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Showing 8 jobs
Skills:
Jax, Apis, Operating Systems, Sql, Nosql, Pytorch, Docker, Distributed Systems, System Architecture, Debugging, Python, Kubernetes, LLMs, RAG systems, Anthropic, cloud-native technologies, Open-Source LLMs, machine learning applications, AI agents, GPU Infrastructure, OpenAI
Skills:
Apache Spark, Python, Sql, AI data architectures, enterprise data architecture, Production Operations, Access Control, semantic search frameworks
Skills:
Software Delivery, Devops, Gcp, Azure, AWS, AgentOps, agentic AI systems, Production Operations, knowledge layer evaluation, LLM-based applications, trust and safety, MCP tools, cloud-native development
Skills:
Ml, Software Engineering, MLops, Distributed Systems, Apis, automated deployment pipelines, LLMs, cloud-based applications, applied AI, retrieval-augmented generation, developer tools, model integrations, backend services, LLMOps, platform engineering, CI CD, agentic systems, context pipelines
Skills:
data engineering , Software Engineering, fine-tuning, distributed AI workloads, LLMOps, applied AI ML skills, AI infrastructure and runtime technologies, AI solution architectures, NVIDIA GPUs, context engineering, Cloudera platform, agentic workflows, MLOps practices, inference optimization, foundation models, full-stack ML applications, semantic search, model serving
Skills:
Machine Learning, Gcp, MLops, Terraform, Azure, AWS, automated agent evaluation, Business Intelligence systems, Opik, Generative AI, LLMOps, production-ready orchestration, LangSmith, Agentic AI, advanced vector search strategies, coding agents, Langfuse, scalable agentic systems, infrastructure as code
Skills:
bedrock , ECS, S3, Lambda, Api Gateway, Python, Redshift, RAG pipelines, EKS, Athena, Data warehousing solutions, knowledge retrieval, AWS data and AI technologies, GenAI applications, SageMaker, Step Functions, Data lakes and pipelines, Glue, Aurora, Vector search, LLM-based solutions, Machine learning models
Skills:
Unix, Hadoop, Pyspark, Apache Spark, Sql, ELT, Big Data Technologies, Git, Linux, Data Lake, Python, Etl, Enterprise Data Warehouse, Lakehouse architecture
