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Showing 10 jobs
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:
Java, Rust, Typescript, AWS, Node.js, Kubernetes, Python, Apis, Microsoft Azure, agentic AI systems, retrieval-augmented generation, Go, infrastructure as code, observability platforms, secure software development, cloud-native software engineering, secrets management, LLM applications, AI engineering
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:
Docker, FastAPI, Python, Kubernetes, CI CD pipelines, Kubeflow, MLflow
Skills:
triton , Kubernetes, Python, Docker, retrieval evaluation, vLLM, model serving frameworks, transformer architecture, GPU scheduling, PEFT, hallucination mitigation, embedding model selection, Weaviate, LoRA, pgvector, TGI, NDCG, Ollama, MRR, MLflow, tokenisation, attention mechanisms, fine-tuning paradigms, chunking strategy, RAG systems, HuggingFace Transformers, Chroma, document ingestion
Skills:
containerization , Apis, SAP BTP, Microservices, Kubernetes, multi-agent systems, AI orchestration frameworks, SAP AI Launchpad, AI Agents, SAP AI Core, intelligent automation solutions, Azure AI Services, AWS AI Services, Full-Stack Development, Agentic AI engineering, MCP-based integrations, cloud-native architectures, SDKs, developer tooling
Skills:
containerization , Sql, Databricks, Pyspark, MLops, Python, Azure, Nlp, evaluation frameworks, Llm, Transformers, model optimization, agentic AI frameworks, vector databases, RAG classification, prompt engineering
Skills:
Hadoop, Bash, HBase, Impala, Hive, Terraform, Ansible, Spark, Cloudera, Python, Talend Big Data, HDFS, Ozone, Iceberg
Skills:
Unix, Hadoop, Pyspark, Apache Spark, Sql, ELT, Big Data Technologies, Git, Linux, Data Lake, Python, Etl, Enterprise Data Warehouse, Lakehouse architecture
Skills:
Ml, BigQuery, Dataproc, Avro, Incident Response, Cloud Storage, Docker, Terraform, Spark, Kubernetes, Parquet, Infrastructure as Code, Generative AI, Ai, Monitoring, observability
