Design, build, and maintain cloud-based data infrastructure and pipelines; develop, train, and deploy AI/ML models; collaborate with cross-functional teams to productionize models, ensure data quality, scalability, and monitoring.
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Aerospace • Artificial Intelligence • Cloud • Machine Learning • Software • Cybersecurity • Defense
Supports combustion and emissions design and analysis for aerospace engines, APUs, and advanced technology programs. Performs CFD, thermal, and FEA analyses; develops engineering tools and methods; ensures project, process, and product compliance; and resolves complex technical problems. The role also contributes to turbomachinery and gas-turbine combustor modeling involving turbulence, combustion, and emissions, using tools such as Fluent, STAR-CCM+, Synopsys Workbench, and Siemens NX.
Top Skills:
Ai/MlCC++CfdFinite Element Analysis (Fea)FortranJavaSiemens NxSiemens Star-Ccm+Synopsys FluentSynopsys WorkbenchThermal Analysis
Artificial Intelligence • Big Data • Enterprise Web • Fintech • Software • Financial Services
Leads engineering and data science teams building AI/ML data collection systems for large-scale unstructured data. Provides technical direction across NLP, classifiers, LLMs, MLOps, data pipelines, cloud platforms, security, and system operationalization. Responsibilities include mentoring and hiring talent, overseeing scalable model and pipeline development, collaborating cross-functionally, improving delivery processes, and ensuring reliable, secure, high-performance solutions.
Top Skills:
Apache AirflowApache KafkaCloud Data PlatformsDockerJavaKubernetesLarge Language ModelsMlopsNlpPythonSnowflakeSQLTransformers
Artificial Intelligence • Big Data • Enterprise Web • Fintech • Software • Financial Services
Leads and mentors a data engineering team responsible for enterprise data pipelines, models, governance, quality, and platform reliability. Defines the data engineering roadmap, guides cloud architecture decisions, and partners with business and technology leaders. Oversees scalable ETL/ELT workflows using modern data technologies, optimizes performance and costs, and advances AI-enabled analytics capabilities. Builds team effectiveness through hiring, coaching, retention, and performance development.
Top Skills:
Ai/Ml PlatformsApache AirflowApache KafkaAWSDockerEltETLGoogle Cloud PlatformAzurePythonSnowflakeSQL
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