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AI Security Automation Engineer, AVP
Build and deploy AI-driven cybersecurity automation tools using cloud-native architectures to detect and respond to threats, working with LLMs, RAG, and agentic workflows.
Principal Cloud Developer - AI/ML
Principal Cloud Developer designs and builds cloud-native, AI-enabled enterprise applications, leading architecture, scalability, and MLOps practices in a hybrid role based in Bengaluru.
AI Solution Architect-Research Office Managed Services
Designs and implements AI-powered solutions for higher-education and academic-medical clients, focusing on scalable architectures that blend traditional ML, generative AI, and automation.
Senior Data Scientist (Agentic AI Platform)
Build and ship an agentic AI platform using LLMs, RAG, and multi-agent orchestration on Azure, while mentoring engineers and setting GenAI technical direction.
Principal Cloud Developer - AI/ML
Architect and build cloud-native, AI/ML-powered enterprise applications, leading end-to-end technical strategy, scalability, and MLOps/LLMOps practices.
Amazon Software Engineer II, Search Science Data Infra
Builds and maintains the machine-learning data pipeline and feature store that power Amazon’s product search ranking, query understanding, and personalization systems using distributed systems and AWS services.
Cybersecurity Principal | AI Security and Cyber Fraud Analytics (Remote)
Lead AI security and fraud analytics at The Home Depot, designing controls for agentic systems, deepfake detection, and AI governance frameworks like NIST AI RMF.
Unstructured Data & Knowledge Management Team - Analytics Solutions Manager (VP)
Join the team building the data foundations, platforms, and intelligent products that power decision-making across JPMorgan Chase. We are turning the firm's data and knowledge into trusted, reusable assets at…
Sr Lead Product Manager – ML Foundation Models
Lead the ML foundation model pillar at PayPal, defining training strategies for transformer-based models that generate behavioral embeddings for real-time risk decisions across fraud, credit, and compliance.
AI Engineer, Principal - TS/SCI w/Poly
Build and optimize AI-powered applications using LLMs, RAG, and AI agents, while designing scalable AI infrastructure and collaborating with cross-functional teams.
Lead Software Engineer, AI
Lead a team building AI-driven enterprise search and analytics for legal, tax, and compliance professionals using RAG, agents, and full-stack web tech.
Lead Software Engineer, AI
Lead the design and scaling of enterprise-grade AI systems, including RAG pipelines and autonomous agents, for legal, tax, and compliance domains using Python, PyTorch, and cloud-native architectures.
AI Engineer with Italian language
Build and deploy production-grade AI and Generative AI solutions in the cloud using LLMs, RAG pipelines, and Agentic AI workflows for global enterprise clients.
AI Analyst - Architecture
Design and evaluate AI integration patterns for a global insurance broker, building reference architectures and guiding enterprise adoption of emerging AI tools like LLMs and agent frameworks.
Machine Learning Engineer
Builds and deploys AI/ML models (predictive, generative, agentic) for Adobe’s creative tools (e.g., Illustrator, InDesign) to enhance user workflows, focusing on RAG, embeddings, and copilots.
Senior Data Engineer
Build and scale Databricks-based data pipelines and ETL for Adobe’s Pro Design products, enabling AI-driven analytics and experimentation with telemetry and governance in Unity Catalog.
Principal AI Engineer
Principal AI Engineer builds and scales an enterprise AI/GenAI platform for an insurer, designing agentic systems, MLOps/LLMOps pipelines, and self-service tooling to accelerate AI use cases across the business.
Research Engineer I II/III (AI / Machine Learning)
Build AI systems that ingest lab data, literature, and discussions to generate hypotheses, critique ideas, and design experiments for biomedical research.
Principal Associate, Data Scientist - Emerging ML
Build and deploy ML models (embeddings, foundation models) to improve customer experiences in banking, using Python/Scala and cloud tools like Spark and AWS.