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Showing 9 jobs
Skills:
Matplotlib, Tensorflow, Nltk, Pytorch, Seaborn, Keras, Azure, Python, GANs, Plotly, Hugging Face, GPT, NLP techniques, VAE, Generative AI models, SpaCy
Skills:
Java, Regression Testing, Python, cost latency monitoring, vector search, orchestration patterns, tool function calling, trace inspection, structured output generation, AI systems, context engineering, agent frameworks, AI-native developer tools, agentic workflows, MCP Model Context Protocol, evaluation systems, LLM application patterns, RAG, reranking, prompt design, observability
Skills:
Ml, Api Integration, Nlp, Python, GenAI, LLMs, Ai, voice bots, backend systems, chatbots, RAG, AI agents
Skills:
Machine Learning, Deep Learning, Numpy, Pandas, Gcp, Pytorch, Docker, Azure, Kubernetes, Python, AWS, Data Processing, scikit-learn, prompt engineering, chain of thought techniques, Streamlit, feature engineering, document detail extraction
Skills:
Ml, JIRA, Confluence, Azure, AWS, LangChain, data pipelines, AI model design and training, LLMs, Hugging Face, vector databases, compute environments, prompt engineering, MLOps practices, AI frameworks, LlamaIndex, RAG architectures
Skills:
software engineering practices , Jira, Git, Databricks, RAG architecture, Python Frameworks like FastAPI, semantic similarity, LLM application development, embedding models, REST API design, CI CD, prompt engineering, vector stores, OpenAI API integration, JavaScript Frontend Development
Skills:
Apis, Git, Flask, FastAPI, Python, embeddings, LLMs, HuggingFace, vector databases, Pinecone, prompt engineering, Chroma, FAISS, OpenAI, Cohere
Skills:
Machine Learning, Azure Databricks, Grafana, Tensorflow, Pytorch, Azure Functions, Docker, App Services, Python, Azure DevOps, Natural Language Processing, Apache Spark, Sql, Deep Learning, Azure ML, Storage, Kubernetes, multi-agent systems, Key Vault, Log Analytics, Azure OpenAI, GitHub Actions, Application Insights, Scikit-learn, AKS, prompt engineering, Transformers
Skills:
Numpy, Gcp, Pandas, FastAPI, Azure, Python, AWS, embeddings, LLMs, cloud platforms, prompt engineering, Generative AI solutions, retrieval techniques
