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Design and build production-grade Generative AI and NLP solutions (LLMs, RAG, agents, chatbots, document intelligence). Collaborate with clients to translate business problems into scalable AI architectures and present solutions to stakeholders to drive business value.

Design and build large-scale ETL/ELT pipelines and analytical architectures on GCP. Assess, plan, and drive enterprise data and cloud migration programs, modernize legacy systems, optimize query performance, and enable scalable cloud-native solutions for clients.

The Director of Data Science will lead data science initiatives, build ML models, collaborate with stakeholders, and drive impactful insights for clients.

The Forward Deployment Engineer will deploy and optimize Generative AI solutions, architect scalable infrastructure, and implement data pipelines across multi-cloud environments while collaborating with cross-functional teams to maximize business value.

The role involves leading analytics delivery to clients, managing relationships, ensuring account growth, and solving complex business problems through data science in various sectors, primarily CPG and Retail.

Lead high-impact data science initiatives, build ML models, manage analytics projects, communicate insights, and collaborate with teams to drive business outcomes.

The Forward Deployment Engineer will deploy and optimize Generative AI solutions on-site, collaborating with engineering teams to operationalize AI systems across multi-cloud platforms.

Coordinate US and LATAM recruitment activities: manage ATS, track candidate pipelines, source and screen candidates for analytics roles, plan interviews, support offers and negotiations, liaise with hiring managers and vendors, and perform recruitment administrative tasks.

Lead design, development, and deployment of end-to-end recommendation systems. Build, tune, and evaluate scalable recommendation algorithms, integrate ML into products, lead projects, mentor teams, and communicate solutions to clients and stakeholders while driving innovation in replenishment and supply chain analytics.

The role involves building scalable ELT/ETL pipelines on GCP, utilizing SQL and Python, and managing security and infrastructure automation while ensuring real-time processing and resource provisioning.