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About Us Arpeely is a Data-Science startup, leveraging data analysis, ML, engineering, and multi-disciplinary thinking to gain a market edge and exploit hidden opportunities in real-time advertising. Processing over…
Senior Technical Consultant designing and implementing enterprise cloud platform solutions, leading cloud migrations and AI-accelerated development initiatives using AWS/Azure/GCP, Kubernetes, Terraform, and AI coding tools.
Lead the design and deployment of production AI/ML and GenAI solutions—LLMs, agentic AI, RAG—on Databricks and major cloud platforms, establishing MLOps/LLMOps practices for enterprise clients.
Builds and deploys generative AI solutions using large language models, focusing on prompt engineering, model optimization, and seamless integration with real-world systems.
Builds and deploys AI-driven document processing pipelines using LLMs/NLP to extract structured data from financial/confidential content for enterprise decision-making.
Build and scale AI-powered search and market intelligence systems for enterprise clients, focusing on distributed architecture, reliability, and mentoring teams to productionize cutting-edge AI capabilities.
Senior Product Manager for AI-driven investment banking workflows, shaping AI tools to automate analyst tasks (e.g., modeling, valuation) and ensuring outputs meet banker standards. Bridges finance expertise with AI/ML engineering to build reusable, high-quality workflows for live deals.
Build and deploy AI-driven content processing systems using LLMs and NLP to extract structured data from financial documents for enterprise clients.
The Senior AI/ML Engineer will build and scale production-grade Generative AI solutions, including LLMs, RAG, and AI agents, for construction software products. The role requires strong software engineering skills, proficiency in Python, and experience with Azure or AWS cloud platforms.
For over 20 years, Smartsheet has empowered teams to manage work seamlessly and scale solutions smarter. Now, in our most ambitious chapter yet, we are uniting human teams with AI agents. By orchestrating the work…
The Full Stack Engineer will build scalable data pipelines, backend microservices, and AI-driven investigative tools to support financial crime detection. The role involves working with distributed systems, modern web frameworks, and agentic architectures to process large-scale financial datasets.
At Mindbox we connect top IT talents with technology projects for leading enterprises across Europe. Ready to engineer the future of AI in finance? Join our team to build intelligent solutions that revolutionize Credit…
This Data Scientist role focuses on applying and integrating existing in-house AI platform capabilities into new business use cases. The position requires production-grade coding in Python to build services, pipelines, and APIs while collaborating with stakeholders to extend platform functionality.
Build and refine AI systems that power iconic game characters, ensuring responses stay true to their lore through prompt engineering, RAG, and evaluation frameworks.
Builds and maintains CI/CD pipelines, AI/ML solutions, and RPA automations on Microsoft Azure and Power Platform for enterprise workflows.
Overview Join the Windows Cloud Experiences team and be at the forefront of redefining how people connect to their Windows environments, anytime, anywhere, from any device. We’re building the next-generation remote…
Senior Backend Engineer designing and building scalable backend services using C#/.NET, Java, or Go, with cloud platforms (AWS/Azure), Docker/Kubernetes, and AI-assisted development tooling.
Senior Staff Software Engineer at SentinelOne designing and evolving cloud-native systems for AI-powered cybersecurity detection, hunting, and response at massive scale.
Johannesburg, South Africa | Posted on 06/08/2026 Connecting top-tier talent with cutting-edge opportunities in the tech world. Job Description About the role We are looking for a passionate Junior Software…
Indicium AI is seeking an AI Engineer to design and deploy production-grade AI systems using LLMs, RAG pipelines, and agentic frameworks. The role focuses on building scalable, reliable AI applications and orchestration layers rather than model research.
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