functional teams;
• Proactive mindset with a high sense of ownership and accountability;
• Structured approach to incident and problem management;
• Ability to prioritize workload efficiently in a dynamic environment.

Legal: Must own a valid work permit or EU/Schengen Space Nationality to legally work in Portugal

What We Offer

• Health insurance;
• Life Insurance and Pension Plan Programs;
• Free medical services at the office (Physician, Nutritionist, Psychologist);
• Wellness programs;
• Flexben Program (Support for Education, Kindergarden, Training, Technology, Health);
• Employee Share Purchase Plan;
• Personalized training paths and access to Udemy and Plurisight Plataforms;
• Flex-ability program (financial and flexible support for people with disabilities);
• Special banking conditions;
• Hybrid working model.