ai engineer

data analyst

data engineer .

senior bi developer

data engineer

Alpha Beta Partners Ltd (UK based company)

Introduction to CompanyEstablished in 1989, Metropolitan Warehouse &amp; Delivery (MWD) is a leading provider of premier White Glove furniture delivery services in the USA. With operations in 44 cities across the USA and a dedicated team of over 1,200 professionals, MWD specializes in ECommerce furniture delivery, warehousing, and comprehensive white-glove delivery solutions.Job Specifications<ul><li>Time: 5:00 PM &ndash; 2:00</li><li>Location: Plaza 145, Civic Center, Phase IV, Bharia Town, Rawalpindi</li><li>Job Type: Onsite - Full Time</li><li>Education: Bachelor&rsquo;s,CS, IT, DE</li><li>Experience: 1-3 Years + in Data Engineering</li><li>Skill Set: SQL, Azure, ELT, Rest API, Python, C Language</li></ul>Job SummaryWe are looking for a Data Engineer with 1 to 3 years of experience to help build, manage, and maintain data pipelines and data lake solutions. The role involves working with SQL Server, Azure or similar cloud platforms, and integrating data from multiple sources such as databases and APIs. The ideal candidate should have strong SQL skills, a basic understanding of cloud data platforms, and a willingness to learn and grow in data engineeringKey Responsibilities<ul><li>Assist in setting up and maintaining Data Lakes on Azure or other cloud/on-prem servers</li><li>Develop and support data pipelines to sync data between SQL Server databases</li><li>Ingest data from multiple sources including:</li><li>SQL databases</li><li>APIs</li><li>Flat files (CSV, JSON, etc.)</li><li>Write, modify, and optimize SQL queries, views, and stored procedures</li><li>Perform basic query optimization to improve performance</li><li>Monitor data pipelines and resolve failures or data issues</li><li>Ensure data accuracy, consistency, and completeness</li><li>Work closely with developers, analysts, and business teams to understand data requirements</li><li>Document data flows, pipelines, and table structures</li></ul>Required Skills &amp; Qualifications<ul><li>1&ndash;3 years of experience in Data Engineering, Data Integration, or related roles</li><li>Strong knowledge of SQL Server and SQL querying</li><li>Basic experience with Azure Data Lake, Azure Data Factory, or similar tools</li><li>Understanding of ETL/ELT concepts</li><li>Experience syncing data between databases</li><li>Familiarity with REST APIs and data ingestion</li><li>Basic scripting knowledge in Python or C#</li><li>Understanding of cloud or server-based environments</li></ul>Additional Skills (Good to Have)<ul><li>Basic knowledge of data modeling (tables, relationships, fact/dimension concepts)</li><li>Experience with file formats like CSV, JSON, or Parquet</li><li>Familiarity with Git or version control systems</li><li>Awareness of data security and access control</li><li>Exposure to scheduling and automation tools</li><li>Understanding of logging and monitoring concepts</li></ul>Soft Skills<ul><li>Good problem-solving and analytical skills</li><li>Ability to learn new tools and technologies</li><li>Clear communication and documentation skills</li><li>Ability to work independently as well as in a team</li><li>Attention to detail and data accuracy</li></ul>Employee Benifits<ul><li>Market Competetive Salaries</li><li>Promotions &amp; Yearly increments (Based on Performance)</li><li>EOBI &amp; Gratuity</li><li>2 Yearly Bonuses</li><li>Medical Insurance (Employee, Spouce &amp; Children)</li><li>Life Insurance</li><li>Employee Health Care Program (Gym, Kitchen/Mess Services, Inhouse doctor)</li><li>Employee Social Activity Program (Tours, Office Celebrations, Team collaboration)</li></ul>Job Types: Full-time, ContractWork Location: In person

Data Engineer .

