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Accenture

Advises businesses and runs their technology

AI/ML Engineer – Junior/Mid/Senior

Applied Machine LearningConfirmed live in the last 24 hours
Full-timeNo salary listed

About the Job

Requirements

  • At least 2 years of experience applying data-driven approaches to business scenarios, including designing and deploying advanced analytics and machine learning algorithms.
  • At least 1 year of experience within that 2-year period working with generative AI or agentic AI technologies to build scalable AI/ML solutions.
  • Experience with Python-based AI frameworks such as LangChain, LangGraph, CrewAI, AutoGen, LlamaIndex, Hugging Face Transformers, or Google ADK.
  • Experience delivering analytical projects using one of the listed cloud platforms: GCP services including Vertex AI, Vector Stores, or AI Agents; Azure Machine Learning, OpenAI, AI Foundry, or AI Search; or AWS SageMaker, Athena, Forecast, Rekognition, or Bedrock.
  • Solid understanding of machine learning and data science techniques, including clustering, regression, classification, forecasting, neural networks, hyperparameter optimization, natural language processing, and large language models.
  • Ability to translate complex business requirements into robust, data-driven solutions.
  • Professional working proficiency in English.
  • Willingness and ability to travel to client locations across Europe and occasionally beyond for short- or long-term engagements, depending on project needs.

Responsibilities

  • Contribute to AI initiatives by applying creativity, critical thinking, and analytical skills.
  • Design and implement scalable AI/ML solutions using cloud, generative, and agentic AI technologies.
  • Work in agile, cross-functional teams combining technical, business, and data science expertise.

Desired Qualifications

  • Experience designing AI architectures.
  • Full-stack large language model engineering experience.
  • Experience building agentic AI systems.
  • Experience developing retrieval-augmented generation solutions.
  • Experience implementing vector-based retrieval architectures.
  • Experience applying advanced prompt engineering techniques.
  • Experience working with computer vision technologies.
  • Experience applying responsible AI principles.
  • Hands-on experience with Databricks.
  • Familiarity with MLOps tools and practices such as MLflow, Kubeflow, or Airflow.
  • Cloud and AI certifications such as Azure Data Science Associate, Azure AI Engineer, Google Cloud Professional Data Engineer, Google Cloud Data Analytics Professional, or Databricks ML Professional.

About the Company

Accenture

Advises businesses and runs their technology

Accenture advises large businesses and public agencies on strategy, builds their technology systems and runs ongoing operations. Its teams connect business planning with implementation, covering areas such as cloud migration, cybersecurity and customer experience. Consultants work with clients to redesign processes, while engineers integrate software from technology partners and maintain the resulting systems for multinational organizations. Clients pay for project work or continuing services, including application support and business processes such as finance and customer service. Accenture was founded in 1989 and has its headquarters in Dublin, Ireland.

Company size
10,001+
Company stage
IPO
Headquarters
Dublin, Ireland
Founded
1989

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