W2 and Local : ML OPS + AI Profiles : Cupertino, CA- Onsite Day 1

Title: MLOPs + AI Profiles Location: Cupertino, CA- Onsite Day 1 Duration: Long Term Contract Job Type: Contract JOB DESCRIPTION: We are looking for MLOPs with hands-on AI profiles on below tech stack immediately Layer. Tools / Technologies Data / Workflow Apache Spark, ETL pipelines Training / Experimentation Python,PyTorch, Create ML Foundation Models (LLMs) GPT (cloud) , Claude / Gemini, Open-source: Mistral /LLaMA 3 Agent Framework Layer LangGraph, LangGraph Memory Vector DB ,SQL/Postgres

Position: Lead AI Developer Location: Sunnyvale, CA/Chicago, ILDay 1 Onsiteonly local Duration: 1 Years Lead AI Developer with hands-on expertise in implementing AI workflows using AWS Bedrock. The role requires deep technical proficiency in building AI-driven solutions with data ingestion pipelines, RAG, embeddings, and vector databases. The ideal candidate should have strong experience in coding agentic workflows, implementing MCP, and integrating HIL and validation mechanisms into dep

Title : ML Engineer Location : Palo Alto, CA (Onsite) F2F round of Interview Job Description: Strong working experience with big data tools: Spark, Kafka, Snowflake, etcExperience in AWS/Azure cloud architecturesPartitioning recommendation for data in memoryManaging a multi-user environmentExperienced with common SQL & NO SQL databases, e.g. PostgreSQL, MongoDB, RedisExperience developing applications in Python/JavaStrong knowledge in object-oriented/object function scripting languages: Python,

Hi Employers/ Bench Sales/Job Seekers This is Aarif, Technical Recruiter from Promantus. We have the following job requirements. Kindly go through to the jobs kills below and let me know your thoughts Position: ML Engineer Location: Palo Alto, CA Duration:12+ Month Must Need for F2F interview for 2 nd Round Priority Requirements: Strong working experience with big data tools: Spark, Kafka, Snowflake, etcExperience in AWS/Azure cloud architecturesPartitioning recommendation for data in memory