Top Tech Jobs & Startup Jobs

Lead design and delivery of end-to-end ML/AI solutions: translate business needs, build and operationalize models at scale, partner with product and MLOps, mentor teams, manage vendors, and maintain documentation and CI/CD for production deployments.

Design, build, and operationalize ML/AI models from large structured and unstructured data to produce actionable insights across functions. Collaborate with cross-functional teams, communicate results to technical and non-technical stakeholders, partner with MLOps for deployment, maintain documentation and reusable libraries, and apply statistical, optimization, and machine-learning techniques in production using CI/CD practices.

Lead digital strategy, roadmap, and delivery for Care and Public Affairs/Communications digital services across North America. Translate business priorities into product portfolios using data, automation, and AI; drive scalable, secure, user-centric solutions; measure value realization; promote agile product practices; and lead stakeholder engagement, adoption, and governance to modernize capabilities and accelerate business impact.

Support development and productionization of ML/AI models by transforming large datasets, implementing statistical and optimization techniques, collaborating with cross-functional teams and MLOps, creating visualizations and reports, maintaining documentation and reusable code, and communicating results to technical and non-technical stakeholders.

Design and deliver end-to-end AI/ML solutions: collaborate with business stakeholders, build and productionize models using large structured/unstructured data, operationalize with MLOps/CI-CD, document solutions, visualize insights, and mentor junior data scientists.

Design and develop ML and AI models using large structured and unstructured data, collaborate with stakeholders to translate business requirements, operationalize models with MLOps/CI-CD, produce visualizations and reports, maintain documentation and reusable data science assets, and communicate results to technical and non-technical audiences.

Senior technology leader accountable for global MarTech platform suites (Adobe, Salesforce, OneTrust), integration architecture, and multi-team platform engineering. Owns roadmap, reliability, security, API/event-driven integrations, vendor relationships, and AI enablement to improve platform delivery and operations. Builds and leads high-performing teams under a Product Operating Model and aligns platform investments with marketing and business priorities.

Lead MLOps efforts to productionize machine learning models: build containerized deployments, automate CI/CD pipelines, manage Azure-based ML lifecycle, monitor model performance and data drift, collaborate with data engineering on pipelines, and mentor junior MLOps engineers while driving engineering best practices.

Design, deploy, and operationalize machine learning models at scale. Build CI/CD pipelines, containerize models (Docker), and deploy to Azure (AKS/ACS) using Azure ML and Microsoft Fabric. Monitor model performance and data drift, collaborate with data engineering for reliable pipelines, and mentor MLOps engineers while driving engineering best practices.

Lead planning, execution and delivery of commercial digital products for LATAM. Translate business needs into technical requirements, set product strategy and roadmap, maintain backlog, drive adoption and change management, collaborate with engineering and stakeholders, and measure product value and utilization.