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Showing 9 jobs
Skills:
Logging, Tensorflow, Pytorch, Docker, Python, Databases, Apis, Devops, MLops, System Design, Hugging Face APIs, LoRA training, workers, observability, fine-tuning, adapters, cloud platforms, Monitoring, model-serving tools, inference optimization, queues, async workflows, GPU servers, dataset preparation
Skills:
Distributed Systems, API design, React, Neo4j, Flask, Redis, FastAPI, Python, Cloud Infrastructure, Docker, tool calling, RAG architecture, agent-based systems, Streamlit, vector search strategies, LLM APIs, PEFT, observability for AI systems, DeepSpeed, async workflows, LoRA, Gradio, Pinecone, model fine-tuning, Accelerate, Hugging Face Transformers, FAISS, prompt engineering, AWS Neptune, Qdrant
Skills:
pruning , Pytorch, Python, Sentence Transformers, ONNX, Hugging Face Transformers, RAG, quantization, TensorRT
Skills:
data engineering , Apis, Natural Language Processing, Python, Computer Vision, MLOps practices, Large Language Models
Skills:
containerization , Python, AI workflows, data pipelines, safety and control frameworks, control flows, LLMOps, agent orchestration frameworks, universal interfaces, communication patterns, model integration, cluster orchestration, testing strategies, real-time context injection, observability
Skills:
Tensorflow, Nlp, Pytorch, Spark, Keras, Python, Deep Learning, Development methodologies, Deep Learning OCR
Skills:
Tensorflow, MLops, Pandas, AWS, Pytorch, Python, Azure, Gcp, Apis, Computer Vision, Nlp, Spark, Agentic AI, GitHub Actions, LLMs, LlamaIndex, MLflow, MCP-based architectures, LLM frameworks, vector stores, Scikit-learn, RAG, LangChain, vector embeddings
Skills:
Pytorch, FastAPI, Python, Tensorflow, Gradio, Data preprocessing, Model evaluation techniques, Feature engineering, LangChain, MLOps practices, Streamlit, Scikit-learn
Skills:
C, Lvm, Design Patterns, Cpu, Windows, Gpu, Pytorch, Python, Java, Cuda, Linux, Os Concepts, Opencl, Kernel Development, Llm, object-oriented software development, TFLite, NPU, Generative AI models, AI hardware accelerators, Fixed-point representations, Quantization concepts, ONNX Runtime, SIMD processor architecture
