Investigate and recommend algorithmic/data science solutions to industrial problems
Define and translate ambiguous concepts into well-defined questions, drive analysis of complex datasets for insights, and design data-driven experiments and incubations for emerging AI and ML technologies
Drive the design and architecture of scalable data infrastructure and analytics platforms
Collaborate with cross-functional teams to prototype, pilot and test ML-driven solutions
Contribute to scientific and technical publications on AI/ML research
Requirements
12+ years of experience in data science, advanced analytics, ML engineering, or equivalent industry experience
4+ years in hands-on statistical modeling, machine learning, data pipelines and experimental design
Master's degree in Computer Science, Data Science, Statistics or a related technical field; Ph. D degree preferred
Deep expertise in frontier and emerging AI, ML and data science techniques and best practices
Recent experience with modern AI paradigms such as: world models, foundation models, and multi-modal language models; agent-based systems and orchestration; and context retrieval and augmentation techniques
Experience in responsible deployment practices, model drift mitigation, privacy-preserving federating learning, and AI governance best practices
Proficiency in Python, SQL, R and machine learning libraries