Machine Learning and AI Scientist

Our client, a global semiconductor leader, is embarking on a groundbreaking project that pushes the boundaries of technological advancement. Through the seamless integration of analog, digital, and software technologies, they're empowering breakthroughs in digitized manufacturing, mobility solutions, digital healthcare, environmental sustainability, and the interconnection of humanity with the world. With an impressive FY22 revenue exceeding $12 billion and a global workforce of around 25,000 professionals, the client is committed to redefining what's achievable. Role Overview: Machine Learning and AI Scientist The Machine Learning and AI Scientist, as part of this third-party engagement, holds a pivotal role in propelling innovation within healthcare diagnostics. This collaborative initiative marries advanced research with practical product development, aiming to not only redefine the boundaries of the current state-of-the-art but also translate these advancements into tangible real-world impact. The role involves seamless collaboration with a diverse array of professionals, ranging from manufacturing experts to medical practitioners conducting clinical trials. We are actively seeking a proficient machine learning and AI scientist to join this endeavor and contribute to the development of cutting-edge diagnostic technologies. Key Responsibilities: Development of novel algorithms tailored to applications central to diagnostic systems. Swift prototyping of machine learning and signal processing pipelines to enhance diagnostic accuracy in relevant applications. Collaboration with fellow researchers and engineers to construct and efficiently validate machine learning algorithms using simulations and real-world data from hardware systems. Staying updated on the latest algorithmic advancements and driving innovations that surpass the current state of the art. Qualifications: PhD in computer science or equivalent practical experience. Profound expertise in machine learning, optimization, and deep neural networks. Demonstrated track record of developing machine learning algorithms for real-world applications. Ability to leverage real-world data to enhance machine learning-based systems. Strong mathematical foundation. Preferred experience with time series analysis algorithms. Interdisciplinary team collaboration experience is a plus. Proficiency in programming languages such as Python, C++, and MATLAB. Joining this dynamic collaboration offers the chance to contribute to shaping the future of technology and making a global impact. This contract opportunity provides a platform for self-motivated individuals passionate about driving innovation forward on behalf of our esteemed client.