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Senior Data Scientist building and deploying machine learning and advanced analytics models on large-scale customer and business datasets, focused on customer behavior, campaign effectiveness, targeting, and response modeling. Core stack is Python, SQL, Databricks, and PySpark.
Senior Backend Engineer building scalable backend services with C#, SQL, and AWS for teams working in the private investment banking space. Day to day involves data migrations, system integrations, and reporting solutions using Snowflake, with strong emphasis on software design and architecture.
Lead AI engineering practice, set technical direction, design and review production AI architectures, mentor engineers, and work hands‑on on complex Python‑based AI systems using Databricks and Azure OpenAI.
What is this position about? Design and build scalable backend systems using Java, with deep expertise in production-grade application development. Lead the architecture and implementation of distributed systems,…
The People Operations Analyst supports the day-to-day operations of Blend360’s People team by helping maintain accurate employee data, streamline HR processes, and deliver a positive employee experience. This role…
Design, build, and deploy production-ready LLM-powered solutions including RAG pipelines and agentic workflows using Python and cloud platforms (AWS/Azure/GCP).
Role Overview Blend is looking for a Senior Sales Leader to drive net-new customer acquisition for our Native-AI practice across North America. This is a true hunter role. You will be responsible for building pipeline,…
The Senior Data Scientist will build machine learning models and perform causal analysis to understand customer value, behavior, and segmentation for client engagements. The role requires strong Python and SQL skills to translate complex data into actionable business recommendations.
The Role The Director, Partner Marketing is the function leader for partner marketing at Blend, responsible for shaping, scaling, and operationalizing partner marketing strategy across hyperscalers, data platforms, and…
We are seeking a Senior Campaign Data Analyst with strong Python and SQL skills to support our Digital Prospects Marketing / Campaign Operations Retainer. The ideal candidate will be responsible for analyzing large…
Why this role exists Blend's marketing function has grown into a global operation that spans the full marketing funnel, from brand and market perception through demand and pipeline. We are looking for a senior…
Build and maintain scalable data pipelines and models using Databricks or Snowflake, refactoring legacy codebases and designing reusable components to support analytics and reporting.
The Manager of Data Engineering leads a team to design and optimize scalable data pipelines in on-premise environments using Python, Apache Spark, SQL, and Apache Airflow. The role involves technical mentorship, project delivery, and close collaboration with stakeholders to ensure robust data processing.
The Lead Data Engineer will design, develop, and maintain scalable data pipelines on Google Cloud Platform using Python and SQL. The role involves optimizing ETL/ELT processes, performing data modeling, and ensuring data quality and governance.
Design, build, deploy, and continuously improve production-grade LLM-powered agentic AI solutions within enterprise client environments using Python, FastAPI, agent orchestration frameworks (LangGraph, LangChain, etc.), MCP, and context engineering.
Blend is seeking an experienced, energetic Human Resources Business Partner to join our Uruguay team. This is a unique hybrid role that combines strategic HR partnership with hands-on operational excellence. You will…
Senior .NET engineer who designs scalable systems, mentors teams, and embeds AI tools (e.g., Claude) into developer workflows while optimizing internal tooling and infrastructure.
We are looking for an experienced Senior DevOps Engineer to support production readiness and deployment of an Agentic Executive Scorecard. The client already operates a proven CI/CD process, so this is a deliberately…
Designs and deploys production-grade AI agents using LLMs, agent orchestration frameworks, and enterprise systems to automate complex workflows via natural language interactions.
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