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
Lead the development and integration of AI prototypes and multimodal data pipelines for national security missions.
Compensation
Salary compensation range and midpoint: $143,600 - $179,500 - $215,400 Annual
Responsibilities
Independently develop and integrate prototype capabilities that combine software, data processing, cloud components, and AI methods; apply engineering practices that make them reproducible, testable, and usable by MITRE and sponsor teams.
Assess and adapt research from academia and industry to challenging sponsor data and mission problems.
Design data ingestion, normalization, and ETL workflows for multimodal data; analyze data from multiple mission sources and identify limitations that affect findings.
Select AI methods for mission problems and design experiments to evaluate their performance under sponsor-relevant conditions.
Define and execute technical studies, including hypothesis development, experiment design, implementation, and evaluation.
Requirements
Bachelor’s degree in Computer Science or related field
Master’s degree in Computer Science or related field
PhD in Computer Science or related field
Nice to have: Advanced degree in computer science, engineering, or related disciplines
Nice to have: Experience fusing mission data types such as GEOINT, OSINT, imagery
A
Technology Lead | Big Data - Data Processing | Spark
A Technology Lead role focused on Big Data, Data Processing using Spark, specifically within the healthcare domain involving AI and Generative AI solutions.
PFE27 - AI-Powered Test Automation system H/FRenault Group · Grand Tunis, Tunisia
Data Science ManagerBDO UK · London, United Kingdom
Senior Artificial Intelligence EngineerThe Mitre Corporation · McLean, US
Senior Data Engineer – Python | SQL | AWS | Data PlatformsDeARX · South Africa
AI EngineerClarios · Monterrey, Mexico