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Showing 10 jobs
Skills:
Machine Learning, Data Science, Software Engineering, risk management, generative AI, Ai, enterprise AI tools, modern AI development frameworks, model quality validation, responsible AI, cloud-based AI platforms, large language models, Governance, AI-enabled workflows
Skills:
Machine Learning, Data Science, Software Engineering, risk management, generative AI, Ai, enterprise AI tools, modern AI development frameworks, model quality validation, responsible AI, cloud-based AI platforms, large language models, Governance, AI-enabled workflows
Skills:
containerization , Apis, SAP BTP, Microservices, Kubernetes, SAP AI Launchpad, SAP AI Core, AI Prototyping, Azure AI Services, AWS AI Services, Developer tooling, SDKs, Cloud-native applications, Large Language Models
Skills:
Sql, AI Tools, Analytics, Experimental Design
Skills:
Spark SQL, Oracle Database, Apache Spark, Tableau, Databricks, AWS, RDDs, Amazon SageMaker, DataFrames, DataRobot, ML Ops, IDMC Informatica Data Management Cloud
Skills:
Tensorflow, Pytorch, Docker, Python, AWS, Gcp, Azure, Kubernetes, embeddings, Hugging Face, vector databases, Ray, MLflow, Pinecone, model evaluation, RAG pipelines, NLP concepts, AI ML frameworks, OpenAI Assistants, LangChain, prompt engineering, AutoGen, FAISS, Milvus, Weaviate
Skills:
Effort Estimation, Gcp, Azure, Python, AWS, LangChain, agentic AI solutions, AI ML engineering, RAG patterns, ADK, agent design patterns, LangGraph, AutoGen, solution scoping, presales activities, agent evaluation techniques, Proposals, Microsoft Agent Framework, Pricing
Skills:
Pytorch, MLops, Python, Deep Learning, Generative AI, Langchain, LMM, Llm
Skills:
Sql, Bitbucket, Jwt, Github, Typescript, AWS, Gitlab, RESTful, Python, Azure, Version Control, Gcp, Oauth2, Api Development, Sso, cloud platforms, LLM integration, Access Control, GRPC, MCP, LangChain, middleware systems, LangGraph
Skills:
Python development, Containerization and Kubernetes environments, CI CD pipelines and version control workflows, Model serving or inference runtime concepts, Vector database usage and embedding pipelines, RAG concepts including embedding and retrieval, Monitoring logging and tracing fundamentals
