Your mission is to push the boundaries of planning, reasoning, and agentic intelligence. You will design and implement large-scale AI/ML solutions integrating the latest state of the art research in our global products.
Comprehensive experience leading ML/AI initiatives and teams in a fast-paced environment, particularly in generative AI, traditional ML, and knowledge graphs
Demonstrated ability to work cross-functionally and influence product development through a combination of technical leadership and user-centered thinking.
Hands-on experience designing and building GenAI platforms that allow users to experience AI applications supporting features like agent orchestration, multi-step reasoning, prompt engineering, RAG integration, and model selection
Strong programming skills in Python, Java, or similar languages, with an emphasis on AI/ML systems development and platform engineering. Experience with TensorFlow, PyTorch or Keras,
B.S, M.S. or PhD Degree in Computer Science/Engineering, or equivalent work experience
Experience working in multinational or distributed teams, especially across Europe and the U.S.
In-depth understanding of large language models (LLMs) and their application in AI-driven solutions, including inferencing, embedding, and knowledge base integration (RAG) for improved data retrieval and contextualization
Deep knowledge of LLM inference optimization techniques, including prompt tuning, caching, quantization, and latency reduction across different model families
Hands-on experience with building or fine-tuning AI agents and deploying models in production environments
Familiarity with research papers, implementing state-of-the-art methods, and adapting them to practical applications
Published research in the field of Machine Learning, AI or Computer Vision