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Software engineer building automation frameworks, CI/CD pipelines, data pipelines, and monitoring dashboards for AWS ML accelerator servers — from first silicon through fleet-scale deployment at Annapurna Labs.
Lead Machine Learning Engineer at Sun Life Financial in Waterford, Ireland designing, developing, testing, deploying, and refining data science and machine learning solutions. Working with cross-functional teams to deliver analytics and drive value from data using Python, R, Dataiku, Linux, containers, and AWS.
Senior Backend Engineer building scalable production systems with Python and TypeScript, integrating AI capabilities like LLMs, RAG, and agentic workflows at enterprise scale.
Lead AI/ML Engineer at RBC Insurance leading a team of ML engineers, designing and deploying scalable machine learning models and MLOps pipelines using Python, cloud platforms (AWS/GCP/Azure), Docker, and Kubernetes.
ML Engineer II at TD's Layer 6 AI center building scalable ML frameworks and production-grade models on large financial datasets (transactions, transcripts, documents) using Python, C/C++, and PyTorch/TensorFlow.
Machine Learning Engineer on Grammarly's Responsible AI team, building scalable end-to-end NLP/ML solutions to improve safety and fairness across all Grammarly products, working closely with linguists and data scientists.
Lead ML-based software development at RBC Borealis, prototyping and integrating algorithms in NLP, deep learning, and time series using Python and frameworks like PyTorch, JAX, or TensorFlow.
Build reinforcement learning environments that evaluate AI models on software tasks (bug fixing, refactoring, etc.) using MCP tools, designing reproducible environments and deterministic verification systems.
ML Engineer building scalable, production-grade ML systems on real-world banking data (transactions, conversations, documents) using Python, C++, PyTorch, and TensorFlow.
Develop and test ML algorithms for underwater acoustics and marine robotics, plan field trials, and process data at NUS's Acoustic Research Laboratory using Python or Julia.
Senior ML Engineer building end-to-end AI/ML systems for retail pricing optimization, with initial focus on agentic AI and A2A protocols using Python, agentic frameworks (ADK/LangChain), and cloud-native environments (GCP/AWS).
hackajob is collaborating with J.P. Morgan to connect them with exceptional professionals for this role. JOB DESCRIPTION Join a dynamic and diverse team that engineers large-scale, complex, and resilient technology…
hackajob is collaborating with J.P. Morgan to connect them with exceptional professionals for this role. JOB DESCRIPTION Shape the future of technology and drive significant business impact in financial services. Join…
Bachelor's thesis (Bachelorand) role focused on Machine Learning and Computational Fluid Dynamics (CFD) at a high-tech company developing gas centrifuges for uranium enrichment in Jülich.
Senior AI Software Developer focused on 3D Deep Learning at a global security and threat-detection solutions company, though the posting is truncated and lacks day-to-day detail.
Wir sind ein KI-getriebenes SaaS-Startup und entwickeln datenintensive Lösungen für die digitale Erfassung und Bewertung von Straßeninfrastruktur. Haben Sie die Fähigkeiten, um diese Stelle zu besetzen Lesen Sie die…
About the Role There are over 5 billion users using basic applications today such email, notes, tasks, calendar and they're not AI-native. Our mission is to build proactive applications for anyone in the world, who…
Who are we? Hi! We are Ravelin! We're a fraud detection company using advanced machine learning and network analysis technology to solve big problems. Our goal is to make online transactions safer and help our…
The AI/ML DevOps Engineer will operationalize AI solutions by managing CI/CD pipelines and deploying production systems. The role involves collaborating with data scientists to ensure the security, performance, and reliability of AI applications.
Interon IT Solutions is hiring a Golang developer to build scalable microservices and integrate AI/ML capabilities, including LLM-based data processing. The role focuses on backend engineering, concurrency, and cloud deployments within a remote team.
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