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Principal Data Scientist designs, deploys, and monitors AI/ML solutions—including GenAI, agentic systems, and traditional models—to transform customer service and operations in a large bank.
Lead enterprise-grade generative and agentic AI programs, designing secure, production-ready systems and reusable architectures for Fortune 500 clients across industries like insurance, healthcare, and banking.
Build and deploy AI-native applications using LLMs, agents, and vector search, spanning full-stack development with React, Python, and Google Cloud AI tools.
Build and deploy NLP and generative AI models to improve public services, focusing on evaluation, experimentation, and production integration using Python, SQL, and cloud AI services.
Design, build, and deploy ML models to improve prediction and decision-making across Absa’s African banking operations, using Python, MLOps, and cloud-native tools while ensuring responsible AI and regulatory compliance.
Lead a team to build and deploy scalable ML models and analytics pipelines in AWS for media and entertainment use cases like audience analysis, content performance, and marketing optimization.
Build and deploy enterprise-scale AI/ML models to improve operational efficiency and customer outcomes, working with engineers and product teams to move solutions from concept to production.
Fine-tunes large language models using instruction fine-tuning and domain adaptation to improve model relevance and performance in specific contexts.
Own the AI strategy and product roadmap for Netflix’s internal tools that organize, enrich, and automate understanding of its vast content catalog using machine learning and LLMs.
Lead AI-driven pricing and financial reconciliation systems for a global travel platform, designing model-integrated infrastructure that sets reference prices, detects anomalies, and ensures revenue integrity across millions of transactions.
Lead a finance analytics team to build data warehouses, BI systems, and AI/ML models on GCP that automate finance processes and provide self-service insights for stakeholders.
About the Role Hopper is looking for a Lead, Finance Analytics & Enablement AI/ML to own our data warehouse, business intelligence, GCP/AI optimization, and Finance AI enablement strategy. You will be a key…
Lead a team to build and optimize Hopper’s finance data warehouse, AI/ML automation, and GCP infrastructure, turning financial data into actionable insights and self-service analytics for stakeholders.
Lead a team to build and optimize Hopper’s finance data warehouse, BI, and AI/ML automation, turning financial data into actionable insights and enabling AI-driven decision-making across the travel-fintech platform.
Senior AI/ML Engineer designs, deploys, and scales secure, production-grade AI/ML systems for defense missions, defining MLOps standards and collaborating with cross-functional teams.
Design and deploy secure, scalable AI/ML systems and MLOps pipelines to support defense missions, collaborating with cross-functional teams in a classified environment.
- 5+ years of technical program management working directly with software engineering teams experience - 7+ years of working directly with engineering teams experience - Experience managing programs across cross…
- 5+ years of technical product or program management experience - 2+ years of end to end product delivery experience - Bachelor's degree - Experience owning/driving roadmap strategy and definition - Experience…
Designs and builds evaluation systems to measure and improve the quality of Apple’s large language and multimodal AI models, collaborating with researchers and engineers to turn research into production-grade tools.
Product Manager to build AI-native capital-markets infrastructure for public companies, automating transfer-agent workflows and multi-party processes with human-in-the-loop AI.
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