Your main responsibilities:
- Execute prompt engineering and grounding, construction of ML, data mining, and AI models for AI use cases (incl. model selections and fine-tuning as well as design testing and deploying)
- Develop efficient and accurate analytical models that mimic business decisions and incorporate models into analytical data products and tools
- Define data requirements for central IT platform in collaboration with data engineers and software engineers
- Collect, analyze, and interpret large datasets to inform the development of AI-powered agent solutions
- Ensure quality assurance and implement risk controls (maintaining data governance and associated risks)
- Work closely with business stakeholders to understand business needs and requirements, providing data-driven insights and recommendations to inform agent solution development
- Stay up-to-date with emerging trends, technologies, and methodologies in data management, AI, and ML, and apply this knowledge to continuously improve data enabler services and capabilities
Your profile:
- Master's degree (or PhD) (e.g., in computer science, mathematics, physics, engineering, or a related field)
- Several years of experience with working with traditional AI or GenAI solutions
- 3+ years of working experience in data science (or in similar roles)
- Proficiency in defining post-processing guardrails, and building satellite ML models
- Knowledge of natural language processing, hyperparameter/LLM finetuning, and optimally reinforcement learning from human feedback (RLHF)
- Experience with data visualization tools and specialization in NLP and text, image, and video
- Strong programming skills in common programming languages (e.g., Java, C++, Python, Ruby, R)
- Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams
- Business proficiency in English (C1) and German (C1) are required.
Benefits:
- Flexibility: Mobile work (option to work from home a few days a week), 30 days of vacation
- Asset Accumulation & Retirement Planning: Company pension system & employee savings plan
- Development: Intensive professional & personal development (internal & external offerings), LinkedIn Learning access
- Health: Comprehensive company doctor services, Urban Sports cooperation
- Family: pme family service, childcare allowance, care assistance, cooperation with daycare centers, flexible working hours
- Other: Daily free lunch in our cafeteria, Free hot drinks & water, "Deutschland Ticket Job" subsidy, Events, Underground parking garage with e-charging infrastructure & much more!
