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Showing 9 jobs
Skills:
Api Development, Tensorflow, Pytorch, Gcp, Azure, Python, AWS, LangChain, Airflow, Prompt engineering, LLMs, Scikit-learn, Hugging Face, Data pipeline construction, MLflow, ETL processes, Kubeflow, LlamaIndex
Skills:
Apis, Testing, Git, Python, precision recall trade-offs, confidence scoring calibration, event-driven architectures, software engineering fundamentals, production deployment on cloud, email ingestion pipelines, multimodal vision models, LLM APIs, OCR services, CI/CD, document AI, attachment parsing
Skills:
Python, Tensorflow, Algorithms, Data structures, Rest Apis, Pytorch, Kubernetes, Docker, Lang Chain, Claude, Large Language Models, Gemini, Llama, Scikit-learn, Hugging Face, System design principles, Microservices architecture, Lang Graph, Llama Index, Prompt engineering, CI/CD pipelines
Skills:
containerization , API design, Testing, Python, Version Control, AWS Bedrock, infrastructure-as-code, Anthropic Claude APIs, Strands SDK, large language model orchestration, LangChain, CrewAI, prompt engineering, LangGraph, AI system architecture
Skills:
Python, AWS, FastAPI, Azure, Gcp, Numpy, Pandas, LLMs, RAG, GenAI, prompt engineering, embeddings
Skills:
Python, Databricks, Sdlc, System Design, AWS, FastAPI, LLMs, Multi-agent orchestration, AI agent development, Semantic Kernel, Azure AI Foundry, Vector search systems, Production grade scalable AI systems, Enterprise AI platforms, LangChain, Agentic AI, Generative AI, LangGraph, Cloud native architectures, Embedding pipelines, Transformers
Skills:
Rest Apis, Microservices, Azure Databricks, Cloud Services, Kubernetes, Python, Docker, AI orchestration frameworks, Generative AI solution design, Developing agentic AI workflows, AI Engineering Generative AI, Data pipelines, Event-driven architectures, Large Language Model LLM application development, Feature engineering, Building deploying and maintaining AI-powered applications, CI CD pipelines, Software Engineering Application Development, Prompt engineering
Skills:
API development and integration, Python, Agentic frameworks or orchestration patterns, Common LLM failure modes and mitigation techniques, Tool calling and action execution, CI CD and modern DevOps practices, Generative AI and LLMs
Skills:
Python, multimodal models, hallucination mitigation techniques, LLMs, OpenAI, LlamaIndex, fine-tuning workflows, fine-tuning techniques, PEFT, Haystack, LoRA, LangChain, CI CD pipelines, Mistral, Generative AI models, instruction tuning, RAG pipelines, MLOps tools, guardrails, data pipelines, LLaMA, Anthropic, safety mechanisms, model monitoring, prompt engineering
