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Builds and maintains data pipelines to ingest, transform, and serve large-scale economic/industrial datasets for an AI system forecasting global business impacts.
Build production-grade ML platform infrastructure, APIs, and data pipelines at HERE Technologies, working with spatial data to support AI training, evaluation, and inference workflows using cloud-based backend services.
Manage and monitor large-scale distributed data systems like Kafka, HDFS, and Dremio while driving systems automation and CI/CD. Collaborate with engineers and traders to support the data platform powering trader analysis and insights.
Data Engineering Senior Manager The Opportunity: Do you enjoy helping experienced engineers do their best work while shaping how a modern data engineering organization operates? As a Data Engineering Manager, you’ll…
Design and own production-grade AI agent infrastructure across multiple cloud providers (Azure, Oracle Cloud, GCP, AWS) using Kubernetes, Terraform, and CI/CD automation at an early-stage AI startup.
The ML Engineer integrates AI/ML models into production, optimizes inference pipelines, manages CI/CD workflows, and builds Agentic/multimodal AI systems using Python, PyTorch/TensorFlow, Docker, Kubernetes, and cloud platforms.
Location: Bethesda, MD Category: Systems Engineering Travel Required: No Remote Type: No Clearance: TS/SCI Sunayu, LLC is looking for a highly skilled Systems Engineer with deep expertise in operating systems,…
Develops AI agents and automation tools for electronic design workflows, integrating LLMs, simulation engines, and EDA software using Python and modern AI/ML techniques.
Senior Data Engineer builds and maintains scalable data pipelines and platforms using Databricks, Python, SQL, and cloud tools to support analytics and reporting in Singapore.
By clicking the “Apply” button, I understand that my employment application process with Takeda will commence and that the information I provide in my application will be processed in line with Takeda’s Privacy Notice…
Designs and evolves complex insurance solutions using Duck Creek’s core products (Rating, Policy Center, Manuscripts, Utilities, Core) to build scalable architectures that align with business strategies and improve customer outcomes.
The Platform Engineer will build, secure, and automate an enterprise data platform using Databricks and cloud infrastructure. The role involves managing CI/CD pipelines, job orchestration, and platform observability to support data engineering teams.
The Lead Data Engineer will manage and optimize the enterprise Databricks Lakehouse platform, focusing on performance tuning, data governance via Unity Catalog, and implementing AI-native operational workflows. The role involves designing scalable pipelines, mentoring engineering teams, and collaborating with vendors to ensure platform reliability and cost-efficiency.
The Senior Data Engineer will design and maintain scalable data pipelines and Lakehouse solutions using Databricks. The role focuses on performance tuning, cost optimization, data governance via Unity Catalog, and implementing AI-assisted automation for data operations.
This role manages product support and deployment for Health and Welfare benefits administration, focusing on documentation, training, and process improvement. The position leverages AI, automation, and agentic workflows to build a scalable knowledge ecosystem and optimize operational support processes.
The Senior Product Manager for Payroll, Time & Attendance will lead the global technology strategy and roadmap for payroll and time solutions at Haleon. This role involves managing complex Workday-based payroll ecosystems, driving automation, and ensuring compliance across a multi-country landscape.
Design and build API-first, event-driven integrations for construction software using .NET, Azure, and iPaaS to connect internal systems and partner applications.
Design, build, and operate data pipelines for structured and unstructured data using Python and SQL on AWS, supporting analytics, AI/ML, and document processing solutions for federal government clients.
The Senior Machine Learning Engineer will design, build, and operate production-grade AI systems, specifically RAG applications and Intelligent Document Processing pipelines, for federal clients using AWS GovCloud. The role requires deep expertise in LLMs, vector databases, and secure, compliant software engineering practices.
Design, build, and maintain AI agents and Copilot experiences using Microsoft Copilot Studio to automate and optimize enterprise business workflows, integrating with Microsoft 365, Azure, and Power Platform.
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