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 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 #LI-EU About Accenture Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities. Visit us at [www.accenture.com](http://www.accenture.com/) Equal Employment Opportunity Statement We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, sexual orientation, gender identity or expression, marital status, citizenship status or any other basis as protected by applicable law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.