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Generative AI Engineer
Bucharest
Job No. r00295635
Full-time - Remote
Description Du Poste
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+ years of experience in Software engineering
1+ years of experience in Data Science and Machine Learning
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
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