- RxBenefits (Los Angeles, CA)
- …such as: Integrating LLM APIs Building embeddings, vector stores, or semantic search Fine-tuning prompt engineering for LLM-based systems Implementing Retrieval ... Augmented Generation (RAG) patterns . Experience consuming or integrating machine learning models in production applications . Solid understanding of RESTful API design, microservices, and distributed systems . Strong foundation in data structures, algorithms,… more
- Cognizant (Irvine, CA)
- …outputs. + Apply NLP fundamentals including tokenization, embeddings, and semantic similarity for text generation, summarization, and classification tasks. + ... Automate workflows using Python and integrate APIs, ensuring structured outputs with JSON. Work model We believe hybrid work is the way forward as we strive to provide flexibility wherever possible. Based on this role's business requirements, this is a hybrid… more
- Oracle (Sacramento, CA)
- …Skills:** + Experience with LLMs and agentic frameworks (eg, MCP, LangChain, CrewAI, Semantic Kernel). + Knowledge of RAG pipelines and vector DBs (eg, 26ai ... (SelectAI), FAISS, Pinecone, Weaviate). + Familiarity with OCI Gen AI Services and model lifecycle workflows. + Solid Python and REST API skills. + Exposure to building autonomous agents and orchestration pipelines. + Experience working with cloud platforms… more
- Google (San Francisco, CA)
- …(Vertex AI, BigQuery, Gemini) into high-value solutions like agentic workflows and semantic data layers. + Support the resolution of ambiguous hurdles that prevent ... adoption. Debug integration issues, optimize inference latency, and architect security layers to turn "demos" into production-ready assets. + Drive the "codify" phase by transforming bespoke solutions into reusable assets. Author "Golden Path" code… more
- Insight Global (Irvine, CA)
- …variables, variants, libraries, auto layout Extensive knowledge of design tokens, semantic layers, and component modularity Experience with Token Studio, Style ... Dictionary, or other token tooling pipelines Experience supporting multi-platform systems (iOS, Web, Android) Prior enterprise experience in QSR, retail, or high-growth digital teams more
- The Walt Disney Company (Glendale, CA)
- …data ingestion and vector database pipelines for document retrieval and semantic search + Fine-tune or prompt-engineer foundation models (eg, OpenAI, Gemini, ... etc.) for specific use cases + Optimize retrieval performance, prompt efficiency, and response quality through experimentation and evaluation **Required Qualifications & Skills** : + Proficient in Java and Python + Hands-on experience with AI/ML frameworks… more
- US Bank (Irvine, CA)
- …standards. **7. Support for Analytics, AI & BI Initiatives** + Define semantic layers, KPIs, and analytical data structures. + Ensure analytical data aligns ... with business definitions and governance. **8. Documentation & Communication** + Create and maintain data architecture documents, glossaries, data models, and diagrams. + Clearly communicate data architecture decisions to business and technical teams. +… more
- Oracle (Sacramento, CA)
- …with building and deploying AI assistants, agentic frameworks, vector databases, semantic enrichment processes, and the orchestration of enterprise AI workflows. ... Ability to translate complex enterprise AI requirements into actionable Oracle cloud-based solutions. + **AI/ML Solution Engineering in Lakehouse Contexts** - Advanced capability in designing and operationalizing scalable data pipelines, MLOps workflows, and… more
- Walmart (Sunnyvale, CA)
- …. Experience in VLMs for Image classification, object detection, scene/ semantic segmentation, keypoint detection, CLIP/similar for similarity . Experience in ... models for multimodal synthetic data generation . Experience with large deep-learning model fine-tuning and deployment; . Experience with prompt engineering and agentic AI design; . Solid understanding of Python and expertise in working with data science… more
- NVIDIA (Santa Clara, CA)
- …from the Crowd: + Advanced Data Modeling: Experience developing data ontology or semantic data layers that map disparate raw data into interconnected objects with ... defined properties and actionable functions. + Financial Domain Scale: A track record of managing Financial/ERP data at internet scale, ensuring transactional integrity and zero data loss. + Modern Operations: An "Infrastructure as Code" mindset with specific… more