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Generative AI Engineer

Accenture na Slovensku·Worldwide·Remote·mid
pythonc#restdockerkubernetesawsgcpazurelinuxhadooptensorflowpytorchmlllmdata science
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Listed as a remote role based in Bratislava, Bratislava, Slovakia. Who We Are Accenture is a leading global provider of a broad range of professional services in strategy and consulting, interactive marketing, information technology and business operations services, with digital capabilities in all of these areas. With more than 800,000 employees worldwide, we serve clients in more than 120 countries. We have been operating in Slovakia since 1992 and employ more than 2,100 people in Bratislava and Košice. Accenture globally has ranked 4th on the Great Place to Work® World’s Best Workplaces™ . 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 YOUR MISSION 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-premises 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’S IN IT FOR YOU? Flexibility: Flexible working arrangements (time & place of work) Recognition: Guaranteed paid overtime or overtime vacation German language bonus up to 400€ monthly/gross depending on language proficiency and level of seniority Flexible Benefit System - budget to be spent on services of your choice Competitive bonus structure Refer-a-Friend – get a bonus in the employee referral program Loyalty rewards Future: Wide range of trainings and expert lectures Regular performance review and career growth possibilities Ongoing career guidance and mentoring (Global Mentoring Program, Lean In) Employee share purchase plan Family & Health: 3 extra days off Sick leave salary compensation (up to 100%) Home-office equipment Family oriented benefits (Wedding, Parental and Baby days-off and bonuses) Employee assistance services (professional psychological, financial and legal help) Multisport card Contribution to special vision correction appliances Life and disability group insurance Sport vouchers for children’s sport activities and children camps Compensation at Accenture varies depending on a wide array of factors including but not limited to role, level, location, effort, responsibility, skillset, and level of experience. The range of base pay for this role is 1 610€ - 3 150€. Who You Are 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 University degree in Technology or Information Systems English at B2+ (you’ll use it daily) Show more Show less Seniority level Mid-Senior level Employment type Full-time Job function Engineering and Information Technology Industries IT Services and IT Consulting

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