Informacje o stanowisku
Develop yourself and the digital future – at Reply!
Reply is made up of a network of highly specialised companies, which support leading industrial groups in defining and developing business models to optimise and integrate processes, applications and devices, using new technology and communication paradigms, such as Artificial Intelligence; Big Data; Cloud Computing; Digital Communication; Internet of Things; Mobile and Social Networking.
Benefits
- Successfully completed university degree in Computer Science, Data Science, Mathematics or a related field
- Practical experience delivering Generative AI solutions and a solid understanding of LLM architectures and limitations
- Strong Python engineering skills, including clean code practices and software engineering best standards
- Hands-on experience with Git-based code versioning and working with CI/CD pipelines as a user
- Experience with productive ML and GenAI platforms and cloud-based environments (e.g. Databricks, AWS, Azure or GCP)
- Fluent communication skills in English and Polish and availability to work in a hybrid mode with 1–2 office visits per week.
- Successfully completed university degree in Computer Science, Data Science, Mathematics or a related field
- Practical experience delivering Generative AI solutions and a solid understanding of LLM architectures and limitations
- Strong Python engineering skills, including clean code practices and software engineering best standards
- Hands-on experience with Git-based code versioning and working with CI/CD pipelines as a user
- Experience with productive ML and GenAI platforms and cloud-based environments (e.g. Databricks, AWS, Azure or GCP)
- Fluent communication skills in English and Polish and availability to work in a hybrid mode with 1–2 office visits per week.
Develop yourself and the digital future – at Reply!
Reply is made up of a network of highly specialised companies, which support leading industrial groups in defining and developing business models to optimise and integrate processes, applications and devices, using new technology and communication paradigms, such as Artificial Intelligence; Big Data; Cloud Computing; Digital Communication; Internet of Things; Mobile and Social Networking.
Benefits
- Successfully completed university degree in Computer Science, Data Science, Mathematics or a related field
- Practical experience delivering Generative AI solutions and a solid understanding of LLM architectures and limitations
- Strong Python engineering skills, including clean code practices and software engineering best standards
- Hands-on experience with Git-based code versioning and working with CI/CD pipelines as a user
- Experience with productive ML and GenAI platforms and cloud-based environments (e.g. Databricks, AWS, Azure or GCP)
- Fluent communication skills in English and Polish and availability to work in a hybrid mode with 1–2 office visits per week.
,[As a Machine Learning Engineer with a focus on classical ML as well as Generative AI, you are responsible for the technical design, implementation, and operation of enterprise-grade ML & GenAI solutions. You work in a tandem setup with an internal colleague who manages stakeholder communication and overall delivery, allowing you to concentrate on the technical realization, integration, and operational stability of ML & GenAI use cases., Design, train and optimize classical machine learning and Generative AI models for enterprise-grade use cases, Build and maintain end-to-end ML and GenAI pipelines including data preparation, feature engineering, training, validation, deployment and monitoring, Ensure robustness, performance and reproducibility of ML and GenAI solutions running in production, Integrate LLM-based solutions using APIs and GenAI frameworks into existing system landscapes, Collaborate closely with internal ML engineers and data teams on technical design, implementation and operational topics Requirements: Python, AI, LLM, CI/CD Pipelines, ML, GenAI platforms Tools: . Additionally: Sport subscription, Training budget, Private healthcare, Flat structure, Lunch card, Small teams, International projects, Free coffee, Bike parking, Free beverages, Mobile phone, In-house trainings, Modern office, Startup atmosphere, No dress code.
Praca KatowiceDoradca podatkowy w Polsce KatowicePracownicy uczelni w Polsce KatowiceKatowice - Oferty pracy w okolicznych lokalizacjach
