多岗位招人intern; Java AI&ML;NLP data scientist; mobile; big data;全都sponsor

简历请发送至  jack.krelum 艾特 及迈尔, 都sponsor H1B和绿卡，都remote




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GenAI / NLP Engineer for Lexis Nexis (Remote) （contract to hire)




Need to have a few years doing NLP Engineering (5 years) and then have moved into GenAI the last 2-3 years.




If you have FAANG experience or startup experience or PhD, the number of years experience could be lower.




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We are also hiring non paid quant research/ SDE intern, fully remote




High growth quant trading team




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野村招Salesforce architect 和senior Salesforce engineer，long term contract, 需要在费城onsite




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Back End Java - (AI & ML) - Walmart (Hybrid - Sunnyvale, CA)







Walmart is seeking a hands-on Java backend engineer with real AI/ML/GenAI delivery experience. You’ll build and scale JVM-based microservices that power LLM features (chat, retrieval, summarization, agents), owning APIs, data pipelines, and production reliability.




What you’ll do




Design and ship Java (Java 11+/17, Spring Boot) microservices for AI/ML use cases (RAG, embeddings, inference, evaluations).




Build secure REST/GraphQL APIs and integrate with LLM providers (Azure OpenAI/OpenAI, Bedrock, Vertex).




Implement retrieval pipelines: document ingestion, chunking, embeddings, vector stores (pgvector, Pinecone, FAISS, Milvus).




Orchestrate workflows, prompt versions, tool/function calling, and guardrails (moderation, PII redaction, rate limiting).




Optimize performance, latency, and cost; add observability (metrics, tracing, logging) and run A/B or offline evals.




Partner with Product, MLE/Data, and Platform teams; uphold code quality, testing, and CI/CD best practices.




Required qualifications




5–8+ years backend engineering with Java and Spring Boot (concurrency, JVM tuning, resiliency patterns, caching).




2+ years hands-on with LLMs/GenAI or ML in production, including:




Prompt design & function/tool calling; RAG and retrieval pipelines.




Embeddings + vector databases (pgvector/Pinecone/FAISS/Milvus).




Evaluation/guardrails and incident-aware observability.




Experience integrating with at least one cloud AI platform: Azure OpenAI, AWS Bedrock, Google Vertex AI, OpenAI APIs.




Proven design of scalable APIs/microservices, data modeling, and CI/CD (GitHub Actions/Azure DevOps/Jenkins).




Nice to have




Kafka/Kinesis streaming; Elasticsearch/OpenSearch; Redis caching.




Data/ML stack: Python for data prep/inference services, Spark, Feature stores.




Containers & platform: Docker/Kubernetes, service mesh, secrets management.




Security/compliance for AI systems (prompt/version control, input/output filtering).

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Mobile SDET/QA (with Appium) - Walmart [Hybrid - Sunnyvale, CA] 

• APPIUM IS A MUST
• Design, build and innovate a detailed automation framework and methodology for testing end2end, from frontend to backend, including mobile clients.
• Develop and maintain robust, scalable, reusable, data driven automated test scripts across test and production applications.
• Maintain and update an automation framework with a centralized test case repository in CI.
• Analyze performances and identify bottlenecks of web-frontend and the backend services.
• Experience with automation tools: Appium
• Experience in end-to-end test automation for Backend, UI, and mobile applications
• Experience with developer tools like JIRA, IntelliJ, GIT and Maven
• Improving test workflows via automation (GitHub and Slack integrations, notifications and alerts)

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Title: Big Data Engineer




Client: Walmart

Location: Sunnyvale, CA

Strong in real time & batch pipelines in big data technologies

• (i.e. Spark/Kafka/Cassandra/Hadoop/Hive/Elasticsearch)

 Proficient in RESTful Services, Java, Scala, Spring Boot/Play Framework, RDBMS, NoSql, Python

• Proficient in development of scalable cloud native microservices
• Proficient with Designing and building APIs

Azure and or GCP exposure and experience