Offer:Flexibility: Mobile work (option to work from home a few days a week), 30 days of vacationAsset Accumulation & Retirement Planning: Company pension system & employee savings planDevelopment: Intensive professional & personal development (internal & external offerings), LinkedIn Learning accessHealth: Comprehensive company doctor services, Urban Sports cooperationFamily: pme family service, childcare allowance, care assistance, cooperation with daycare centers, flexible working hoursOther: Daily free lunch in our cafeteria, free hot drinks & water, "Deutschland Ticket Job" subsidy, events, underground parking with e-charging infrastructure & much more!*Please note that this list is based on current collective agreements. These may change. The list is for information purposes only. We do not accept any liability for individual points.MEAG stands not only for a partnership-based relationship with customers but also for fair treatment of applicants and employees, regardless of gender. The use of masculine forms of personal designations is purely for readability. Applicants with disabilities will be given preferential consideration if they are otherwise equally qualified.Profile:Master’s degree (or PhD) in fields such as computer science, mathematics, physics, engineering, or related areasSeveral years of experience with traditional AI or GenAI solutionsOver 3 years of experience in data science or similar rolesProficiency in defining post-processing guardrails and building satellite ML modelsKnowledge of natural language processing, hyperparameter/LLM finetuning, and reinforcement learning from human feedback (RLHF)Experience with data visualization tools and specialization in NLP, text, image, and video processingStrong programming skills in languages like Java, C++, Python, Ruby, RExcellent communication and collaboration skills for effective teamworkBusiness proficiency in English (C1) and German (C1) is required #J-18808-Ljbffr