Graphic Designer (Full-Time) Experience: 3+ Years Location: Remote Employment Type: Full-time Salary: Up to 30k/Month Who We Are Hey there! We’re Peak Trust , a Dubai-based tech real estate startup on a mission to shake things up in the property world. Think real estate meets innovation, with a big splash of creativity. 🚀 We’re growing fast, and we’re on the hunt for a Graphic Designer who gets Dubai’s real estate scene, loves bringing ideas to life, and also knows their way around Canva, Adobe, Figma and more . What You’ll Be Doing Designing eye-catching visuals for our social media, website, campaigns, and marketing stuff. Creating brand-consistent designs that make Peak Trust stand out. Working hand-in-hand with our marketing & product teams to bring fresh ideas to the table. Turning property data, listings, and trends into scroll-stopping visuals. Keeping our design systems in Figma neat, tidy, and ready to go. Staying up-to-date with the latest design trends (especially in real estate & startups). What We’re Looking For Solid design experience in Dubai’s real estate industry (show us your portfolio!). Mastery of Graphic tools like Canva, Adobe, Figma, and more. (non-negotiable 💻). Bonus points for Adobe Creative Suite skills. A creative thinker with an eye for detail. Comfortable juggling multiple projects and meeting deadlines. Great communicator who loves working remotely with a team. Perks of Working With Us ✨ 100% Remote – work from wherever you’re happiest. 🗓️ Monday to Friday – your weekends are all yours. ⏰ Flexible hours – we care about results, not clocking in. 🚀 Be part of an early-stage, growing startup – your work will actually make an impact.
Location: Remote Type: Full-time Experience : 3+ Years Salary: up to 60K/Month Role Summary We are looking for a hands-on AI Data Engineer who can independently manage end-to-end data workflows, including data collection, document processing, dataset preparation, retrieval pipelines, model fine-tuning, and data visualization. This role requires strong technical skills across Python, automation, ML tooling, and analytical reporting. Key Responsibilities (Technical) 1. Data Acquisition & Automation Build automated data collection workflows using tools such as Firecrawl , Playwright , Scrapy , or similar frameworks Extract multi-format documents (PDFs, HTML, text, images) Handle large-scale crawling, rate limits, error handling, and scheduling 2. Document Processing & Transformation Clean and process unstructured documents Apply OCR (Tesseract, PaddleOCR) for scanned files Convert and structure data using PyPDF2 , pymupdf , BeautifulSoup , etc. Prepare data in formats such as JSON, JSONL, or CSV 3. Dataset Preparation Segment and structure text for ML training Create Q&A datasets, summaries, instruction-response pairs, and labeled text Build high-quality datasets compatible with fine-tuning frameworks 4. Retrieval & Indexing Pipelines Implement document chunking strategies Generate embeddings and manage vector databases ( Qdrant , Pinecone , Weaviate ) Build retrieval workflows using LangChain or LlamaIndex Optimize retrieval accuracy and latency 5. Model Training & Fine-Tuning Run fine-tuning jobs using HuggingFace Transformers , LoRA/QLoRA , or similar methods Monitor training performance and refine datasets Package and deploy fine-tuned models 6. Data Visualization & Analytics Create analytical charts, trends, and insights using: Pandas Matplotlib Seaborn Plotly Build simple internal dashboards or visual summaries for reports Transform raw datasets into meaningful visual insights 7. Automation & Infrastructure Write modular, maintainable Python scripts Containerize workflows with Docker Maintain version control with Git Ensure reproducibility and pipeline stability Required Technical Skills Strong proficiency in Python Experience with Firecrawl , Playwright, Scrapy, or similar tools Strong background in document parsing , text processing, and OCR Familiarity with LangChain or LlamaIndex Experience with vector databases Hands-on experience with HuggingFace , Transformer models, and fine-tuning Ability to write clean, efficient data pipelines Experience with Matplotlib , Seaborn , Plotly , or other visualization tools Comfort using Docker and Git Nice to Have Experience serving models or building small APIs (FastAPI) Exposure to GPU training environments Background in large-scale unstructured data work Ability to create lightweight dashboards (Plotly Dash, Streamlit) Ideal Candidate Comfortable owning full pipelines independently Detail-oriented and analytical Strong problem-solving ability Can work with minimal supervision Enjoys building structured systems from scratch