Pre-screened and vetted.
Junior Machine Learning Engineer specializing in multimodal systems and LLMs
“Built and productionized a domain-specific LLM-powered RAG knowledge assistant at JerseyStem for answering questions over large internal document corpora, owning the full stack from FAISS retrieval and LoRA/QLoRA fine-tuning to AWS autoscaling GPU deployment. Drove measurable gains (28% accuracy lift, 25% latency reduction) and improved reliability through hybrid retrieval, grounded decoding, preference-model reranking, and Airflow-orchestrated pipelines (35% faster runtime), while partnering closely with non-technical stakeholders to define success metrics and ensure adoption.”
Mid-level Machine Learning Engineer specializing in NLP, MLOps, and predictive risk modeling
Mid-level AI/ML Engineer specializing in LLM systems, MLOps, and real-time fraud detection
Mid-level AI/ML Engineer specializing in MLOps, NLP, and multimodal healthcare AI
Mid-level AI/ML Engineer specializing in LLMs, RAG, and cloud AI infrastructure
Mid-level Machine Learning Engineer specializing in MLOps, GenAI, and financial risk modeling
Principal AI/ML Engineer specializing in LLMs, RAG pipelines, and production MLOps
Mid-level AI/ML Engineer specializing in MLOps, LLMs, and computer vision
Senior Machine Learning Scientist specializing in forecasting, optimization, and agentic LLM systems
Mid-level AI/ML Engineer specializing in LLM agents, search/recommendation, and MLOps
Mid-level Software Engineer specializing in AI/GenAI and cloud-native backend systems
Mid-level AI Engineer specializing in NLP, computer vision, and MLOps
Junior Data Scientist specializing in machine learning and recommendation systems