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- ...Job Title: Security Engineer Experience: 4–6 Years Location: Pakistan (Hybrid) Employment Type: Full-Time Job Summary We are seeking an experienced Security Engineer to design, implement, and maintain security controls across cloud and on-premises environments...
- ...points and verify IDs. Patrol areas to prevent theft or damage. Respond to emergencies and report incidents. Monitor CCTV and security equipment. Support junior security staff when needed. Follow all security rules and discipline. Prepare daily security...
- ...transformative solutions and creating significant impact. For our clients and strategic partners. Job Description: Aqovia is seeking a Security Officer to lead and enhance our Information Security Management System (ISMS) and strengthen our global security posture. This...
- ...Technical/Functional Expertise (Primary) GRC (Governance, Risk & Compliance), Information Security Policies, Risk Assessment, ISO 27001:2022 Controls, Security Documentation, Audit Support Technical/Functional Expertise (Secondary) SOC Monitoring, Security Event...
- ...Managed IT Services company (Managed Service Provider). Since 1997 we have specialized in providing managed IT services and managed security services for our clients. which are made up of small to medium-sized enterprises. We are looking for highly passionate individuals...
- ...Job Title: Cyber Security Specialist (SOC / Incident Response) Experience: 7–9 Years Location: Pakistan (Hybrid) (UAE Business Hours) Employment Type: Full-Time Job Summary We are seeking a Cyber Security Specialist to support day-to-day cybersecurity operations...
- ...Job Title: SDLC Security Operations Engineer (DevSecOps) Experience: 7–9 Years Location: Pakistan - Remote (UAE Business Hours) Employment Type: Full-Time Job Summary We are looking for a hands-on SDLC Security Operations Engineer to embed security controls...
- ...(FastAPI/Flask). Design and manage embedding pipelines and vector search systems. Integrate AI solutions with Azure services (... ...LLM-based applications. Ensure data quality, governance, and security in AI workflows. Collaborate with data engineering and platform...
- ...to AWS services. Key Responsibilities ~ Design and manage secure, scalable AWS cloud infrastructure ~ Implement DevOps and CI... ...with Retrieval-Augmented Generation (RAG) architectures: -Vector stores such as OpenSearch, FAISS, Pinecone, or Chroma -Integration...
- ...penetration testing . The ideal candidate should be able to identify security vulnerabilities, misconfigurations, and weaknesses across... ...protocols, authentication mechanisms, and common attack vectors Nice to Have Experience with Purple Team exercises...
- ...Defining what should be built vs what should not Designing a secure, scalable, cloud-native agentic architecture Producing... ...Amazon Bedrock Data Automation (BDA) # Knowledge grounding # Vectorization & retrieval # OpenAI models # Use-case based comparison...
- ...Address and solve typical enterprise GenAI challenges such as: Data security, governance, and privacy controls,Hallucination reduction and... ...~ Deep understanding of: Large language models, embeddings, vector search , ~ Deep understanding of: AG architectures and LLM...
- ...AFAC) that has uncovered more than $100M in ad fraud and national security threats, you'll have the autonomy to pursue groundbreaking... ...Augmented Generation) architectures: Design high-performance vector databases and hybrid search systems Implement advanced chunking...
- ...developing strategies for document ingestion, chunking, embedding, and vector search to ensure answers are accurate, contextual, and free... ...industries with a strong focus on compliance and data security . Success Profile In your first few months, you will have...
- ...to support GenAI use cases at scale Ensure enterprise-grade security, privacy, and compliance standards in deployments... ...OpenAI, Claude, Gemini, Mistral, or Llama2 ~ Embedding models, vector databases (FAISS, Pinecone, Weaviate, etc.) ~ Prompt engineering...
- ...experiments, research emerging AI techniques (LLMs, RAG, multimodal AI, vector search), and apply findings to real-world use cases.... ...systems. Ensure high standards of code quality, documentation, security, and compliance throughout the AI development lifecycle....
- ...models and inference trade-offs ~ Experience with embeddings, vector search, and RAG architectures ~ Experience with AWS, GCP, or... ...Implement monitoring, logging, and alerting for AI services Ensure security, data privacy, and compliance across AI pipelines Build...
- ...Responsibilities Design and implement advanced Retrieval-Augmented Generation (RAG) systems with sophisticated chunking strategies, multi-vector retrieval, and hybrid search architectures Develop and optimize conversational AI agents with complex multi-turn dialogue...
- ...AI. Work with LLM APIs and integrate them into production-grade applications. Build and manage embedding pipelines and vector search solutions . Apply machine learning principles for model evaluation, optimization, and performance improvement....
- ...solving and analytical skills Preferred Skills Experience with OpenAI APIs or similar LLM platforms Knowledge of LangChain, vector databases, and embeddings Experience with automation tools (Zapier, Make, etc.) Understanding of DevOps and model deployment (...
- ...Generative AI and Retrieval-Augmented Generation (RAG). The ideal candidate should have hands-on experience in LLMs, prompt engineering, vector databases, and AI-driven application development. Key Responsibilities: Familiarity with Graph Databases like Neo4j...
- ...architecture discussions , ensuring scalability, reliability, security, and performance . Deploy AI systems on cloud platforms (... ...Research emerging AI technologies such as LLMs, multimodal AI, and vector search , and evaluate their practical applicability. Mentor...
- ...pipelines for AI applications, ensuring scalability and performance. Implement Retrieval-Augmented Generation (RAG) systems using vector databases such as FAISS, Pinecone, or Weaviate. Work with transformer-based architectures (e.g., GPT, LLaMA, Mistral) and apply...
- ...training (e.g., LoRA, QLoRA). Can develop robust and scalable RAG pipelines. In-depth knowledge of embeddings and can work with vector databases like FAISS, Pinecone, Weaviate, etc. Construct and maintain Agentic AI workflows involving multi-step reasoning, tool...
- ...features in tree models). Strong database knowledge, including complex schemas, JSONB, partitioned tables, row-level security, query optimization, and vector extensions (e.g., pgvector). Familiarity with NoSQL databases like MongoDB and specialized databases such as...Remote job
- ...iterating on prompts tailored to retail use cases like summarization, Q&A, and content generation. Implement RAG Solutions: Use vector databases (e.g., Pinecone, FAISS) to enrich LLM interactions with relevant context through Retrieval-Augmented Generation...
- ...AI. Work with LLM APIs and integrate them into production-grade applications. Build and manage embedding pipelines and vector search solutions . Apply machine learning principles for model evaluation, optimization, and performance improvement....
- ...with experience in ML frameworks such as PyTorch or TensorFlow. ~ Hands-on experience with LLMs, embeddings, RAG pipelines, and vector databases (Pinecone, Weaviate, etc.). ~ Familiarity with MLOps, CI/CD pipelines, and cloud deployment (AWS, GCP, or Azure). ~ Experience...
- ...This role requires strong problem-solving skills, practical experience with modern AI frameworks, and the ability to integrate APIs, vector databases, and external tools to build scalable and reliable AI systems. QUALIFICATIONS, SKILLS, AND EXPERIENCE: ~3-4 years...
- ...capabilities on top of xquic content including voice interactions. - Optimize reasoning and retrieval pipelines using embeddings, vector databases, and prompt engineering. - Develop, train, and fine-tune ML models using frameworks like PyTorch, TensorFlow, or scikit...