Pre-screened and vetted.
Entry-Level Data Scientist specializing in machine learning, NLP, and cloud analytics
Mid-level Machine Learning Engineer specializing in MLOps, NLP, and Computer Vision
Mid-level Data Scientist specializing in ML, NLP, and Generative AI
Junior Machine Learning Engineer specializing in LLMs and multimodal AI
Junior Software Development Engineer specializing in Python backend and Generative AI
Intern Full-Stack & AI Engineer specializing in ML-driven mobile and data platforms
Junior ML Engineer specializing in search, retrieval, and recommendation systems
Junior Generative AI Engineer specializing in LLM systems and RAG
Mid-level AI Engineer specializing in LLM agents, RAG, and evaluation
Mid-level AI/ML Engineer specializing in fraud detection, credit risk, and NLP
Mid-level AI/ML Engineer specializing in Generative AI, NLP, and RAG systems
Junior Machine Learning Engineer specializing in Generative AI and LLM agents
Mid-level Full-Stack AI Engineer specializing in agentic AI and RAG systems
“Full-stack AI engineer who has built and deployed multiple end-to-end LLM products, including an AI interview assistant, a multi-agent market research platform, and a policy document explainer. Particularly strong in productionizing agentic workflows, integrating tools like Whisper, Tavus, LiveKit, CrewAI, and LangGraph, and hardening messy real-world AI/document pipelines with validation, memory isolation, and fallback handling.”
Junior AI Engineer specializing in LLMs, RAG systems, and MLOps
“Robotics software engineer who built an end-to-end system ("justmatrix"), focusing on multi-agent orchestration and a multi-RAG retrieval backend/API. Has hands-on ROS experience, including a custom node for reliable high-frequency sensor data routing, plus deployment automation using Docker, Kubernetes, and CI/CD.”
Mid-level Generative AI & ML Engineer specializing in LLMs, RAG, and MLOps
Mid-level AI/ML Engineer specializing in NLP, GenAI, and conversational AI
“Built and deployed a production bilingual (Bengali/English) AI virtual assistant that replaced IVR for telecom customer service at massive scale (~15M users), integrating ASR/TTS, Rasa dialogue management, and custom NLP. Overcame low-resource Bengali data and noisy call-center audio with synthetic data augmentation and transformer fine-tuning, achieving significant production gains including ~50% reduction in support calls.”
Junior Full-Stack Software Developer specializing in cloud-native apps and data/AI
Junior Machine Learning Engineer specializing in LLMs, RAG, and fine-tuning
Mid-level AI Engineer specializing in LLMs, RAG, and enterprise compliance & fraud systems
Junior Computer Vision Engineer specializing in generative AI and autonomous perception