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About Enablis At Enablis, we deliver complex, high-impact technology transformation. We're building a genuinely AI-native consultancy, not just experimenting, but embedding AI into how we deliver, how we operate,…
Ищем руководителя направления AI-трансформации Блока, который будет отвечать за формирование и реализацию стратегии внедрения искусственного интеллекта в корпоративно-инвестиционном бизнесе, будет развивать AI-команды,…
The Senior Machine Learning Engineer will design, develop, and deploy NLP and LLM-based solutions into production environments. The role involves architecting scalable ML pipelines and collaborating with cross-functional teams to integrate AI models into the company's geospatial platforms.
This role involves building and maintaining scalable, high-performance distributed storage systems and data lake architectures. The engineer will design database components and implement both offline and real-time data processing frameworks using technologies like C++, Java, and various distributed systems tools.
The Python Developer will work on Generative AI and AI/ML projects, utilizing frameworks like PyTorch and LangChain. The role involves software engineering best practices including TDD and CI/CD pipelines.
The Senior Data Scientist will lead end-to-end machine learning projects, from business problem conception to deployment and monitoring, within a healthcare environment. The role focuses on building scalable AI solutions using Python, GCP, and MLOps practices, while mentoring junior team members.
The Lead Generative AI Engineer will architect and deploy production-grade GenAI platforms, RAG pipelines, and agentic workflows. The role involves technical leadership, mentoring, and optimizing AI infrastructure using Python and modern LLM frameworks.
At Seemplicity , we are redefining the future of cybersecurity. AI is fundamentally shifting the defender’s challenge from detection speed to remediation speed - and we are built for this new era. Our Agentic Exposure…
Builds and maintains AI-driven document parsing pipelines (OCR, VLM, multimodal AI) for SingTel’s AIDA unit, extracting structured/unstructured data (PDFs, images, audio, etc.) and optimizing embedding models for semantic search and GenAI applications.
Develops AI-powered tools, models, and workflow assistants for ArcGIS Pro, integrating remote AI services into desktop applications to enhance user productivity in mapping and analytics.
Cybersecurity Consultant performing security monitoring, incident response, threat detection, vulnerability management, and compliance governance using SIEM (Splunk), EDR, and IAM platforms in enterprise environments.
Job Summary We seek an experienced and forward-thinking Software & AI Manager to lead the design, development, and deployment of high-impact software and AI-driven solutions. This role requires a blend of hands-on…
The Applied AI Scientist will design and develop AI solutions, including agentic systems and foundation models, to solve real-world business problems. The role involves rapid prototyping, fine-tuning models, and collaborating with engineering teams to deploy scalable AI applications using Python and PyTorch.
This role involves designing, building, and optimizing enterprise data models and analytics solutions using SAP Datasphere and SAP Business Data Cloud. The engineer will perform SQL scripting, troubleshoot data flows, and collaborate with functional teams to support business reporting needs.
Design, develop, deploy, monitor, scale, and troubleshoot ML and LLM-based systems that power shared AI services across the platform Build secure, high performance microservices and platform components on AWS, owning…
This 12-month machine learning residency involves developing predictive and prescriptive AI models for construction project management. The resident will work with Amii scientists and Nialli to build AI-powered solutions using LLMs, RAG, and agentic systems.
Senior AI & Data Scientist owning models end-to-end—from problem framing through production—using Python, ML algorithms, and LLMs (RAG, fine-tuning, evaluation) on client consulting engagements.
Staff ML Engineer on Okta's Generative AI team, architecting and deploying production LLM/GenAI systems including RAG workflows, agentic applications, and LLMOps pipelines using Python, Claude-based systems, and modern AI agent frameworks.
Designs and builds AI agentic workflows, integrating LLMs and foundation models into business solutions via orchestration, RAG pipelines, and tool integration. Focuses on workflow automation, prompt/context design, and production monitoring.
Machine Learning Engineer at Manulife designing, building, and operating ML/AI platforms and pipelines from experimentation to production at scale, using Python, CI/CD tools, Docker/Kubernetes, Terraform, and Azure cloud services.
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