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- ...client-provided or internally produced assets. Sourcing post-processing or editing of client-provided or internally produced vector stock photo and font assets. Conversion of digital materials to video formats with minimal animation. Optimization and conversion...
- ...Nice-to-Haves Python: Highly valued for AI-related tasks and data processing. Databases: PostgreSQL, SQLite, MongoDB, or Vector DBs (Pinecone, etc.). Platforms: Understanding of GoHighLevel (GHL) . Industry Context: Background working with professional...
- ...achieving the overall brief by which are not limited to the following: Minor styling and product photography Sourcing of vector stock photo and font assets Post-processing of client given and shot assets CREATIVE THINKING AND VISUALIZATION Provide...
- ...Semantic Systems Develop advanced search algorithms combining lexical and semantic methodologies Implement RRF techniques and vector-based semantic search using modern embedding techniques Design scalable search architectures for complex query processing...
- ...including Neural Networks, Gradient Boosting, Linear & Logistic Regression, Decision Trees, Random Forests, Markov Chains, Support Vector Machines, Clustering, Principal Component Analysis, and Factor Analysis to derive actionable insights. Develop and implement predictive...
- ...This enables them to develop effective mitigation strategies. Hypothesis Driven: Utilizing their expertise and knowledge of attack vectors, they formulate hypotheses about potential threats and then systematically gather and analyze evidence to confirm or refute those...
- ...applications Integrate, optimize, and evaluate LLMs working with retrieval‑augmented generation (RAG), Agentic AI, embeddings, vector databases and prompt management tools Lead model selection, fine-tuning, and deployment strategies for financial use cases Build...
- ...Developing integrations with Slack, HubSpot, Salesforce, and other GTM tools Shipping AI-powered features using LLMs, embeddings, and vector search Creating onboarding flows, dashboards, and seller-facing workflows Maintaining reliable APIs, webhooks, and database...
- ...ETL/data pipelines Develop APIs using FastAPI or Django Integrate LLMs (e.g., OpenAI or similar) into applications Create vector search and RAG-based solutions Deploy and manage containerized applications in the cloud Implement data validation, monitoring...
- ...hiring an AI Developer to help us build and scale production-grade AI agents . This role focuses on agentic systems that use RAG, vector databases, and structured tool use to deliver reliable outcomes. You’ll work end-to-end—from architecture to deployment—on AI...
- ...deployment. AI integration into enterprise applications. Prompt management tools (Langfuse) Knowledge of graph databases, vector databases, embeddings, and retrieval-augmented generation (RAG). Experience in cloud platforms (AWS, Azure, GCP). Knowledge of...
- ...not limited to print, social media, e-commerce, digital, html file preparation and/or video. Manipulate photography and create vector graphics. Meet project deadlines and requirements. Utilize project management tools and assist with administrative tasks to support...
- ...for enterprise reuse across teams. Integrate LLMs (e.g. ChatGPT Claude) with Azure services (Azure OpenAI Azure AI Search/Vector Functions Logic Apps) and Microsoft 365/Copilot Studio. Use n8n (and/or Power Automate) for orchestration eventing and...
- ...manage integrations with leading LLM APIs (e.g., OpenAI, Anthropic, Gemini), optimizing performance through fine-tuning, prompt design, vector databases, and tool use. ● Tooling & MLOps (LLMOps): Implement robust MLOps pipelines—CI/CD, monitoring, version control...
- ...foundational internet and cloud technologies (e.g., AWS, Azure, GCP, etc.) Familiarity with AI concepts, such as LLMs, embeddings, vector databases, prompt engineering, etc. Strong familiarity with Authentication concepts and techniques (e.g., SAML, OAuth, etc.)...
- ...REST, RPC, and XML. ~ Hands-on exposure to AI application patterns, including function calling and RAG (prompt design, embeddings, vector stores). ~ Practical experience with GCP services: GKE (containerization & Kubernetes), Vertex AI (model deployment/inference),...
- ...Technologies: JSON, YAML, XML, XSLT, REST APIs, Kubernetes, Docker ~ Databases/Search Engine: Elasticsearch/OpenSearch, Azure AI Search, Vector DBs and Graph DBs ~ Security Protocols/Standards: Kerberos, LDAP, OAuth, SSH ~ Cloud Environments: AWS, GCP, Azure ~ LLMs:...
- ...model performance, resource utilization, and SLA compliance. Actively research and recommend emerging tools in AI infrastructure, vector databases, and model serving. Document and enforce processes for model lifecycle management, from training to retirement....
- ...lineage of curated enterprise data products. Drive innovation by identifying, prototyping, and scaling emerging technologies such as vector databases and Agentic AI to enhance efficiency and maturity. Support enterprise initiatives by contributing to strategic...
- ...Design RESTful APIs and microservices for seamless integration. Implement Retrieval-Augmented Generation (RAG) pipelines and manage vector databases. Work in an Agile (Scrum) development environment. Refactor and optimize code, create and maintain documentation....Remote job
- ...needed Certifications ~ AI related certifications such as Azure AI Engineer, AWS Machine Learning or equivalent is a plus Preferred qualifications Familiar with the Telecom or Service Provider industry Experience with vector databases and AI agents...
- ...groups, etc Maintaining monitoring coverage maps for business applications and services with consideration to threat models, attack vectors, and MITRE coverage Experience: ~ At least 3-5 years in Cyber Security Operations or related function as threat/...
- ...you'll do : Implement AI applications with large language models & APIs; Build enterprise knowledge bases with embeddings & vector retrieval; Work with vector databases like Milvus, Qdrant, or FAISS; Develop scripts, DAGs, and plugins to power AI pipelines...
- ...dynamic materials that would make use of knowledge on design fundamentals (balance, typography, colors, creativity), technical skills (vector illustration, image manipulation, video editing, etc), and knowledge on varied and emerging digital platforms (Tiktok, IG, etc)...
- ...applications. Engineering end-to-end RAG pipelines and multi-agent workflows using LangChain, AutoGen, Copilot, MCP. Integrating vector DBs (PostreSQL, Pinecone, Weaviate, Chroma, FAISS, Redis) and graph DBs (Neo4j, Postgres/pgvector) for semantic retrieval and...
Emerson
Mandaluyong28 days ago - ...: Implement LLM evaluations, automated regression testing, benchmarking, and quality scoring systems Data Management: Work with vector databases (Pinecone, Qdrant, Weaviate) and develop retrieval pipelines Observability: Build comprehensive observability integrations...
- ...LlamaIndex) and AI agents Experience implementing RAG (Retrieval Augmented Generation) solutions Experience in working with Vector databases (Pinecone Weaviate or ChromaDB) Experience building and deploying ML models using PyTorch or TensorFlow Experience with...
- ...Knowledge or hands-on experience with RAG (Retrieval-Augmented Generation) frameworks or AI integration (e.g., LangChain, OpenAI API, vector databases). Familiarity with cloud infrastructure and DevOps tools (Docker, Kubernetes, AWS, GCP, or Azure). Experience with...
- ...automation or content generation at scale AI sales agents / outbound automation CRM automation (Zoho, HubSpot, GoHighLevel) Vector databases / RAG systems Basic scripting (JS or Python) Experience in finance, property, or lead-gen businesses...
- ...chaining, and autonomous agent design. Excellent analytical, problem-solving, and collaboration skills. Preferred Skills Experience with vector search, memory stores, and tool integration for agents. Familiarity with Microsoft Copilot extensibility and plugin development....
Accenture
Taguigmore than 2 months ago
