14 of 14 Faiss Jobs

OpenAI, Anthropic, Google Gemini, and Mistral, including deployment through Azure OpenAI Service or Vertex AI. Implement RAG architectures and manage vector databases (Pinecone, Weaviate, FAISS, Milvus) to power enterprise knowledge intelligence platforms. Data Platform & Engineering Excellence Lead the evolution of the enterprise data landscape using modern platforms such as Databricks ...

orchestration AI/ML Engineering Python, PyTorch, TensorFlow, JAX NLP, deep learning, model optimisation Evaluation frameworks and guardrails Data & Platforms Vector databases (Pinecone, Weaviate, FAISS, Milvus) Knowledge graphs and semantic search Data engineering pipelines MLOps & Deployment CI/CD for ML, model monitoring, versioning Kubernetes, Docker, serverless architectures MLflow, Kubeflow ...

LLMOps pipelines, and AI observability. Experience in Enterprise-grade RAG-based solutions with LLMs (OpenAI, Hugging Face, LLaMA, etc.) and vector databases (Pinecone, Weaviate, FAISS, etc.). Ability to design enterprise-level AI/Gen AI platform/solutions with the client's existing enterprise stack. Hands-on mastery ...

experience with GenAI frameworks such as LangChain, LlamaIndex, AutoGen, CrewAI or LangGraph . Experience designing AI systems using vector databases (e.g. Pinecone, Weaviate, FAISS). Solid understanding of prompt engineering, model tuning, and AI evaluation methodologies . Experience building production-grade AI systems using Python and ML frameworks (PyTorch, TensorFlow ...

ready AI systems. Experience in designing and implementing enterprise-grade AI solutions, including RAG-based solutions with LLMs and vector databases (e.g., Pinecone, Weaviate, FAISS). Proven experience in full stack development and AI/ML system implementation within enterprise environments. Strong grasp of advanced techniques such as complex task ...

ready AI systems. Experience in designing and implementing enterprise-grade AI solutions, including RAG-based solutions with LLMs and vector databases (e.g., Pinecone, Weaviate, FAISS). Proven experience in full stack development and AI/ML system implementation within enterprise environments. Strong grasp of advanced techniques such as complex task ...

application integrations ; ensure scalability, security, and observability. Select and integrate LLMs (Azure OpenAI, Google, AWS) and design RAG pipelines with vector stores (e.g., Pinecone , FAISS , Azure Cognitive Search ) and prompt strategies; optimize for latency/cost/accuracy. Architect agentic AI components (multi-agent workflows, gateways, registries, protocol interoperability ...

GenAI frameworks such as LangChain, LlamaIndex and agent frameworks like AutoGen, CrewAI or LangGraph . Experience building RAG architectures with vector databases (Pinecone, Weaviate, FAISS). Strong understanding of MLOps/LLMOps (MLflow, Kubeflow, Docker, Kubernetes). Experience deploying AI solutions on AWS, Azure or GCP . Solid software engineering ...

model monitoring practices Proven track record of delivering large-scale enterprise AI platforms Desirable Skills Experience working with vector databases such as Pinecone or FAISS Knowledge of AI governance frameworks, compliance standards, and security architecture Relevant certifications in Azure AI, AWS ML, or Kubernetes This opportunity is well suited ...

Strong knowledge of Python, MLOps, LLMOps, CI/CD, model monitoring Experience delivering enterprise AI solutions at scale Desirable Experience with vector databases (Pinecone, FAISS) AI governance, compliance and security architecture Azure AI/AWS ML/Kubernetes certifications This role suits a technically hands-on architect who has delivered ...

/LLMOps and AI observability Hands-on experience building enterprise RAG solutions using LLMs (e.g. OpenAI, Llama, Mistral, Claude) and vector databases (Pinecone, Weaviate, FAISS, etc.) Practical experience with GenAI frameworks such as LangChain, LlamaIndex, and agentic frameworks like AutoGen, CrewAI, LangGraph Strong Python expertise with AI/ML frameworks ...

with monitoring and observability tools (CloudWatch, Prometheus, Grafana, Datadog, Sentry, New Relic) • Experience with database administration and optimization across SQL, NoSQL, vector databases (Pinecone, FAISS), and graph databases (Neo4j) • Knowledge of networking, security best practices, IAM configuration, and secrets management • Experience supporting data pipelines, ETL workflows, and cloud data platforms ...

skills You have experience with LLM orchestration frameworks: LangChain, LangGraph, CrewAi, AgnosAI You have experience with vector databases: Pinecone, Weaviate and retrieval optimisation: OpenSearch, FAISS, Chroma You have LLM evaluation experience: DeepEval, Langfuse (or similar) You have a strong understanding of responsible AI, i.e. bias detection, model transparency ...

optimal performance from LLMs for summarization, reasoning, extraction, and classification tasks. Hands-on experience in designing intelligent retrieval pipelines that combine vector databases like FAISS with semantic search mechanisms. Should have Developed intelligent agents capable of reasoning, planning, and tool use by leveraging frameworks such as ReAct, LangChain/Langgraph. ...