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Showing 9 jobs
Skills:
Data structures, Git, Docker, System Design, Restful Apis, Kubernetes, Python, Vector search, Generative AI, AI governance principles, Performance optimization, Evaluation pipelines, Embeddings, Agentic AI, LLM APIs, Agent frameworks, Monitoring pipelines, Scalable service architectures, Autonomous decision workflows, RAG pipelines
Skills:
Python, Prompt engineering evaluation, RAG at scale, LLM system design, Cloud-native design, GenAI systems
Skills:
Tensorflow, Pytorch, LangChain, embeddings, Advanced Python skills, Hugging Face, OpenAI, autonomous AI agents, prompt engineering
Skills:
Deep Learning, Nlp, Gcp, Pytorch, Python Programming, Azure, Computer Vision, AWS, observability monitoring, LLMs, Hugging Face, Agentic AI solutions, vector hybrid search, LLM fine-tuning, advanced prompt engineering techniques, Vertex AI, RAG, guardrails, Document Processing, AI ML systems
Skills:
Python, Tensorflow, Pytorch, Azure Cloud, MLOps tools, CI/CD
Skills:
Apis, PostgreSQL, Git, Distributed Systems, MongoDB, Python, pgvector, AI security principles, Pinecone, AI technologies, microservices architectures, ML applications, RAG Retrieval-Augmented Generation systems, LLM fine-tuning, CI CD pipelines, model evaluation methodologies, Amazon Bedrock, dataset engineering
Skills:
API development and integration, Python, Monitoring observability or MLOps concepts, Agentic frameworks or orchestration patterns, Generative AI and LLMs, Tool calling and action execution, CI CD and modern DevOps practices
Skills:
AI Integration Tools - LangChain LlamaIndex, Tensorflow, Pytorch, Machine Learning Frameworks, AI model fine-tuning techniques, Prompt engineering, AWS Bedrock, Vector Database architectures, Advanced Python programming for AI ML applications, Retrieval Augmented Generation RAG, Hugging Face, LoRA Low-Rank Adaptation techniques, Amazon SageMaker, Machine Learning architectures, Generative AI Technologies, AI system design and integration, GraphRAG methodologies, Cloud-native AI solution design, Large Language Models LLMs, AWS AI services, Agentic AI design principles
Skills:
data engineering , containerization , Software Engineering, Python, agent orchestration frameworks, testing strategies, cloud platforms, LLMOps, data pipelines, machine learning engineering, observability, communication patterns, real-time context injection, control flows, cluster orchestration, AI workflows
