Czym będziesz się zajmować? Key Responsibilities:Leverage cloud-based AI services (AWS) to build scalable, robust, and secure AI applications.Python-based automation and deploymentsDevelop generative AI models to address specific business challenges and enhance product offerings.Conduct in-depth data engineering pipelines with data quality and automation as first principleCollaborate closely with data scientists and stakeholders to integrate and optimize AI solutions within existing systems.Continuously evaluate and refine models based on feedback and performance metrics to ensure accuracy and efficiency.What We Offer:Work in an international team.Collaborate with some of the largest private equity groups in the world.Opportunities for career growth and advancement.Autonomy in decision-making.Participation in building a new global company.Team integration events.

Kogo poszukujemy? Qualifications:Education:Advanced degree (MSc or PhD) in Mathematics, Computer Science or related field.Experience:Expertise in automation and workflow orchestration & automation.Proven experience in AI engineering, Machine Learning (ML), and GenAI.Expertise in developing and deploying Large Language Models (LLMs), NLP, and Generative AI.Practical experience deploying AI solutions on AWS, including familiarity with services such as SageMaker, AWS Lambda, AWS Glue, AWS Bedrock, EC2, and related AI/ML platforms.Technical Skills:Proficient with modern data stack especially Snowflake or DatabricksHands-on experience with Python developmentSolid understanding of statistical analysis.Experience with containerization technologies such as Docker or orchestration platforms like Kubernetes.Familiarity with CI/CD practices and tools for AI model deployment. GitHub and Git experience is required.Certifications:Relevant AWS certifications (AWS Certified Machine Learning Specialty, AWS Solutions Architect).Key Competencies:Strong analytical skills and experience working with large datasets.