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The AI & Data Engineer will design scalable data architectures, develop generative AI solutions, and manage MLOps workflows. The role involves implementing RAG systems, vector databases, and graph databases while ensuring data privacy and quality.
Internship in AI & Data Engineering at Deloitte focused on building end-to-end data processing features, cloud data architecture, LLM-based and OCR automation, and web app components for client projects.
Junior Data Scientist on Adidas's supply chain advanced analytics team, building and testing analytical components, performing data exploration and quality investigations, and writing Python and SQL code to support production systems.
Build and operate cloud-native AWS infrastructure and CI/CD pipelines for AI/ML workloads, including model serving APIs, streaming pipelines, and containerized deployments.
Define and evolve embedded platform architecture at Danfoss, driving platform reuse, governance, and scalable capabilities for embedded systems.
Build analytics data pipelines, develop data models and analytics applications, implement data tools and visualizations, and maintain data quality for production analytics systems at W L Gore Associates.
Senior Data Engineer building ELT pipelines, SQL transformations, and Snowflake data models to deliver AI-ready datasets, supporting SAP MM procurement processes and S/4HANA migration.
Director of Data Engineering leading teams to build data pipelines and infrastructure, define data strategy, and establish governance frameworks at an edtech company.
Data analyst responsible for analyzing and validating supply chain data, developing dashboards and reports, maintaining KPI metrics, and supporting data governance, with part-time telework and weekly in-person attendance in Houston.
Senior Data Engineer at Heineken building scalable batch/streaming pipelines, data products, and tooling using dbt and Databricks Lakeflow to support AI/vector store initiatives.
- Audit activities using CloudWatch and CloudTrail - Automate deployment monitoring backup and recovery - Configure AWS PrivateLink and VPC endpoints - Configure and manage NGINX and systemd services - Deploy and…
- Align test strategy with product roadmaps - Architect automated SIL HIL regression pipelines - Conduct range safety and telemetry pipeline management - Create test metrics and KPIs - Develop flight test methodologies…
Ensures data accuracy and governance by analyzing root causes of data issues, cross-checking data across systems, resolving discrepancies, and communicating with customers for management reporting.
Embedded software engineering intern developing and testing software for Linux-based embedded devices, collaborating on FPGA system integration, OTA updates, and hardware-software debugging.
Build and operate production-grade GenAI applications on Kubernetes for a major bank, including RAG, agentic workflows, prompt orchestration, and LLM integration with enterprise APIs.
Manage GenAI agent lifecycles—onboarding, configuration, retirement—and fine-tune prompts for cost and accuracy while monitoring performance, SLA compliance, and incident triage within a bank's innovation group.
Lead GenAI agent operations in a banking environment, focusing on prompt engineering, agent lifecycle management, and integrating AI workflows into IT service management processes like incident and change management. Core tech involves GenAI, LLM agents, and prompt optimization.
Senior ML Engineer applying computer vision and time series techniques to satellite imagery, building and deploying ML models at scale with a focus on embeddings-based change detection and high-throughput inference pipelines.
- Analyze high cost assets - Analyze procurement spend - Build financial models - Build management dashboards - Collaborate on property related projects - Create rolling forecasts - Deliver management reporting -…
Build and operate production AI model deployment platforms and MLOps tooling, handling model lifecycle management, inference pipelines, monitoring, and observability for batch and real-time AI workloads.
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