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Vetted Machine Learning Engineers in the NYC Metro
Pre-screened and vetted in the NYC Metro.
Senior Machine Learning Engineer specializing in recommender systems, search, and NLP/GenAI
Senior Machine Learning Engineer specializing in Generative AI and NLP
Mid-level AI/ML Engineer specializing in LLM training, RAG, and low-latency inference
Krishna Reddy
Mid-level AI/ML Engineer specializing in fraud detection and clinical LLM assistants
“Built and deployed a production clinical support LLM assistant at Mayo Clinic using a LangChain-orchestrated RAG architecture (Llama 2/PaLM) over de-identified clinical records, integrating BigQuery with Pinecone for semantic retrieval. Focused on healthcare-critical reliability by reducing hallucinations through grounding, implementing HIPAA-aligned privacy controls (Cloud DLP, VPC Service Controls), and running structured evaluations with clinician feedback.”
Benjamin Ung
Senior Machine Learning Software Engineer specializing in computer vision and simulation
“Robotics engineer who worked on a lunar rover program, building a simulation environment that mirrored real hardware interfaces and incorporated moon-terrain slip/friction modeling validated against a physical “moon yard.” Also integrated an ML-based munition X-ray inspection system via REST APIs, deploying and scaling inference on Azure with Kubernetes plus Prometheus monitoring, load balancing, and self-healing reliability mechanisms.”
Durgaprasad G
Mid-level AI/ML Engineer specializing in LLM infrastructure, RAG, and agentic systems
“Stripe engineer who owned and unified multiple team RAG systems into a shared production platform used by 200+ internal operators, deployed on EKS with Kafka ingestion and hybrid retrieval. Drove measurable business outcomes including <400ms latency, ~35% inference cost reduction, ~25% accuracy lift via fine-tuning, and real-time auto-approval of 80%+ merchant compliance applications through strong observability and reliability patterns.”
Mid-level AI/ML Engineer specializing in cloud MLOps and GenAI for fraud detection
Senior AI Engineer specializing in healthcare and FinTech AI systems
Mid AI/ML Engineer specializing in LLM alignment and scalable AI systems
Asrith Velireddy
Mid-level AI/ML Engineer specializing in MLOps, LLMs, and scalable ML systems
“ML/LLM engineer at Adobe who deployed a transformer-based personalization and campaign-targeting recommender system end-to-end, including PySpark/Airflow pipelines processing 12M+ events/day and containerized inference on AWS SageMaker (Docker/Kubernetes). Also has hands-on LLM workflow experience (RAG, semantic search, prompt optimization, hallucination mitigation) with a metrics-driven approach to reliability, drift monitoring, and reproducible retraining via MLflow.”
Senior AI/ML Software Engineer specializing in LLM and RAG systems
Mid-level AI/ML Engineer specializing in Generative AI and enterprise machine learning
Mid-level AI/ML Engineer specializing in NLP, Computer Vision, and Generative AI
Principal Machine Learning Architect specializing in AI platforms and data science
Mid-level AI/ML Engineer specializing in financial crime detection and retail analytics
Mid-level Machine Learning Engineer specializing in MLOps, NLP, and quantitative trading
Mid-level AI/ML Engineer specializing in financial services and generative AI
Mid-level AI/ML Engineer specializing in financial risk, fraud detection, and NLP
Mid-level AI/ML Engineer specializing in forecasting, anomaly detection, and enterprise ML pipelines
Mid-level Machine Learning & Biostatistics professional specializing in healthcare AI
Senior AI/ML Engineer specializing in LLM, NLP, and conversational AI