MACHINE LEARNING ENGINEER – GENERAL ML

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 MEDICAL CARE BENEFITS PLATFORM TRAINING OPPORTUNITIES LANGUAGE COURSES PLATFORM COMPANY EVENTS Motivizer Benefits Platform to choose and manage all your benefits in one place. You receive a budget (550 PLN monthly). You can choosemedical care package, meal tickets, sports cards (we have Multisport and on preferential terms, we have membership cards to one of the most popular Gyms),cinema tickets, shop vouchers, discounts and many more. Language Courses –you'll have access to a multi-language learning platform enabling you to practice you language skills and learn new ones Regular and systematic furthertraining opportunities - both internally and from external providers. We support your ongoing learning and development. Cooperation within an internal community is our everyday reality. We havenetworking events, coding challenges, and company parties for different occasions. Qualifications 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. How to become a Replyer Level 1 Your application You found an opportunity that suits you and your abilities? Perfect Use our application form to send us your resume and credentials. Once we received your documents, you will get a confirmation via email. Level 2 Our reply We will now review your application and come back to you as soon as possible. If it’s a match, we will contact you for an interview. Level 3 Your interview Is it a fit? Do we match your expectations? What about the job requirements and the workplace? All that will be covered in the interview. If more than one Reply company is suitable for you, you have the possibility to participate in several interviews #J-18808-Ljbffr