Role Summary
As a Data Scientist (Generative AI), you will join a dynamic team responsible for building intelligent AI-driven applications such as virtual assistants and process optimization tools. Your role is essential in enhancing customer experience, optimizing internal workflows, and delivering smart automation solutions using cutting-edge AI techniques.
Responsibilities
- Design and develop innovative Generative AI applications for diverse business use cases.
- Leverage analytical methodologies, including generative AI (GenAI) and predictive AI, to solve real-world challenges.
- Work with techniques like Prompt Engineering, Retrieval-Augmented Generation (RAG), fine-tuning pre-trained models, speech-to-text, agent-based AI, and image processing.
- Collaborate in an Agile team environment to develop production-ready AI applications.
- Utilize rich datasets to build models that create real business impact.
- Present insights and outcomes to senior management and key stakeholders.
- Continuously learn and adapt to new AI/ML technologies and tools.
Required Skills & Experience
- Minimum 3 years of hands-on experience in Data Science and Machine Learning.
- Strong proficiency in Python and deep learning frameworks.
- Proven experience in developing and deploying Generative AI applications.
- Solid understanding of model lifecycle, pre-trained models, and model fine-tuning.
- Experience working with structured and unstructured data sources.
- Ability to work autonomously and drive AI initiatives from concept to production.
Preferred Tools & Technologies
- GenAI frameworks: LangChain, Haystack
- Version control: Git
- ML platforms: Domino
- Experience with AI applications in the Finance domain is a strong plus.
Soft Skills
- Strong team player and collaborator.
- Quick self-starter with a proactive and business-oriented mindset.
- Excellent communication and influencing skills.
- Strong analytical and synthesis capabilities.
- Commitment to innovation, ownership, and perseverance.
- Adaptability to dynamic and multicultural work environments.
Educational Background
- Master’s degree in a quantitative field (e.g., Statistics, Mathematics, Engineering).
- Candidates with other academic backgrounds and strong analytics experience are welcome to apply.
Job Category: IT
Job Type: Hybrid
Job Location: Belgium
