Scanning and Filing Clerk

We are hiring a Data Entry worker to help with typing and entering information into the computer. No advanced experience needed. Basic computer skills are enough. Job Duties: Type and enter data into the system Check and update records Keep files organized Help with simple office tasks Requirements: Basic computer and typing skills Attention to detail Can follow instructions Responsible and organized How to Apply: Interested applicants, please send your CV by WhatsApp to: +971 525836622

We are hiring on behalf of our client – a newly launched family office – who is seeking an AI Data Engineer with strong AI integration expertise to help operationalize their financial models and data infrastructure. This role focuses on implementing and connecting existing tools—not building models or infrastructure from scratch. You will play a key role in automating workflows, managing data systems, and enabling real-time data access to improve decision-making processes. Key Responsibilities: Upgrade and manage enterprise API accounts across LLM providers (e.g., OpenAI, DeepSeek), with a focus on optimizing usage and cost. Automate orchestration of financial models using existing frameworks and tools (e.g., LangChain, Zapier). Migrate model documentation and data storage from mobile devices to cloud databases with version control. Build workflows to automatically combine multiple financial models (e.g., volatility, fundamental analysis) based on asset types and use cases. Integrate real-time financial data via Retrieval-Augmented Generation (RAG) systems to ensure model accuracy and relevance. Qualifications: Proven experience in data engineering and integrating AI/LLM tools into operational systems. Strong knowledge of API management, automation tools, and cloud infrastructure. Familiarity with LangChain, vector databases, and orchestration platforms is highly desirable. Previous experience working with financial data or supporting quant teams is a strong advantage. Excellent problem-solving skills and a proactive, self-starting attitude.

Job Responsibilities: Lay bricks, blocks, and stones to construct or repair walls, floors, and structures. Mix and apply mortar, cement, plaster, or concrete. Interpret construction drawings and measurements. Ensure accuracy, durability, and finish of masonry work. Maintain tools and follow safety procedures on site. -Minimum 2 years experience needed -Indian/ Nepali nationalities Accommodation, medical, Visa provided by company Duty: 9 Hours/ Day, 6 days/ week To apply: Send your CV to: graceshi@ok.com, and please mention reference as Emirates Career

Job description: - Controlling company and project documentation - Following and improving document control procedures - Ensuring all documentation meets formal requirements and required standards - Sorting, storing and retrieving electronic and hard copy documents on behalf of employees, clients etc.. - Producing and email documents to the clients - Producing document progress reports for senior managers - Conducting regular reviews and document audits - Using computers to organise and distribute documents within a company - Helping in the planning stages of a specific project - Ensure documents are shared at key times to facilitate timely project completion - Experience in Microsoft Office - Should have experience in Construction company - Must have 3 years of experience in overall

Machine Learning Operations (ML/Ops) Engineer - Team Lead Location / Work Setup: Remote About Us: We are a dynamic and innovative team currently engaged in an exciting Request for Quote (RFQ) process for a client based in Hong Kong. We are on the lookout for a skilled Machine Learning Operations Engineer, particularly someone experienced in deploying Machine Learning models into pipelines. This is a fantastic opportunity to be part of a high-impact project where your contributions will shape the future capabilities of our client's ML infrastructure. Key Responsibilities: Lead a team of ML/Ops engineers in deploying and managing Machine Learning models. Build and enhance capabilities to seamlessly integrate ML models into existing pipelines. Collaborate with cross-functional teams to understand project requirements and ensure successful deployment. Provide ongoing support to accommodate surges in requirements, focusing on scalability and efficiency. Utilize Python for scripting and automation tasks. Work with Cloud platforms, particularly Azure and GCP to optimize machine learning workflows. Requirements For Team Lead Position: At least 3 years of experience in ML/Ops or a related field. Proven leadership skills with the ability to guide and inspire a team. Excellent communication skills to effectively liaise with clients and internal teams. For ML/Ops Engineer Position: Strong experience in deploying Machine Learning models. Proficiency in Python for scripting and automation. Hands-on experience with Cloud platforms, particularly Azure and GCP. Prior experience in addressing scalability and pricing concerns in ML operations. How to Apply: If you are a passionate ML/Ops professional ready to take on a leadership role or contribute your expertise to a cutting-edge project, we want to hear from you. Please submit your resume, highlighting your relevant experience, and a cover letter detailing your approach to scalability and pricing in ML operations. Note: This is a unique opportunity to make a significant impact on a client's ML capabilities, and we are excited to welcome individuals who share our enthusiasm for innovation and excellence.

Job Responsibilities: Build and dismantle formwork (shuttering) for concrete casting. Measure, cut, and assemble wood or metal formwork according to plans. Ensure formwork is level, aligned, and structurally safe. Repair and maintain shuttering materials for reuse. Work closely with masons and steel fixers during construction. -Minimum 2 years experience needed -Indian/ Nepali nationalities Accommodation, medical, Visa provided by company Duty: 9 Hours/ Day, 6 days/ week To apply: Send your CV to: graceshi@ok.com, and please mention reference as Emirates Career