Conversational AI Engineer
Vor 2 Tagen
We are seeking a highly skilled Senior Conversational AI Engineer to join our team at DigitalTwin Technology GmbH. With a focus on developing and deploying cutting-edge conversational AI solutions, you will play a key role in shaping the future of intelligent systems.
About the RoleIn this exciting position, you will design, develop, and optimize Retrieval-Augmented Generation (RAG) models to enhance information retrieval and generation across various industries. You will leverage vector databases and advanced indexing techniques to efficiently store, manage, and retrieve relevant data, ensuring accurate and contextually relevant responses in our conversational AI systems.
Key Responsibilities- RAG Model Development: Create and refine RAG models to improve information retrieval and generation capabilities in conversational AI systems.
- Advanced Indexing Techniques: Utilize vector databases and cutting-edge indexing methods to optimize performance for diverse conversational contexts across different sectors.
- Large Language Model Fine-Tuning: Customize and optimize large language models, such as GPT, for specific applications across multiple industries, tailoring their accuracy and relevance to meet varied use cases.
- NLP/NLU/NLG Techniques: Experiment with and apply state-of-the-art Natural Language Processing (NLP), Natural Language Understanding (NLU), and Natural Language Generation (NLG) methods to continually enhance the capabilities and performance of our AI-driven solutions.
- Bachelor's degree or higher in Computer Science, Engineering, Mathematics, or related field. Advanced degree preferred.
- 5+ years of experience in machine learning engineering, with a focus on building and deploying conversational AI solutions.
- Proven expertise in developing RAG models, working with vector databases, and fine-tuning large language models.
- Strong programming skills in Python and proficiency with machine learning libraries such as TensorFlow, PyTorch, or JAX.
- Experience with cloud platforms (e.g., AWS, Azure, GCP) and containerization technologies (e.g., Docker, Kubernetes).
- $120,000 - $180,000 per year, depending on experience.
- Opportunities for professional development and growth in a dynamic and supportive work environment.
- A competitive benefits package, including health insurance, retirement plan, and paid time off.
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