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The MLOps Engineer will design, deploy, and maintain scalable machine learning pipelines and infrastructure to support connected mobility products. The role involves collaborating with cross-functional teams to automate model lifecycles and ensure production reliability using cloud platforms and DevOps best practices.
The MLOps Engineer will design, deploy, and maintain scalable machine learning pipelines and infrastructure to support connected mobility products. The role involves collaborating with cross-functional teams to automate model lifecycles, monitor performance, and implement CI/CD best practices using cloud platforms.
Senior Software Engineer builds and maintains backend systems for project44’s Decision Intelligence Platform, focusing on AI-driven logistics data transformation, scalable microservices, and cloud-based integrations to enhance supply chain decision-making.
Overview Commercial Engineering & AI (CEAI) partners with stakeholders to transform Microsoft support through AI-native engineering, modern platforms, and intelligent customer experiences. Our teams design, build,…
We made history and now we work to transform the future – for our customers, our communities and our families. You'll see your work on the road every day, helping people move freely and pursue their dreams. At…
This is an on-site role, based at our Cape Town office. Only candidates with full working rights for this location will be considered. Who We Are CV (Christian Vision) is a global organisation that exists to introduce…
Manages end-to-end RFP and proposal responses, coordinating Sales, Engineering, and Legal teams to deliver compliant, high-quality customer submissions.
The AI Engineer will design, build, and integrate AI and generative AI solutions within MUFG's Global Markets Engineering Office to improve productivity and operational resilience. The role requires strong Python and SQL skills, experience with cloud platforms like Azure/AWS, and a focus on governance and risk management in a regulated financial environment.
This role involves building and scaling generative world models to produce synthetic data for autonomous driving research. You will bridge the gap between ML research and engineering by optimizing model architectures and integrating synthetic data into the training pipeline for driving models.
The Machine Learning Engineer will build and maintain data pipelines on Databricks and productionize traditional machine learning models like propensity and segmentation. The role requires a hybrid presence in Oak Brook, IL, and focuses on MLOps, data quality, and model deployment.
The Staff Data Engineer will design and build the data infrastructure and evaluation pipelines for ServiceNow's Agentic AI, focusing on measuring AI agent performance and reliability. This role involves architecting data systems, defining evaluation metrics, and establishing quality standards across cross-functional teams.
Builds and optimizes large-scale distributed data processing systems on AWS Databricks, designing pipelines and data lakes to ingest, validate, and monitor data from diverse sources for a fintech security company.
The AI/ML Engineer will build agentic AI workflows and behavioral anomaly detection models to automate IT operations for Managed Service Providers. The role involves integrating LLMs, orchestrating agent workflows, and implementing production-grade AI systems using tools like Python, LangChain, and various cloud model providers.
Senior engineer building AI-powered IT management and cybersecurity SaaS features, integrating ML models and LLMs into customer workflows while owning backend services, APIs, and cloud infrastructure.
The Platform Backend Engineer will build and maintain core services for the Kaseya Intelligence Platform, focusing on event-driven workflows, identity management, and secure infrastructure. The role involves using Go or Rust to develop scalable, reliable systems that support agentic AI workloads and multi-tenant operations.
Job Overview: We are looking for a Senior GenAI Developer to design, build, and productionize agentic AI systems—LLM-powered agents that can plan, use tools, orchestrate workflows, and operate reliably under enterprise…
Orion Innovation is a premier, award-winning, global business and technology services firm. Orion delivers game-changing business transformation and product development rooted in digital strategy, experience design,…
Cortea AI is seeking an engineer to build evaluation and observability infrastructure for their production-grade LLM agents used in audit workflows. The role involves designing data pipelines, managing quality gates, and optimizing agent performance using Python and cloud-based analytical tools.
Build and operate internal developer platforms and fleet management tools that help engineering teams provision, observe, govern, and troubleshoot test infrastructure at scale, primarily using Go, Linux, APIs, and workflow orchestration.
Builds AI-driven security systems to proactively detect, respond to, and prevent threats in a high-scale fintech trading platform. Focuses on SIEM optimization, automated threat hunting, cloud security hardening, and integrating security into DevOps workflows.
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