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Showing 10 jobs
Skills:
Tensorflow, Pytorch, Python, Azure, LLMs, AWS ML stack, Semantic Kernel, Haystack, LangSmith, R, LangChain, Autogen, Generative AI, ML algorithms
Skills:
Typescript, Rest Apis, middleware, Python, Javascript, enterprise integrations, workflow orchestration tools, AI-driven transformation, webhooks, agent frameworks, LLM ecosystems, authentication frameworks, AI platforms, prompt engineering, cloud-native architectures
Skills:
Integrations, Orchestration, Apis, Automation Frameworks, AI-driven automation, enterprise service management technologies, enterprise knowledge systems, observability, agentic workflows, copilots, intelligent automation platforms, AIOps
Skills:
Data Modeling, System Architecture, Apis, internal platforms, platform-level product design, Crm Systems, developer tools, multi-tenant SaaS environments, shared system components, workflow automation
Skills:
Gdpr, Hipaa, Microservices, Databases, Python, AWS, Gxp, Apis, Cloud Architecture, Gcp, MLops, Hl7, Azure, GenAI, Data Pipelines, FHIR, Security, CI CD, LangGraph, Vector Databases, Cloud Platforms, Monitoring, LangChain, LLMs, LLMOps, Agentic AI, RAG, DPDP, LlamaIndex
Skills:
Tensorflow, Pytorch, Docker, Kubernetes, RAG workflows, Agentic AI, Hugging Face Transformers, GPU cluster architecture
Skills:
Apis, Sql, Python, LangChain, AWS Bedrock, Azure AI ML, retrieval frameworks, LLMOps, AgentOps, Snowflake Cortex, SageMaker, LLM orchestration frameworks, cloud-native AI ML platforms, multi-agent patterns, memory planning, agentic architectures, LlamaIndex, Large Language Models
Skills:
Apis, Networking, Microservices, Distributed Systems, Identity, Microsoft Azure, GenAI, event-driven architectures, cloud-native integrations, enterprise deployment patterns, CI CD, Security, infrastructure-as-code, Production Operations, containerized workloads, LLM orchestration, observability, agentic AI architecture
Skills:
cost modeling for inference at scale, generative AI, evaluation design, fine-tuning approaches, human review loops, regression suites, responsible AI governance, model evaluation, retrieval architectures, golden sets, agentic patterns, acceptance thresholds, applied machine learning
Skills:
Azure, Microservices, AI ML, Distributed Systems, AWS, Gcp, Apis, LLMs, AI governance practices, cloud-native applications, event-driven architectures, orchestration frameworks, vector databases, RAG systems
