Pre-screened and vetted.
Executive Technology Leader specializing in AI, data science, and digital transformation
Senior AI/ML Engineer specializing in personalization, recommendations, and forecasting
Mid-level Data Engineer specializing in cloud-native big data pipelines and analytics
Junior Software Engineer specializing in AI infrastructure and applied machine learning
Senior Machine Learning Engineer specializing in LLMs and Generative AI
Mid-level AI/ML Engineer specializing in LLMs, ranking systems, and MLOps
Principal Data Scientist / AI Engineer specializing in healthcare-native AI platforms
Senior Data Scientist specializing in LLMs, agentic AI, and MLOps
“Built and shipped a production agentic LLM tool that helps internal teams update technical product whitepapers using plain-language edit requests, with strong guardrails (citations, verification, refusal/clarify flows) to reduce hallucinations and maintain compliance. Experienced taking LLM workflows from rapid LangChain prototypes to more predictable, debuggable LangGraph agent graphs, and orchestrating end-to-end ingestion/embedding/indexing/eval/deploy pipelines with Kubeflow.”
Intern Machine Learning Engineer specializing in vision-language models and robotics
“Robotics software engineer with hands-on experience building a vision-guided grasping pipeline on a 7-DOF Franka arm, implementing gradient-based IK with null-space optimization and RRT* motion planning in ROS1. Strong in sim-to-real deployment and real-world debugging—addressed frame misalignment via hand-eye calibration and centralized TF configuration, and reduced replanning/jitter by tuning a weighted pose filter using rosbag replay and variance/grasp-time metrics. Also built an ESP32-based mobile robot architecture combining embedded decision-tree control with WiFi/web high-level commands.”
Senior Data Scientist specializing in machine learning, NLP, and MLOps
“ML/NLP engineer with experience building production-grade legal-tech and data platforms, including a GPT-4/LangChain contract review system using ElasticSearch embeddings (RAG) deployed on AWS EKS. Strong in entity resolution and scalable batch/streaming pipelines (Kafka/Spark), with measurable impact (70%+ reduction in contract review time) and a focus on monitoring and CI/CD for reliable delivery.”
Senior AI & Data Engineer specializing in LLM agents, RAG, and data platforms
Director of Engineering specializing in capital markets risk, trading systems, and AI/ML platforms
Mid-level Machine Learning Engineer specializing in real-time fraud detection and edge AI
Staff AI/ML Engineer specializing in NLP, recommender systems, and Generative AI
Executive AI Platform & Innovation Leader specializing in Banking, GenAI, and AI Governance
Mid-level Machine Learning Engineer specializing in LLMs, RAG, and real-time recommendation systems
Mid-level Machine Learning Engineer specializing in reinforcement learning and multimodal AI
Senior Backend Engineer specializing in cloud-scale APIs, data pipelines, and geospatial systems