Play a key role in designing and implementing advanced machine learning solutions for scalable, production-grade systems. You will support our client from the biopharmaceutical industry and collaborate with cross-functional teams to deliver impactful data-driven solutions that align with business objectives.This hybrid role requires working from the client’s office in Warsaw at least 1–2 days per week.Sii ensures that all employment-related decisions are made solely on the basis of qualifications, competencies, and performance. We are committed to equal treatment of all individuals, regardless of any protected characteristics, and promote a diverse and inclusive work environment.Your tasks Designing, developing and implementing machine learning algorithms and statistical models to address complex business challenges Conducting experimentation, iterative testing and evaluation to optimize model performance, accuracy, and scalability Extracting actionable insights through advanced analytics to ensure alignment with business objectives and strategy Collaborating with Data Engineers and Software Engineers to integrate, deploy, and monitor ML solutions in production environments Mentoring junior team members, conducting peer reviews, and promoting best practices in data science Supporting AWS Cloud engineering activities Requirements Minimum 5 years of hands-on experience with machine learning algorithms and statistical modelling Master’s or Ph.D. degree in Computer Science, Engineering, Physics, or related quantitative field Proficiency in Python and ML frameworks such as TensorFlow, PyTorch, or scikit-learn Strong experience with AWS-based ML development Familiarity with containerization (Docker, Kubernetes) and CI/CD tools Solid knowledge of SQL and data preprocessing techniques Ability to communicate complex concepts clearly to diverse stakeholders Fluent Polish required Residing in Poland required Nice-to-have requirements Experience with pharma industry data platforms (Veeva, IQVIA) Expertise in deploying and managing NLP and LLM models Knowledge of transformer architectures, prompt engineering, and generative AI applications