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Vetted Machine Learning Engineers in California
Pre-screened and vetted in California.
Junior Machine Learning Engineer specializing in LLMs, data pipelines, and MLOps
Mid-level Machine Learning Engineer specializing in search ranking and NLP
Mid-level AI/ML Engineer specializing in GPU-accelerated LLMs, RAG, and production MLOps
Mid-level AI/ML Engineer specializing in LLMs, RAG pipelines, and multi-agent systems
Mid-level AI/ML Engineer specializing in LLMs, search ranking, and multimodal ML
Junior AI/ML Engineer specializing in LLM agents, RAG, and multimodal data pipelines
Senior Machine Learning & GenAI Engineer specializing in LLM systems and data pipelines
Mid-level AI/ML Engineer specializing in LLM fine-tuning, RAG, and MLOps
Senior AI/ML Engineer specializing in computer vision, NLP, and real-time forecasting
Mid-level AI/ML Engineer specializing in LLMs, RAG, and multi-agent systems
Mid AI/ML Engineer specializing in LLMs, RAG, and multimodal systems
Pavithra Kollu
Mid-level Machine Learning Engineer specializing in LLMs, RAG, and search systems
“Backend/ML infrastructure engineer with experience at Perplexity and Meta building production evaluation, monitoring, and retrieval systems for AI search, autonomous agents, and LLM-powered workflows. Particularly strong in turning messy manual quality-review processes into reusable Python/FastAPI automation with measurable impact, including major gains in search relevance, latency, and grounded answer quality.”
Harish Kasu
Mid-level AI/ML Engineer specializing in Generative AI, RAG, and MLOps
“AI/LLM engineer with production experience at NVIDIA and Microsoft, including building a RAG-based enterprise knowledge assistant that improved accuracy by 42% and scaled to thousands of queries. Deep in inference optimization (TensorRT-LLM, Triton, quantization, speculative decoding) and MLOps/observability (Prometheus/Grafana, MLflow, LangSmith), plus orchestration with Kubeflow/Airflow across multi-cloud.”
Vinay Ramrupe
Mid-level AI/ML Engineer specializing in LLM and enterprise generative AI
“ML/AI engineer focused on taking LLM systems from experimentation to reliable production, including enterprise copilot and RAG-based knowledge retrieval use cases. Stands out for combining data pipelines, model training, inference optimization, automated evaluation, and safety guardrails, with cited impact including 20% throughput gains and 30% less manual evaluation effort.”
Mid-level Machine Learning Engineer specializing in LLMs, RAG, and scalable GPU inference
Mid-level AI/ML Engineer specializing in LLMs, RAG, and production MLOps
Mid-level Machine Learning Engineer specializing in search, retrieval, and generative AI
Senior Python Developer specializing in AI/ML and cloud-native microservices
Senior Machine Learning Engineer specializing in LLM inference and GPU infrastructure
Mid-level AI/ML Engineer specializing in FinTech risk and fraud systems