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Design and lead large-scale cloud-native data platforms for global enterprises using Snowflake, AWS, Azure, and Databricks, while advising clients and mentoring engineering teams.
The AI orchestration of your wildest imagination. n8n is the open workflow orchestration platform built for the new era of AI. We give technical teams the freedom of code with the speed of no-code, so they can automate…
Build and maintain scalable data pipelines and AI agents using Azure Databricks, Python, and SQL to power analytics and automated workflows in a modern engineering environment.
Designs and builds automation workflows to streamline cybersecurity governance, risk, and compliance processes using Python, APIs, and platforms like ServiceNow.
Build and scale an AI platform for cybersecurity analysts using Python/Go/TypeScript, cloud services, and AI tools like LLMs and RAG to create intelligent workflows and automation.
Build and scale an internal AI coding agent platform using LLMs, RAG, and agentic workflows to improve developer productivity and reliability across Lendable’s fintech products.
Build and optimize large-scale data pipelines using Apache Spark and Scala/Python to power financial IT systems, ensuring scalability and reliability for cross-country operations.
Builds and deploys AI-powered solutions using modern ML and generative AI patterns on cloud platforms, collaborating with engineers and business teams.
Lead the product vision and roadmap for Atlas’s Agency of Record (AOR) platform, shaping how contractors globally join, work, and get paid while navigating compliance and scaling across 160+ countries.
Build and train ML models that power real-time quantitative trading systems, working with PyTorch/JAX and distributed compute platforms in a fast-paced finance setting.
Lead the design and deployment of enterprise-scale generative AI and semantic modeling solutions in Python to automate decisions and workflows for a global bank.
Lead a team building high-performance analytics for equities trading using KDB+/Q and Python, processing large-scale market data to shape next-gen applications in a global finance setting.
Build and maintain the infrastructure that trains, deploys, and serves AI models at scale, using Python, PyTorch/JAX, and LLM serving stacks like vLLM.
Builds and maintains Java/Spring Boot backend services and React UIs for lending workflows using Camunda 8, with TDD, CI/CD, and Kafka integrations.
Build and integrate AI-powered compliance and risk solutions, including LLMs, search, and workflow automation, to transform regulatory and standards data into customer value.
Build and operate PayPay’s AWS-based data infrastructure using Terraform and Databricks, ensuring reliability, security, and smooth data workloads for the fintech platform.
ELEKS Software Engineering and Development Office is looking for a Senior ServiceNow Developer/Consultant to join our team in Argentina. Our client is a major US healthcare organization, and this engagement is a…
Lead the design and delivery of AI-driven automation for business operations, setting technical standards and deploying agentic AI systems to optimize workflows and analytics.
Build scalable backend systems for AI-powered customer-agent platforms using LLMs/SLMs, orchestration, and real-time inference pipelines in a hybrid Noida role.
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