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Engineers and deploys production-grade AI/ML systems using MLOps practices on Azure, managing model lifecycle, CI/CD, and monitoring for scalable, secure deployments.
Build and deploy AI models using Python, TensorFlow/PyTorch, and MLOps on Azure to drive predictive analytics and business insights.
Build and deploy AI models using Python, TensorFlow/PyTorch to generate business insights and predictive analytics, collaborating with cross-functional teams.
Neuromorphic Labs is a Seed stage AI Startup, backed by top-tier VCs. We are looking for a Founding Forward Deployed AI Engineer to help customers integrate our platform into their production AI environments, from…
Build and deploy generative AI systems, RAG pipelines, and multi-agent workflows using LLMs (OpenAI, Azure OpenAI, open-source) and MLOps/LLMOps practices.
Lead DevOps Engineer designs and maintains CI/CD pipelines, infrastructure-as-code, and cloud-native architectures using Azure DevOps, Bicep, and Azure services.
Build and scale AWS-based MLOps and cloud-native infrastructure for production AI systems, including CI/CD, Kubernetes, and AI agent deployments.
Lead the enterprise AI practice, define AI strategy and architecture, and oversee Generative AI, LLMs, NLP, CV, RAG, and MLOps to drive measurable business value and adoption.
Build and deploy enterprise-grade AI agents and RAG systems for Fortune 500 customers using Snowpark, Cortex, and native LLM capabilities, owning the full lifecycle from prototype to production.
Lead AI engagements for Fortune 500 customers, designing and deploying agentic workflows and RAG systems while mentoring a small team of engineers to productionize scalable, high-quality AI solutions.
Build and deploy large-scale AI foundation models for machine-generated data (logs, graphs, time series) to improve reliability, security, and predictive insights across Splunk’s observability and security platforms.
Oversee AI and Generative AI projects from planning to production, coaching teams on AI integration and ensuring responsible delivery with Agile and MLOps practices.
Design human-AI collaboration for financial crime and onboarding workflows, creating transparent, accountable systems where agents gather evidence and support specialists in decision-making.
Embed within client teams to design and deploy scalable data platforms, ML pipelines, and GenAI workflows using Python, Spark, and cloud-native tools.
Senior ML Engineer builds and deploys production-grade AI services for Hyatt’s hospitality data, including real-time and batch inference systems, MLOps pipelines, and scalable ML infrastructure.
Lead AI strategy and delivery for TMT clients, shaping GenAI offerings and advising C-suite on secure, scalable AI transformations across telecoms, media and tech.
Build and maintain enterprise-grade communication surveillance apps for a bank using Java/Spring Boot, React, Node.js, and cloud tools; integrate AI/ML for detecting compliance breaches across emails, chats, and voice transcripts.
Designs and maintains scalable data pipelines and ML-ready datasets for analytics and AI use cases in a global payments company.
Join us as an Treasury AI Engineering Lead In this key role, you’ll lead the adoption and scaling of Generative AI and advanced machine learning (ML) within Treasury to transform our function into a predictive,…
Build and run Java/Spring Boot microservices for Maersk’s rate engine, integrating Kafka events and APIs to handle pricing flows and improve system reliability with AI-assisted engineering tools.
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