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The Senior Analytics Engineer will design and maintain analytical data models, pipelines, and Looker dashboards within a Snowflake cloud environment. This role involves translating business requirements into technical solutions and implementing data quality frameworks to support organizational decision-making.
Overview LMAX is looking for a Python developer to join our middle-office team. This team works closely with the infrastructure, research and treasury teams. In this position you can expect to take a significant role…
We need this role because reliable analytics depend on well‑designed, well‑tested data foundations. We turn raw, complex data into structured, business‑ready datasets that teams can trust every day. This role exists to…
About Aaru Aaru builds simulations of human behavior. Each simulation contains a population of AI agents, each representing a person who could plausibly exist in the real world and capable of making decisions within a…
The Senior Data Engineer will design and build the company's data platform, including pipelines, data models, and orchestration systems. The role focuses on scaling data infrastructure using Python, SQL, and cloud-based data warehousing technologies.
This role involves developing and maintaining AI-enabled enterprise applications using Java, Spring Boot, and TypeScript. The developer will focus on orchestrating AI agentic workflows and building scalable microservices within a hybrid work environment.
About Us : Maxima is the first agentic AI platform for enterprise accounting, purpose built to deliver SOX compliant, real time close. Our founders have experience coming from both sides of the problem: from overseeing…
Mid-to-senior Software Engineer focused on AWS and AI, responsible for end-to-end ownership of cloud services with a strong DevOps mindset, working onsite in Central London.
Leads end-to-end design and deployment of production-grade AI/ML and GenAI solutions, focusing on RAG platforms, agentic systems, and secure enterprise integrations using Python, AWS/Azure, and MLOps practices.
Build and deploy end-to-end GenAI/LLM applications (RAG, agentic workflows, evaluation pipelines) using Python, cloud platforms, Docker, and vector databases for a finance consulting firm in Pune.
Build AI-driven data pipelines and agentic workflows using Databricks, Snowflake, or Microsoft Fabric to automate processing and orchestration beyond traditional ETL.
Design, build, and operate scalable data infrastructure and MLOps platforms for Doodle's B2B SaaS scheduling product, using Python, SQL, cloud infrastructure, containers, and IaC.
Senior Consultant applying data science, AI, and analytics to healthcare and life sciences commercial challenges—building predictive models, supporting AI solutions, and delivering client-ready insights using Python, SQL, and ML techniques.
Staff ML Engineer architecting and deploying production GenAI systems (LLM-powered features, RAG workflows, agentic apps) on a team building AI-powered identity/security infrastructure, primarily using Python.
Design and deploy production-scale GenAI systems, including RAG pipelines, agent frameworks, and evaluation workflows, to power secure AI-powered identity features.
Designs and deploys enterprise-scale Generative AI systems, focusing on LLMs, agentic workflows, RAG pipelines, and scalable microservices for AI-driven applications.
This internship builds and maintains Python data pipelines to analyze historical quote data, develop AI models for pricing adjustments, and flag margin risks in a fintech quoting tool.
Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to…
Builds and maintains scalable, secure Java-based integration APIs and microservices for Disney/ESPN’s media platforms, focusing on Kafka, Spring Cloud, and cloud-native architectures to enable seamless data flow across Disney’s global media ecosystem.
The Data Engineering Sr. Associate designs and maintains scalable data pipelines, ETL/ELT processes, and data warehouse solutions using cloud technologies like Azure, Spark, and Databricks. The role involves collaborating with cross-functional teams to ensure data quality, governance, and performance optimization.
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