Requirements: English
Company: European Tech Recruit
Region: amsterdam area, netherlands ,
Information Retrieval Algorithm Engineer
Onsite - Contract - Full-time
Location: Amsterdam
Are you passionate about cutting-edge AI and machine learning? We are looking for a talented Information Retrieval Algorithm Engineer to join our team and revolutionize the way users interact with generative models. This is an exciting opportunity to work at the forefront of technology, building and optimizing models that improve information retrieval and enhance user experiences in multimodal scenarios.
What You''ll Do:
- Design and develop advanced information retrieval models, creating robust Retrieval-Augmented Generation (RAG) systems.
- Enhance reasoning capabilities of large language models (LLMs) and minimize inaccuracies or hallucinations.
- Conduct state-of-the-art research in NLP, machine learning, and information retrieval.
- Develop scalable algorithms to improve performance and efficiency.
- Collaborate with cross-functional teams to integrate cutting-edge RAG solutions into real-world products.
- Work with large-scale datasets for data collection, pre-processing, and performance benchmarking.
- Stay ahead of the curve by keeping up-to-date with the latest advancements in AI and related fields.
What You''ll Bring:
- Masters or Ph.D. in Computer Science, Electrical Engineering, or related fields with expertise in NLP, ML, or IR.
- Proficiency in Python and experience with ML frameworks like PyTorch.
- Solid understanding of advanced deep learning architectures, including transformers, BERT, GPT, and similar technologies.
- A track record of research excellence, demonstrated by publications in top conferences or journals.
- Strong analytical and problem-solving skills, with attention to detail.
- Ability to thrive in both independent and team-oriented environments.
Preferred Skills:
- Experience with automatic speech recognition (ASR).
- Knowledge of retrieval-based models such as vector space models, BM25, or neural retrieval methods.
- Familiarity with knowledge bases, information extraction, and question-answering systems.
- Background in software development and engineering best practices.
Why Join Us?
This role offers a chance to work on transformative projects that leverage large-scale datasets and cutting-edge AI techniques to solve real-world challenges. You''ll collaborate with an innovative team of researchers and engineers, pushing the boundaries of what''s possible in AI.
Apply today and become part of a team shaping the future of information retrieval and generative models!