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Vetted AI & Machine Learning Professionals
Pre-screened and vetted.
Popular Titles
Senior Machine Learning Engineer & Solution Architect specializing in cloud AI systems
Senior Applied Machine Learning Engineer specializing in FinTech & E-commerce
Senior Software Engineer specializing in Python AI/ML integration and experimentation pipelines
Senior AI/ML Engineer specializing in recommender systems, GenAI, and applied ML
Senior Machine Learning Engineer specializing in NLP and Generative AI
Senior Machine Learning Engineer specializing in on-device AI and large-scale deep learning systems
Senior AI/ML Engineering Manager specializing in NLP, computer vision, and MLOps
Senior AI/ML Software Engineer specializing in production ML systems
Senior AI/ML Engineer specializing in LLMs, RAG, and multimodal systems
Senior Machine Learning Engineer specializing in ranking, recommendation, and generative AI
Senior Applied Machine Learning Engineer specializing in FinTech & E-commerce
Junior Machine Learning Engineer specializing in fraud detection and healthcare ML
Senior AI/ML Engineer specializing in Generative AI, RAG, and MLOps for FinTech
Senior Applied AI Engineer specializing in enterprise AI and ML platforms
Senior Machine Learning Engineer specializing in Generative AI and NLP
Senior Full-Stack AI Engineer specializing in LLM and speech-to-text products
Staff ML Platform Engineer specializing in distributed training and inference
Jayaprakash Majji
Mid-level AI/ML Engineer specializing in LLM fine-tuning, RAG, and scalable inference
“ML/LLM engineer who built and shipped an LLM-powered internal knowledge assistant at Meta, focusing on production-grade RAG to reduce hallucinations and improve trust. Deep experience with scaling and serving (FSDP/DeepSpeed/LoRA, Triton, Kubernetes autoscaling) and reliability practices (Airflow retraining, MLflow versioning, monitoring with rollback), including sub-100ms latency and ~35% GPU memory reduction.”
Vishanth Iyer
Senior AI/ML Engineer specializing in LLMs, multimodal AI, and scalable MLOps
“ML/NLP engineer with experience at NVIDIA and Cruise building production-grade AI systems across genomics/biomedical research and autonomous vehicle data. Has delivered multimodal LLM pipelines, large-scale entity resolution, and hybrid semantic search (BERT embeddings + FAISS + Elasticsearch), with measurable impact (≈40% accuracy/retrieval gains; ≈30% data consistency improvement) and strong MLOps practices (Kubernetes, CI/CD, MLflow, Prometheus/Grafana).”
Brian Gomez
Senior Machine Learning Engineer specializing in AI/ML, NLP, and computer vision
“McKinsey & Company ML/NLP practitioner who builds production-grade AI systems across sectors (notably healthcare and finance), including RAG/LLM solutions, entity resolution pipelines, and embedding-powered search with vector databases. Demonstrated measurable impact (40% reduction in data duplication) and strong MLOps/data workflow practices (Airflow, MLflow, Spark, AWS/GCP, Prometheus, CI/CD).”