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ABOUT APPLY APPLY is the Agentic Customer Experience (ACx) partner for the world's most ambitious consumer and entertainment brands. We bring together deep domain expertise across Retail, CPG, Sports, and Media…
Designs and builds scalable data platforms and ML solutions on AWS for clients, focusing on ETL/ELT pipelines, analytics, and automation.
Builds and deploys ML models for Firecrawl’s search and data extraction systems, focusing on ranking/relevance, LLM-driven features, and A/B testing frameworks.
A contract data scientist role focused on building data pipelines, creating dashboards, and developing AI/ML models to drive business insights and recommendations for Deloitte’s clients.
Build ML models and pipelines from scratch for a fintech payments orchestrator, including a real-time routing engine and recommendation system to boost merchant conversion and revenue.
Designs and implements scalable data pipelines using Microsoft Fabric to migrate, transform, and curate data for analytics, compliance, and reporting, focusing on ingestion, business rules, and downstream integrations.
Builds and maintains scalable data pipelines, feature stores, and MLOps solutions for RBC’s AI-driven underwriting in retail credit, focusing on cloud (AWS/Azure) and on-prem infrastructure to enable rapid ML model deployment and governance.
Senior ML/AI Engineer in NYC builds and deploys production-grade AI systems for demand forecasting, consumer intelligence, and autonomous decision-making using Python, ML frameworks, and graph RAG architectures.
Builds and maintains GCP-based data pipelines (BigQuery, Kafka, Airflow) for fintech analytics, compliance, and AI/ML data prep, ensuring quality, scalability, and governance in a regulated environment.
Build and deploy end-to-end data-science solutions—from model design to production—using Python, ML frameworks, MLOps and cloud-native tools to deliver measurable business impact.
Build and deploy AI systems for edge and embedded environments, from R&D to production, focusing on model training, evaluation, optimisation, and MLOps to deliver real-world impact in demanding settings.
Lead Data Scientist builds and deploys predictive models and causal inference methods to forecast user behavior and business outcomes, working end-to-end in Python, SQL, and Spark.
Leads the design, deployment, and operationalization of AI/ML solutions for fintech, focusing on enterprise-wide automation, decision-making, and efficiency. Specializes in end-to-end ML lifecycle, MLOps, and scalable model production in cloud environments.
Senior ML engineer builds and optimizes AI-driven feature pipelines and model training systems for a deep-learning ad platform, using Python, Spark, Kafka, and PyTorch.
Builds and deploys data models, ML pipelines, and AI-driven analytics to extract insights from complex datasets, using SQL, Python, and cloud platforms like AWS/GCP. Bridges technical and business teams by translating data into actionable strategies.
Builds explainable AI models (NLP, LLMs, retrieval systems) to analyze trillions of daily signals, enabling GTM teams to act on account insights via RevvyAI and APIs. Owns end-to-end ML pipelines, collaborates with product/GTM, and mentors engineers.
The Senior AI Engineer will design and deliver enterprise AI solutions for the banking sector, focusing on the full ML lifecycle, LLM integration, and MLOps. The role involves collaborating with cross-functional teams to build scalable, secure, and compliant AI systems using Python, cloud platforms, and modern orchestration frameworks.
Design and build scalable, cloud-native AI infrastructure including MLOps pipelines, multi-modal feature platforms, and production-grade model training/deployment workflows using AWS, GCP, Azure, and AliCloud.
Who We Are At Bennett Data Science, we've been pioneering the use of predictive analytics and data science for over a decade for some of the biggest brands and retailers. We're at the top of our field because…
¿Listo/a para dar el siguiente paso como Data Scientist / MLOps Engineer en un entorno tecnológico? Inscríbase rápido, consulte la descripción completa desplazándose hacia abajo para conocer todos los requisitos de…
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