Introduction to Company Established in 1989, Metropolitan Warehouse &amp; Delivery (MWD) is a leading provider of premier White Glove furniture delivery services in the USA. With operations in more than 40 cities and a dedicated team of over 1,200 professionals, MWD specializes in eCommerce furniture delivery, warehousing, and comprehensive white-glove logistics solutions. The company manages thousands of deliveries daily through its nationwide hub network and leverages modern data infrastructure to support operational efficiency and business intelligence.Job Specifications<ul><li>Time: 5:00 PM &ndash; 2:00 AM (Night Shift)</li><li>Location: Plaza 145, Civic Center, Phase IV, Bahria Town, Rawalpindi</li><li>Job Type: Onsite &ndash; Full Time</li><li>Education: Bachelor&rsquo;s in Computer Science, Information Systems, Data Science, or related field</li><li>Experience: 2 &ndash; 5 Years in Business Intelligence / Data Engineering</li><li>Skill Set: PostgreSQL, Power BI, Python, dbt, Grafana, SQL, Linux Administration</li></ul>Job Description<ul><li>Design and maintain Bronze, Silver, and Gold layers of a Medallion Architecture using PostgreSQL.</li><li>Build and manage dbt Core transformation models with proper testing, documentation, and incremental strategies.</li><li>Optimize PostgreSQL schemas, indexes, and materialized views for analytical workloads.</li><li>Develop automated Python pipelines to ingest data from databases, APIs, Excel/CSV files, and email sources.</li><li>Use Python libraries such as pandas, SQLAlchemy, psycopg2, watchdog, and imaplib for ingestion and processing.</li><li>Maintain and enhance Power BI semantic models including DAX calculations, relationships, RLS, and drill-through reporting.</li><li>Build and manage Grafana dashboards to monitor operational metrics such as delivery SLAs, hub performance, and logistics KPIs.</li><li>Administer Ubuntu Linux servers including Docker Compose deployments, service monitoring, and scheduling tasks with cron.</li><li>Collaborate with Operations and Finance teams to translate business requirements into scalable data solutions.</li><li>Maintain proper documentation for pipelines, dbt models, and data sources.</li></ul>Preferred Certifications<ul><li>Microsoft Certified: Power BI Data Analyst Associate (PL-300)</li><li>dbt Certified Developer</li><li>PostgreSQL Professional Certification (PGCP)</li><li>Linux Foundation Certified System Administrator (LFCS)</li><li>Microsoft Azure Data Fundamentals (DP-900)</li></ul>Employee Benefits<ul><li>Market Competitive Salaries</li><li>Promotions &amp; Yearly Increments (Based on Performance)</li><li>EOBI &amp; Gratuity</li><li>Two Annual Bonuses</li><li>Medical Insurance (Employee, Spouse &amp; Children)</li><li>Life Insurance</li><li>Employee Health Care Program (Gym, Kitchen/Mess Services, In-House Doctor)</li><li>Employee Social Activity Program (Tours, Office Celebrations, Team Collaboration)</li></ul>Job Type: Full-timeEducation:<ul><li>Bachelor's (Required)</li></ul>License/Certification:<ul><li>Power BI experience or certification (Preferred)</li></ul>Location:<ul><li>Rawalpindi (Preferred)</li></ul>Work Location: In person

