Lead AI Engineer responsible for setting vision, building team, and delivering AI solutions at scale in semiconductor manufacturing.
Responsibilities
Define AI strategy and architecture for integrating machine learning into core engineering and manufacturing processes.
Partner with tool, process, and applications engineers to map as-is processes and define a to-be AI/automation architecture and deliver measurable outcomes.
Ship agentic assistants for use-cases. Stand up LLM + RAG + tool integrations that help engineers accelerate tool operation/setup/maintenance and explain trade-offs.
Lead projects across predictive maintenance, computer vision, LLM-based engineering assistants, process optimization, simulation and digital twins.
Build retrieval-augmented AI assistants to query internal knowledge bases, tools, and logs.
End-to-end ownership of a strategic customer intelligence platform combining ML, GenAI, and large-scale transaction data to identify customer patterns and support personalization and marketing.
Compensation
Broadband Salary Range: $64,000 – $106,000.
Responsibilities
Lead the technical transition of the third party-developed engine into a fully owned CTC capability.
Master existing code, prompts, models, data pipelines, and architecture.
Run the production platform end-to-end, including scheduled scoring, catalogue refreshes, model and prompt releases, and pipeline monitoring.
Own ML capabilities including transaction classification, clustering, feature development, model validation, and drift management.
Own GenAI capabilities including prompt architecture, context construction, model selection, and prompt tuning.
Lead and develop a team of data scientists to deliver advanced analytics, machine learning and AI solutions that create measurable business value.
Responsibilities
Lead and develop a team of data scientists
Oversee end-to-end delivery of complex data science projects
Manage priorities and resources
Establish delivery standards
Ensure analytical solutions are delivered on time, within budget and to a high quality
Requirements
Degree in Data Science, Statistics, Mathematics, Computer Science, Engineering or a related quantitative discipline, or equivalent practical experience
A Technology Lead role focused on Big Data, Data Processing using Spark, specifically within the healthcare domain involving AI and Generative AI solutions.
Senior Databricks Data Engineer role focused on Healthcare AI and Generative AI solution development, designing scalable data engineering solutions for complex healthcare data.
Responsibilities
Provide strong expertise in Databricks, Apache Spark, Scala, Advanced Python, and SQL.
Develop Healthcare AI and Generative AI (GenAI) solutions.
Process and analyze both structured and unstructured healthcare data.
Design, develop, and implement scalable data engineering and AI-driven solutions to address complex healthcare business requirements.
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