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Vetted Machine Learning Engineers
Pre-screened and vetted.
Mid-level AI/ML Engineer specializing in NLP, computer vision, and MLOps
Mid-level AI/ML Engineer specializing in recommender systems, fraud detection, and LLMs
Mid-level Full-Stack Java Engineer specializing in scalable microservices and real-time data systems
Mid-level AI/ML Engineer specializing in NLP/LLMs and production ML systems
Mid-level Machine Learning Engineer specializing in LLMs and RAG systems
Mid-level Machine Learning Engineer specializing in NLP, recommender systems, and on-device ML
Mid-level AI/ML Engineer specializing in LLMs, RAG, and multi-agent systems
Senior Software Engineer specializing in AI/ML evaluation and full-stack systems
Mid-level AI/ML Engineer specializing in GPU-accelerated LLM and vision systems
Senior AI/ML Engineer specializing in personalization, recommendations, and forecasting
Mid-level AI/ML Engineer specializing in LLM fine-tuning and RAG systems
Mid-level Machine Learning Engineer specializing in LLMs, RAG, and GPU-accelerated cloud systems
Mid-level Generative AI & Machine Learning Engineer specializing in LLMs and RAG
Senior Machine Learning Engineer specializing in LLMs and Generative AI
Senior Data Scientist specializing in Generative AI and conversational AI
Mid-level AI/ML Engineer specializing in LLMs, ranking systems, and MLOps
Rhutwij Tulankar
Engineering Manager and ML/Data Architect specializing in scalable data platforms and personalization
“Hands-on engineering manager at a marketing company leading a highly senior, distributed team (10 direct reports) while personally coding ~60–70% and owning end-to-end architecture across three interconnected products. Built agentic CRM automation and a reinforcement-learning-driven distribution layer for channel spend/bidding, with a strong focus on scalable design and observability (Prometheus/APM/logging) enabling frequent releases and few production incidents.”