Design and implement scalable Machine Learning and AI solutions to enhance digital customer experiences and business outcomes. Collaborate with cross-functional teams to develop predictive models for churn, personalization, and customer behavior analysis.
Design, develop, and optimize advanced Pricing and Revenue Growth Management models to support strategic commercial decisions. Collaborate with cross-functional teams to translate complex business challenges into statistically robust predictive models.
Design and develop advanced Pricing and Revenue Growth Management models to drive strategic business decisions. Collaborate with cross-functional teams to translate complex business challenges into statistically robust, data-driven solutions.
The Accounting Analyst will manage daily accounting operations, including invoice processing, expense tracking, and bank reconciliations. They will also support the monthly closing process, prepare financial reports, and ensure compliance with tax regulations.
The lead will serve as a primary technical consultant to execute end-to-end AI/ML projects while designing and maintaining production-grade pipelines. They will also manage infrastructure and contribute to the strategic growth of the AI practice.
The role involves serving as a technical consultant to lead end-to-end AI/ML project implementations and translating business problems into technical solutions. You will also design, build, and maintain production-grade AI/ML pipelines while managing infrastructure and contributing to the strategic growth of the AI practice.
Design and analyze experiments to measure marketing impact and optimize growth strategies using causal inference techniques. Collaborate with cross-functional teams to build predictive models and data pipelines on the Databricks platform.
You will orchestrate production pipelines on Databricks, managing deployments via Asset Bundles and ensuring end-to-end operational reliability. Additionally, you will manage model lifecycles in MLflow and Unity Catalog while diagnosing runtime incidents in collaboration with development squads.
Orchestrate production pipelines on Databricks and manage model lifecycles using MLflow and Unity Catalog. Ensure operational continuity by managing compute resources, cost-monitoring tags, and coordinating with development squads.
You will co-develop batch and streaming data pipelines and semantic models using Databricks while defining data quality rules and SLOs. Additionally, you will mentor domain teams on data product ownership and engineering best practices to ensure scalable and auditable AI solutions.
Lead end-to-end data migration initiatives and define data architecture decisions across cloud platforms. Act as the primary liaison between engineering, product, and business stakeholders to ensure project alignment and successful delivery.
You will be responsible for industrializing, deploying, and scaling machine learning models into production environments while ensuring MLOps best practices. You will also design end-to-end training and inference pipelines while collaborating with data scientists and engineers to align technical solutions with business needs.
The role involves co-developing batch and streaming pipelines on Databricks while defining data contracts and quality rules. Additionally, the engineer will mentor domain teams on data modeling and best engineering practices.
The role involves co-developing batch and streaming pipelines on Databricks while defining data contracts and quality rules. You will also mentor domain teams on data modeling and engineering best practices to improve platform templates.
