The Alien Technology Transfer Group leads top-class innovators to success by converting visionary ideas into tangible realities. In Alien Technology Transfer AI Lab, we are on a mission to accelerate the adoption of Artificial Intelligence for next-generation enterprise applications. Among them, we are currently creating an innovative product for the creation of highly customized technical and business documents based on the use of Large Language Models such as GPT-4, LLAMA, and light Transformer model based on the BERT architecture DistilBERT, as well as a cloud-based application to mitigate factual inaccuracies and cognitive biases when reading digital content for investment analysis.We are also involved in a European collaborative project to develop a new class of contextually aware chatbots, uniquely combining small language models with innovative attention mechanisms inspired by cognitive theories of mind. This is a unique opportunity for a Technical Project Manager to be part of a young AI Laboratory's product development and help build and develop an AI platform technology. In this position, you will collaborate with international R&D institutes to create AI with a human-like ability to focus its computational resources and intelligently control that concentration and interact with people in a socially competent manner. The main project involves an integrative approach to awareness engineering to establish consciousness in machines. The ideal candidate will have a passion for artificial (general) intelligence, machine learning, reinforcement learning, NLP, and explainable AI.DUTIES AND RESPONSIBILITIESWork directly on the Venture Studio R&D projects, helping to build a variety of revolutionary technologies; Collaborate with colleagues on production systems and applications; Develop novel, accurate AI algorithms and advanced systems for applications; Design, experiment, and evaluate algorithms as well as models using tools such as PyTorch, Scikit-learn, Tensorflow, and HuggingFace; Build and deploy scalable machine learning pipelines using tools such as MLFlow, Docker, and Kubernetes; Write reports and R&D project deliverable documents; Write, test, and maintain production-quality code.JOB REQUIREMENTSPhD in Computer Science, Machine Learning, Math, Physics, Statistics, Engineering, or relevant industry experience; Proficiency in modern programming languages such as Python; Experience in one or more of the following areas: Deep Learning, Computer Vision, NLP, Speech Recognition, AR/VR, Conversational AI, Robotics; Experience with MLOP technologies and workflow; General knowledge of at least one machine learning research framework (e.G. PyTorch, Tensorflow), and at least one high-performance inference framework.#J-18808-Ljbffr