Pre-screened and vetted.
Director-level AI Architect/Manager specializing in GenAI, MLOps, and enterprise automation
“GenAI/ML engineering leader (player-coach) who built and deployed an image-to-text production system for topology/resource diagrams, combining YOLO-based issue detection with an LLM to generate support-ready reports at scale. Heavy AWS stack (SageMaker, Step Functions, Lambda, CloudWatch, FastAPI, Kubernetes/Docker) with KPI-driven optimization (MTTR, P50), including ~21 custom labels and reported 30–50% faster issue identification while processing thousands of images in production.”
Mid-level MLOps/DevOps Engineer specializing in cloud automation and ML pipelines
Mid-level Python Full-Stack Developer specializing in AI-driven cloud applications
Mid-level AI/ML Engineer specializing in NLP/LLMs and real-time data pipelines
Mid-level AI Engineer specializing in Ambient AI and full-stack applications
Mid-Level Software Engineer specializing in distributed systems and cloud data pipelines
Executive CTO specializing in digital transformation, AI/data platforms, and cybersecurity
Mid-level Software Engineer specializing in cloud-native microservices, MLOps, and GenAI
Mid-level AI/ML Engineer specializing in financial risk, fraud detection, and GenAI
Mid-Level Software Developer specializing in AI backend systems and distributed computing
Mid-level Python & GenAI Engineer specializing in RAG and cloud MLOps
Mid-level AI/ML Engineer specializing in real-time fraud detection and healthcare computer vision
Senior Data & AI/ML Engineer specializing in LLM/NLP platforms and cloud data engineering
Mid-level AI & Full-Stack Engineer specializing in LLM, RAG, and agentic systems
Mid-level AI/ML Engineer specializing in recommender systems, MLOps, and Generative AI
Mid-level AI/ML Engineer specializing in LLMs and document intelligence
Executive technology leader specializing in AI, cloud platforms, and enterprise SaaS
Principal Software Architect specializing in AI/ML, cloud, security, and networking