Jobs at Blend360

Lead design, development, and deployment of scalable AI solutions including RAG, fine-tuning, and agentic frameworks. Apply advanced prompt engineering, MLOps best practices, monitoring/tracing, cloud AI services, and collaborate across teams to productionize LLM-based systems.

Design, build, and maintain Power BI dashboards, semantic models, and analytics solutions using Microsoft Fabric (OneLake, Lakehouse, Dataflows Gen2, Fabric Warehouses). Collaborate with stakeholders, implement RLS, optimize report performance, support deployments, and contribute to governance and best practices for enterprise-scale reporting.

Lead end-to-end BI projects: gather requirements, model data, build high-performance Power BI dashboards (advanced DAX, M, RLS, custom visuals), write SQL across cloud platforms, collaborate with data engineers and stakeholders, integrate with Excel/Power Automate/SharePoint, mentor team members, and drive BI migrations and embedded analytics.

The Lead Data Scientist will develop Marketing Mix Models, build data pipelines, validate model accuracy, and communicate insights to stakeholders while managing multiple priorities in a dynamic environment.

The Marketing Campaign Specialist will manage campaign execution, coordinate with teams, and improve marketing processes while building relationships with partners.

The AI Engineer will design, develop, and deploy scalable AI applications, mentor junior engineers, and collaborate on technical solutions for business challenges.

Lead the definition, prioritization, and delivery of Databricks-based data products. Collaborate with Data Engineering, Analytics, and Data Science to translate business needs into product requirements, ensure scalability and governance, define success metrics, and drive cross-functional delivery to generate measurable business value.

The HR Business Partner will establish HR processes for a new office in Mexico, support day-to-day operations, ensure compliance with local regulations, and collaborate with stakeholders for effective HR practices.

Design, build, and deploy scalable AI/LLM-powered applications and backend systems. Translate ambiguous problems into technical solutions, develop APIs and AI workflows, prototype products, contribute to architecture, mentor engineers, and collaborate across frontend, cloud, and data teams to improve reliability, performance, and developer experience.

Build and deploy AI-powered applications and internal platforms across the stack. Contribute to backend services, APIs, integrations, and frontend components. Support LLM and AI solution development, rapidly prototype ideas, maintain production-quality code, and collaborate with cross-functional teams to translate requirements into scalable, reusable systems.

Design, build, and continuously improve low-code/no-code agents, workflows, controls, and metrics for finance operations. Support billing, collections, payables, reconciliations, close processes, reporting, and decision support. Ensure outputs are accurate, explainable, auditable, and scalable across systems and entities while partnering with finance, IT, and business stakeholders.

Drive measurement and optimization for multi-channel digital media campaigns. Build reports and dashboards, analyze performance with SQL and Python, develop measurement frameworks (attribution, MMM), support test-and-learn, ensure data quality, and deliver actionable insights to media and marketing stakeholders.

Design, build, and maintain low-code/no-code agents and workflows to automate finance operations (billing, collections, payables, reconciliations, close). Ensure accuracy, explainability, auditability, and controls; map current-state processes, build future-state workflows, create metrics and dashboards, and support finance transformation across systems and stakeholders.

Lead media measurement and analytics across digital and offline channels. Develop measurement frameworks, analyze cross-channel performance, run test-and-learn programs, interpret MMM, and provide actionable recommendations. Use SQL and Python for analysis, partner with stakeholders, launch audience/media products, and mentor analysts.

The Lead Data Scientist will design, develop, and deploy Machine Learning models, collaborate with teams to integrate solutions, and implement MLOps practices while providing mentorship and communicating findings effectively.

The Data Quality Engineer is responsible for ensuring data quality and reliability across data platforms, validating pipelines, implementing automated checks, and collaborating with teams to deliver accurate data assets.

The Data Quality Engineer will ensure data quality and reliability across data platforms, validating pipelines and implementing automated checks, while collaborating with data engineering and business teams.

The Data Quality Engineer ensures data quality and consistency across Azure and Databricks platforms by validating data pipelines, implementing automated checks, and collaborating with teams to confirm reliable data assets.

The Senior AP Analyst manages accounts payable operations, including vendor payments, reconciliations, and process improvements for multi-entity transactions. Responsible for AP cycle management, corporate card reconciliations, and cross-departmental communications.

The Marketing Operations professional will support the execution of marketing campaigns, ensure smooth processes, and build relationships across teams.