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- ...Reporting and Documentation: Preparing detailed reports that document the findings, including identified vulnerabilities, attack vectors, and recommendations for remediation. These reports typically outline the risks associated with each vulnerability and provide guidance...
- ...engineering, model optimization) ○ Significant experience with Generative AI technologies (LLMs, prompt engineering, RAG, fine-tuning, vector databases) ○ Hands-on experience building agentic AI systems and multi-agent architectures ○ Strong programming skills in...
- ...including analyst or engineering roles. v In-depth knowledge of security concepts such as cyber-attacks and techniques, threat vectors and various types of security controls. v Knowledge of various operating systems including Windows, Linux and Mac. v Working...
- ...models. ~ Solid understanding of large language models (LLMs), including prompt engineering, fine-tuning, embedding generation, and vector search. ~ Expertise in machine learning models such as regression, classification, clustering, ensemble methods, sequence models,...
- ...or chained attack paths Strong understanding of attacker tradecraft, including web, cloud, identity, and infrastructure attack vectors Practical experience with adversary simulation and the MITRE ATT&CK framework Ability to lead, mentor, and influence (this is...
- ...Integrate Legacy & Modern Systems: Bridge modern GenAI components with existing enterprise workflows, ensuring data consistency across vector stores, graph databases, and traditional RDBMS. Technical Leadership & Mentorship: Lead hands-on deep dives and technical...
- ...and optimize end-to-end pipelines for generative AI projects, ensuring seamless data processing and model deployment. • Utilize vector databases, such as Redis, and NoSQL databases to efficiently handle large-scale generative AI datasets and outputs. •...
775000 $ per day
...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....- ...deliver secure, scalable, and value-aligned data products. Provide thought leadership on adopting advanced features like Mosaic AI, Vector Search, Model Serving, and Databricks Marketplace publishing. Working knowledge of dbt (Data Build Tool) is a plus. Strong...
- ...backend development (Python or Node.js) - Strong experience with JSON, REST, RPC, and XML - Exposure to AI frameworks (embeddings, vector stores, RAG patterns) - Solid knowledge of GCP: Kubernetes/GKE, Vertex AI, BigQuery - Deep understanding of API security,...
- ...Ability to thrive in fast-paced environments with evolving priorities and limited specifications Interest in learning about vector databases and orchestration tools Some experience building backend APIs and working with cloud services Ability to work cross...
- ...backend services, APIs, microservices, data pipelines, and AI model endpoints. You've built features powered by LLMs, semantic search, vector stores, embeddings, and RAG using frameworks like Java platforms (Spring Boot, Java EE, Spring Application Framework, Node.js),...
2160000 Php per year
...Al patterns, including LLM integrations, agent-based systems, retrieval-augmented generation (RAG), internal knowledge systems, and vector database strategies where appropriate • Establish governance frameworks that ensure secure, compliant, and responsible Al usage...- ...Information Security, Cybersecurity or related technical field of expertise. Strong understanding of vulnerabilities, common attack vectors and has attacker mindset: ability to think about creative threats and attack vectors. Certification a plus but not necessary, i....
- ...approved tools, frameworks, and methodologies. ● Help identify technical vulnerabilities, misconfigurations, and potential threat vectors in customer or internal environments. ● Collaborate with security architects, SOC, and other SMEs to validate findings. #...
- ...Numpy, Pandas. Familiarity with prompt engineering, instruction tuning, fine-tuning, and knowledge retrieval techniques (e.g., RAG, vector databases). Experience working with large-scale datasets, knowledge bases, or document corpora in enterprise settings. Strong...
- ...Principles and Frameworks. Knowledge of ‘cyber’ terminology and concepts Good understanding of cyber threat landscapes, attack vectors, and mitigation strategies. Ways of working Focusing on Clients and Customers. Working as One NCC. Always...
775000 $ per day
...Dashboards within Databricks to monitor KPIs, data pipeline health, and operational SLAs. Prepare GenAI-compatible datasets: manage vector embeddings, index with Databricks Vector Search, and use Feature Store with MLflow. Package and deploy pipelines using...- ...industry network. Maintain close ties with Risk/Fraud leads inside Manila institutions to capture early signals on regulations, fraud vectors, and tech constraints. Map stakeholder dynamics. Understand decision chains within PH banks/fintechs so you can unblock pilots,...
- ...LLM 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...
- ...of LLMs/multi‑modal FMs in large‑scale systems, fine‑tuning LLMs, deployment and distributed inference of LLMs, RAG, FM evaluation, vector DBs, Agentic workflows, prompt/context engineering, and MLOps. ~ Hands‑on experience with AWS ecosystems (including Bedrock,...
- ...Assurance: 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...
- ...AI patterns, including LLM integrations, agent-based systems, retrieval-augmented generation (RAG), internal knowledge systems, and vector database strategies where appropriate Establish governance frameworks that ensure secure, compliant, and responsible AI usage...
- ...travel for client and project engagements. Preferred Qualifications Experience with Generative AI data integration (e.g., vector databases, embeddings). Exposure to multi-country or cross-regional projects. Familiarity with other cloud platforms (Azure,...
- ...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 hypotheses...
- ...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....
- ...applications, including implementing Retrieval-Augmented Generation (RAG) approaches. Design and optimize data pipelines leveraging vector databases (e.g., Weaviate) to enable semantic search and advanced AI functionality. Qualifications Education...
- ...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...
- ...Anthropic, and Gemini. You leverage agent frameworks like LangChain, AutoGen, and CrewAI. You build RAG pipelines and work with vector databases. You integrate APIs and design webhooks effectively. You apply advanced prompt engineering techniques. You have...Remote job
- ...systems, not just features Familiarity with automation tools (Zapier, Make, GHL, etc.) Nice-to-Have Experience Vector databases (Pinecone, Weaviate, pgvector) Agent frameworks (LangChain, CrewAI, AutoGen) Data pipelines / ETL workflows...



