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, intelligence and experience together to shape robust, secure and 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;