Consultant Data Science (NLP Focus) | Consultant Data Science (w/m/d) Fokus NLP
statworx
Job Summary
As a Consultant Data Science with a focus on Natural Language Processing (NLP), you will be instrumental in designing and implementing advanced Generative AI and NLP systems for diverse clients. Your day-to-day responsibilities will involve conceiving solutions that optimize performance, latency, cost, and scalability, while engaging closely with various stakeholders and client representatives. You will act as a project developer, subject-matter expert, or technical lead, tackling a range of use cases from knowledge management with Retrieval Augmented Chatbots to fine-tuning language models for NLP pipeline efficiency. A key part of the role involves implementing robust and scalable ML pipelines using MLOps/LLM-Ops best practices across cloud infrastructures like Azure, AWS, and GCP. This position offers the opportunity to contribute to product development, portfolio expansion, and marketing content creation, while staying abreast of the latest NLP and AI advancements to deliver cutting-edge solutions. The role is ideal for someone passionate about applying deep learning and generative AI to solve complex business problems.
Required Skills
Education
Not specified
Experience
- Extensive knowledge in Machine Learning & Deep Learning, especially Transformers, LLMs, and Generative AI
- Experience applying common tools and methods for NLP use cases (e.g., HuggingFace Transformers, OpenAI APIs, SentenceTransformers, Tokenizers, Deployment, Inference Servers, Dataset Creation)
- Experience with productive use of ML frameworks, especially PyTorch
- Knowledge of and ideally practical experience with State-of-the-Art approaches (e.g., QLoRA PEFT, Automated Prompt Engineering, Open-Source Models, Code LLMs, Multimodal Approaches, IFT, Dataset Generation)
- Initial experience with Cloud Deployments and MLOps (e.g., on Azure, GCP, or AWS)
Languages
Additional
- Occasional business trips to customer sites in Germany, Austria, and Switzerland.
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