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Vetted CUDA Professionals
Pre-screened and vetted.
Senior Data Scientist / ML Engineer specializing in GenAI, NLP, and compliant healthcare ML
Mid-level Applied Machine Learning Engineer specializing in multimodal healthcare AI
Entry-level Robotics Engineer specializing in SLAM, sensor fusion, and autonomous navigation
Mid-level Software Engineer specializing in AI/ML and cloud-native LLM applications
Junior Software Engineer specializing in ML, NLP, and data systems
Mid-level Machine Learning Engineer specializing in deep learning and applied research
Intern Applied ML Engineer specializing in LLM/RAG and Computer Vision
Mid-level AI/ML Engineer specializing in risk modeling, fraud detection, and GenAI
Senior Systems Administrator / DevOps Engineer specializing in cloud infrastructure and automation
Intern Software Engineer specializing in ML infrastructure and distributed systems
Intern Machine Learning Engineer specializing in computer vision and multimodal tracking
Mid-level Machine Learning Engineer specializing in Generative AI and foundation models
Senior Machine Learning Engineer specializing in LLMs, RAG, and multimodal AI
Intern Software Engineer specializing in AI/ML and cloud data pipelines
Intern Embedded Systems & ML Engineer specializing in automotive perception and V-SLAM
Mid-level Machine Learning Engineer specializing in LLM/VLM inference and RAG systems
Sai Manikanta Kasireddy
Mid-level Machine Learning Engineer specializing in cloud-native GenAI and RAG systems
“Built and productionized an internal GenAI chatbot that makes company policy/SOP knowledge instantly searchable, using a secure RAG architecture on AWS (Bedrock/Titan embeddings/OpenSearch Serverless, Textract/Lambda/S3 ingestion, Claude 3 Sonnet). Demonstrates strong MLOps/orchestration experience (Airflow, Step Functions with Lambda/Glue/SageMaker) and a rigorous reliability approach (RAGAS metrics, A/B testing, citation validation, monitoring), including collaboration with compliance stakeholders via review dashboards.”