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Generative AI Engineer

multiple locations +view all Job No. r00167437 Full-time

Job Description

Bring your talent and passion to Accenture – sharpen your skills, build an extraordinary career and play a key role in creating solutions that transform organizations and communities around the world.

We are a leading global professional services company, providing a broad range of services and solutions in strategy, consulting, digital, technology and operations. With more than 120 countries, we drive innovation to improve the way the world works and lives.

We focus equally on employees’ development by creating a culture of excellence and offering extensive training programs that support professional growth.

In Accenture Technology, we investigate and explore new technologies to determine how our clients can use them – helping their business innovate, grow and improve.


If you are a software engineer with experience dealing with data and putting AI&ML applications in production, we invite you to join the fast-growing Accenture Data Science & Machine Learning Engineering practice in Europe and work as part of a worldwide team of experts. In this position you should be able to build and deliver end-to-end solutions with focus on data science and machine learning components .


Different technologies that you will be able to work with:

  • Python, R

  • PyTorch, Keras, Tensorflow, SciKit, MLlib,

  • Azure ML, AWS SageMaker, GCP

  • Hadoop, Beam, Databricks

  • Docker, Kubernetes

  • Statistics, Probabilities,

  • LLMs, Diffusion Models

  • Generative AI

Our future colleague will do:

  • Convert data science experiments into deployable web services, ensuring high availability and scalability

  • Ship in-house and off-the-shelf machine learning models, including LLMs and Diffusion models

  • Design and implement appropriate data models and flows to meet project requirements (ETL, Embedding Models, Vector Databases, etc.)

  • Orchestrate the deployment of on-premise or cloud-based solutions

  • Create and manage RESTful APIs to manage inference, monitoring and retraining of models

  • Be involved in various stages of analytics/DS&ML projects, from data gathering to MLOps

Qualifications

What will help you succeed:

  • 3+ Software engineering

  • 1+ Data Science and Machine Learning experience

  • Experience using one or more scripting or programming languages like Python, C#, or similar.

  • Proficient with Linux, Docker, distributed computing and similarity search techniques

  • Familiar with data visualization tools like PowerBI, Plotly or similar

  • Familiar with machine learning and deep learning models.

  • Familiar with Large Language Models (LLM) and Diffusion Models (e.g., Stable Diffusion)

  • Experience with processing/modeling big data

  • Experience on cloud technologies like Azure ML/AWS SageMaker or similar.

  • Familiar with MLOps approach and methodology

Reasons for being our colleague:

  • Flexible working arrangements (Flex-work, Home Office)

  • Option to participate on projects abroad

  • Continuous growth in a positive and multicultural work environment

  • Wide range of leading-edge trainings (including language course) 

  • Access to trainings, materials and bootcamps to build/enhance your skills

  • Family oriented benefits

  • Share purchase plan

  • Transparent bonus structure

  • Refer-a-Friend – get a bonus in the employee referral program

Locations

Brasov, Bucharest, Cluj-Napoca, Iasi, Targu-Mures, Timisoara

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