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Bengaluru, India

Skills:

snowflake , bedrock , Python, S3, Postgres, Typescript, MySQL, RAG pipelines, Milvus, Vertex AI, LlamaIndex, Go, AWS SageMaker, Weaviate, LangChain, Redis Vector, Pinecone, FAISS, LLM orchestration, Iceberg

Early Applicant
Bengaluru, India

Skills:

AWS, Node.js, FastAPI, Python, Azure, Jira, Gcp, Multi-cloud AI platform architecture, AI Governance, Generative AI

Early Applicant
Bengaluru, India

Skills:

Ml, Java, C, Microservices, Kubernetes, Python, cloud-native systems, LLMs, Go, Ai, Tetragon, eBPF, Zero Trust

Early Applicant
Bengaluru, India

Skills:

Pytorch, Python, Git, Numpy, Version Control Systems, Pandas, OpenAI’s GPT models, machine learning frameworks, data processing libraries, Hugging Face, prompt engineering

Early Applicant
Bengaluru, India

Skills:

Sql, Java, Microservices, MLops, AWS, Kubernetes, Python, Nosql, Azure, Gcp, Docker, Apis, Go, Ai, vector databases, embeddings, event-driven architecture, ML frameworks, AutoGen, LangChain, CrewAI, retrieval systems

Early Applicant
Bengaluru, India

Skills:

Rtp, Microservices, Kafka, Asterisk, Node.js, Kubernetes, Python, Docker, vector DBs, LLMs, Redis Streams, message brokers, Go, ASR, CI CD, SIP, CPaaS, TTS, freeswitch, WebSockets

Early Applicant
Bengaluru, India

Skills:

Java, Ml, C, Microservices, Python, Kubernetes, cloud-native systems, LLMs, Go, Ai, Tetragon, eBPF, Zero Trust

Early Applicant
Bengaluru, India

Skills:

Java, Distributed Systems, Rest Apis, Python, microservices architecture, AI ML services, Azure Voice Live API, Azure Speech Services, Azure AI services, Azure OpenAI

Early Applicant
Bengaluru, India

Skills:

Software Development Lifecycle, Docker, Big Data, FastAPI, Restful Apis, Python, Kubernetes, NoSQL and document databases, CI/CD practices, Design and architecture of large distributed systems

Early Applicant
Bengaluru, India

Skills:

model selection , Distributed Systems, Cloud Infrastructure, rollback experimentation, automated regression frameworks, fallback strategies, unconstrained interaction models, offline test sets, live traffic sampling, real-time performance monitoring, caching strategies, model serving infrastructure, AI capability routing and orchestration, ML inference infrastructure, intent orchestration, model and prompt release gating, latency optimization, Speech Processing, evaluation and quality assurance infrastructure, observability tooling, rapid iteration and safe deployment, large-scale AI platform engineering, intelligent query classification

Early Applicant
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