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- Build retrieval systems for enterprise use cases - Conduct research and proof of concept experiments - Create evaluation and benchmarking pipelines - Design multi agent collaboration workflows - Develop generative AI…
- Build search and retrieval pipelines - Create RESTful APIs for AI services - Design RAG solution architectures - Develop evaluation and assurance frameworks - Ensure provenance and access controls - Implement…
- Analyze and resolve embedded cybersecurity issues - Collaborate with development and system engineering teams - Configure integrate and validate software - Develop embedded security software features - Implement…
- Build agent based AI solutions - Deploy and operate AI infrastructure and platforms - Design prototype and deliver AI powered solutions - Develop and maintain AI applications and GenAI platforms - Implement AI…
- Develop metrics, dashboards, and reports - Drive process improvement automation system enhancements - Investigate root cause data quality issues - Lead cross-functional projects - Lead master data management…
- Apply BDD feature files - Build testing automation - Create test scenarios from documentation - Develop data quality tests - Improve data quality testing processes - Perform root cause analysis - Support production…
- Build data pipelines - Develop data models - Ensure horizontal scalability - Establish data governance - Implement data lake management - Implement data security - Ingest and transform data - Manage orchestrated…
- Collaborate with stakeholders and applications - Deliver solutions from development through production - Design and develop ETL processes - Design and implement backend data solutions - Develop data pipelines -…
Data Engineer building and optimizing Azure data pipelines (ADF, Databricks, Delta Lake) using Python, PySpark, and SQL for batch and near-real-time processing.
Apply analytical methods, build data pipelines, and develop ML/AI models to support decision-making and information environment assessment at NATO.
Data/Business Analyst focused on analyzing data trends, defining KPIs, designing dashboards, and translating business needs into technical requirements in collaboration with data development and business teams.
Lead a data engineering team to define data integration standards, deliver enterprise data platforms, and establish DataOps practices for a major retailer.
- Build and lead BI and analytics team - Define metrics and KPIs with stakeholders - Deliver trusted reporting and analytics - Develop self-service analytics capabilities - Drive adoption of Microsoft Fabric and Power…
The Avionics Embedded Development Engineer will design and implement flight control computer software, including bootloaders, BSPs, and communication protocols like CAN and ARINC 429. The role involves managing system architecture, fault detection, and hardware-in-the-loop testing for aerospace applications.
The Senior DevOps Engineer will design and manage cloud infrastructure for GenAI platforms, focusing on CI/CD, Kubernetes orchestration, and secure data pipeline management. The role involves ensuring system reliability, GDPR compliance, and mentoring junior team members.
The DevOps Engineer will manage and maintain hybrid cloud and on-premise infrastructure, including CI/CD pipelines, containerized applications, and Kubernetes clusters. The role specifically involves supporting AI GPU servers and internal AI service deployments.
The Manager of Data Science will lead the development, training, and deployment of end-to-end AI and machine learning solutions while providing technical mentorship to junior team members. The role involves designing technical architectures, managing CI/CD pipelines, and communicating complex technical concepts to stakeholders.
This student role involves analyzing user and business data to support decision-making, developing dashboards, and improving data processes. The position requires collaboration with product and data science teams while utilizing AI tools for analytics workflows.
The Data Governance Specialist develops and implements enterprise data governance frameworks, policies, and standards to ensure data quality, privacy, and regulatory compliance. The role involves managing metadata, facilitating stakeholder workshops, and monitoring policy adherence across the organization.
As an AI Engineer at Saegus, you will design, develop, and deploy generative AI and machine learning solutions, focusing on RAG systems and MLOps to move prototypes into production. You will work closely with business and data teams to implement high-impact AI applications.
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