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AI Engineer designing, building, and deploying production ML and Generative AI/LLM solutions across the full lifecycle using Python, PyTorch/TensorFlow, RAG pipelines, and MLOps practices.
We are a prominent and growing Personal Injury Law Firm in Newport Beach seeking an experienced, data-driven SEO & AI Search Specialist to grow organic visibility, local presence, and qualified leads across…
Design and build Astronomer's AI-powered context layer for data, working across the stack on semantic search, code generation, and retrieval systems using Python or Go, LLMs, and vector databases in a hybrid NYC office.
Overview Microsoft Industry Solutions Delivery is a global organization hosting over 6,000 strategic sellers, industry and security experts, elite engineers, world-class data scientists and architects, consultants, and…
The Senior Data Engineer will design, build, and maintain end-to-end data pipelines and operational software applications to support Apple's Pacific supply chain operations. The role involves utilizing a diverse tech stack including Python, SQL, orchestration tools, vector/graph databases, and AI/LLM frameworks to operationalize data for business decision-making.
Builds and deploys production-grade generative AI systems using LLMs, RAG, and AI agents in Python, integrating with vector databases and cloud AI platforms.
Trilogy Care is seeking a Senior Software Engineer to design and develop web and mobile applications for the aged care sector using Vue, React, TypeScript, and React Native. The role involves collaborating with cross-functional teams to build secure, cloud-native solutions while mentoring mid-level developers.
Position Summary Join our AI team as an Intermediate AI Engineer, where you'll build and deploy AI applications, agents, and automation solutions that solve real business problems. You'll work closely with…
Develop and deploy ML/DL models and generative AI systems (RAG, agentic AI) for an automotive client in Pune, using Python and Azure OpenAI in an Agile, cross-functional team.
Build production AI agent systems that automate large-scale GPU infrastructure—diagnosing hardware failures, investigating incidents, and supporting remediation using distributed services, knowledge graphs, retrieval/orchestration frameworks, and developer tooling.
This role involves driving applied research and product-oriented data science for an Agentic AI platform, focusing on LLM fine-tuning, evaluation, and knowledge graph development. The position requires deep technical expertise in machine learning and production-scale AI deployments to deliver robust agentic solutions.
Design and deploy enterprise-scale ML systems and knowledge graphs for Dell, building agentic AI applications, RAG pipelines, and semantic data layers using Neo4j/Stardog and distributed data tech.
Design and build enterprise-grade Agentic AI platforms and solutions for investment management operations, working with LLMs, RAG, multi-agent frameworks (LangGraph, LangChain, etc.), Python, and major cloud services.
The AI Architect designs and implements scalable, secure, and enterprise-ready AI and Agentic AI architectures. They collaborate with cross-functional teams to bridge the gap between experimentation and production using cloud ecosystems, MLOps tools, and modern AI frameworks.
The Data Engineer Senior Manager leads the design and delivery of enterprise-scale data and AI solutions, including lakehouse architectures and generative AI applications. This role involves mentoring technical teams, driving digital transformation, and managing client relationships within a global advisory practice.
The Data Engineer Manager leads teams in designing and deploying scalable data pipelines, lakehouse architectures, and AI-enabled solutions using Python, SQL, Spark, and cloud platforms. This client-facing role involves technical leadership, mentoring staff, and driving digital transformation projects.
Senior Machine Learning Engineer on the Applied Science Data Frameworks team building foundational infrastructure for large-scale multimodal AI training and inference, working with distributed systems, data engineering fundamentals, and ML infrastructure using technologies like PyTorch, Apache Ray, Spark, and Docker.
Software engineer building Python-based AI/LLM applications, RESTful APIs, and microservices with Docker/Kubernetes CI/CD pipelines at Cisco's Customer Experience engineering organization.
Design and build cloud-native data platforms and pipelines to power Mastercard’s AI and Generative AI solutions, including feature stores, vector databases, and MLOps workflows.
The Principal Architect will lead the technology architecture strategy for Treasury, Liquidity, Risk, and Finance domains at Wells Fargo. This role involves driving large-scale modernization, cloud adoption, and AI integration while ensuring regulatory compliance and operational resilience.
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