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Vetted OpenCV Professionals
Pre-screened and vetted.
Intern Machine Learning Engineer specializing in NLP and search
Mid-level Data Scientist specializing in NLP, MLOps, and semiconductor manufacturing analytics
Intern Software Engineer specializing in full-stack systems and computer vision
Intern Machine Learning & Cloud Engineer specializing in cloud-native deployment and forecasting
Mid-level AI/ML Engineer specializing in LLMs, RAG pipelines, and multi-agent systems
Junior AI/ML Engineer specializing in LLM agents, RAG, and multimodal data pipelines
Mid-level Data Scientist / GenAI & ML Engineer specializing in LLMs, RAG, and recommendations
Junior Robotics Perception Engineer specializing in computer vision and autonomous navigation
Mid-level Machine Learning Engineer specializing in LLMs, ranking, and scalable ML systems
Intern Machine Learning Engineer specializing in optimization, federated learning, and LLMs
Intern Hardware/Robotics Engineer specializing in autonomous systems and test automation
Intern Robotics Software Engineer specializing in perception and ML systems
Mid-level AI/ML Engineer specializing in Generative AI agents and FinTech risk systems
Senior AI/ML Engineer specializing in computer vision, NLP, and real-time forecasting
Senior Software Engineer specializing in cloud platforms for healthcare and e-commerce
Intern Machine Learning Engineer specializing in LLM systems and recommendation/search
Senior Software Engineer specializing in cloud platforms, data pipelines, and ML
Senior Data Scientist specializing in large-scale ML systems and recommendations
Mid-level AI/ML Engineer specializing in NLP, computer vision, and recommender systems
Harish Kasu
Mid-level AI/ML Engineer specializing in Generative AI, RAG, and MLOps
“AI/LLM engineer with production experience at NVIDIA and Microsoft, including building a RAG-based enterprise knowledge assistant that improved accuracy by 42% and scaled to thousands of queries. Deep in inference optimization (TensorRT-LLM, Triton, quantization, speculative decoding) and MLOps/observability (Prometheus/Grafana, MLflow, LangSmith), plus orchestration with Kubeflow/Airflow across multi-cloud.”