Data Scientist 4
Core
Design, develop, and deploy end-to-end AI/ML and Generative AI solutions to support critical business needs and drive innovation in semiconductor sustainability.
Role type
Senior IC machine learning engineer (AI/ML architecture & MLOps)
Builds
Scalable AI/ML and Generative AI solutions, production-ready models, and modern data science ecosystems
Domain
Semiconductors / AI & Machine Learning
Deliverable
production ML models
Required skills
Python, R, ML/DL frameworks, cloud platforms (Azure/AWS/GCP), big-data technologies (Hadoop, Spark), MLOps, model deployment, agile methodologies
Preferred skills
Large-scale AI/ML or GenAI architecture design, building highly scalable production ML systems, advanced statistical modelling, guiding teams in high-impact technical environments
Technologies
Azure, AWS, GCP, Hadoop, Spark
Responsibilities
Design and deploy end-to-end AI/ML and Generative AI solutions; Build scalable machine learning architectures; Develop production-ready models on cloud environments; Partner with stakeholders to translate business problems into technical solutions; Lead technical design discussions and guide teams; Establish monitoring, governance, and fail-safe mechanisms; Deliver rapid POCs and extract insights from complex datasets
Seniority
Senior, hands-on IC
