AI engineer in ML pipelines

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, intelligence and experience together to shape robust, secure and scalable digital solutions.

• 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.

• 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);
• 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.
• Must own a valid work permit or EU/Schengen Space Nationality to legally work in Portugal
• Будет плюсом: French or Dutch is a plus

• 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.