Senior BI Developer

Value Engineering

Role OverviewReporting to AI Lead / Solution Architect, this is a senior technical leadership role responsible for:&middot; Designing and deploying state-of-the-art LLMs and multi-modal AI models.&middot; Implementing agentic AI systems with RAG, self-RAG, and memory-optimized architectures.&middot; Leading cloud-based GPU LLM training pipelines, including data labeling, preprocessing, model training, and post-processing.&middot; Extending AI models into front-end applications and back-end pipelines.&middot; Managing staging, development, and production environments with SSH deployment and editing.Driving complex problem-solving, critical thinking, and innovative AI solutionsKey Responsibilities1. LLM Cloud Training &amp; Pipelines (Mandatory)&middot; Design and deploy LLM training pipelines on cloud GPU infrastructure.&middot; Manage data labeling, preprocessing, and post-processing for training datasets.&middot; Optimize model training, memory usage, and inference efficiency.&middot; Implement RAG-based pipelines, agentic RAG, and self-RAG for knowledge augmentation.2. Deep Learning &amp; Model Development&middot; Research, design, and implement Transformers, Vision Transformers, Diffusion Models.&middot; Optimize SAM models for tabular and image data, including preprocessing and post-processing.&middot; Implement multi-modal AI pipelines (text, image, video).&middot; Develop agentic AI models with adaptive memory and reasoning.3. Agentic AI &amp; Orchestration&middot; Design agent frameworks with orchestration, inter-agent communication, and protocol management.&middot; Integrate LangChain, LangGraph, or custom agent pipelines.&middot; Ensure AI agents are robust, scalable, and production-ready.4. Machine Learning for Real-World Data&middot; Implement ML models for tabular, image, and multi-modal data.&middot; Preprocess, normalize, and feature-engineer datasets for SAM and other model types.&middot; Translate research models into production pipelines with RAG augmentation.5. Front-End &amp; Back-End AI Integration&middot; Extend AI models into front-end applications (interactive AI features).&middot; Integrate AI models into back-end services for low-latency inference.&middot; Ensure seamless integration between AI models and application architecture.6. Production AI Infrastructure &amp; Deployment&middot; Deploy AI models on MCP / GPU servers, distributed clusters, or cloud infrastructure.&middot; Manage staging, dev, and production environments, including SSH deployment, editing, and version control.&middot; Implement monitoring and observability using Prometheus, Grafana, and custom dashboards.&middot; Maintain CI/CD for AI models, training pipelines, and data workflows, including Git/GitHub workflow management.7. Research to Production Translation&middot; Bring experimental AI models into production-grade systems.&middot; Validate model performance, reliability, and safety.&middot; Implement reproducibility, versioning, and automated retraining pipelines.8. Mentorship &amp; Leadership&middot; Mentor junior AI engineers and researchers.&middot; Establish best practices for AI experimentation, deployment, and RAG/agentic architectures.&middot; Contribute to AI roadmap and enterprise AI strategy.Required Experience&middot; 5+ years AI / Deep Learning / Research &amp; Production experience.&middot; Mandatory: Hands-on experience in LLM training pipelines, including cloud GPU infrastructure, data labeling, preprocessing, training, and post-processing.&middot; Deep knowledge of Neural Networks, Transformers, LLMs, Vision Transformers, Diffusion Models, Agentic AI, RAG/self-RAG pipelines.&middot; Hands-on experience with SAM models, tabular data ML, and preprocessing pipelines.&middot; Experience managing staging, dev, and production environments with SSH deployment, editing, and Git/GitHub workflow.&middot; Strong Computer Vision and Image Processing skills.&middot; Experience with agent orchestration, LangChain, LangGraph, and protocol optimization.&middot; Proven problem-solving, critical thinking, and innovative AI solution delivery.&middot; Experience integrating AI into front-end and back-end systems.Preferred Experience&middot; Experience with generative AI, diffusion models, multi-modal agents.&middot; Optimizing LLM memory, inference, and fine-tuning at scale.&middot; Experience in production RAG pipelines and knowledge-augmented AI systems.Application Question(s):<ul><li>Are you available to work from 2:00 PM &ndash; 11:00 PM shift Monday to Friday with alternate Saturday?</li></ul><ul><li>Are you comfortable working onsite from Bahria Phase 4, Rawalpindi?</li></ul><ul><li>How many years of experience do you have as a AI Engineer??</li></ul>Work Location: In person

AI Engineer

One Network

AI Engineer to lead the development of intelligent AI solutions, including chatbots, resume parsers, document automation tools, and conversational AI systems. You will own the end-to-end AI pipeline&mdash;from research and prototyping to deployment and optimization&mdash;delivering scalable, production-ready AI applications that improve efficiency and user experience..Duties &amp; Responsibilities<ul><li>Design and develop AI-powered chatbots and virtual assistants for customer support, internal workflows, and conversational interfaces.</li><li>Build intelligent document processing systems, including resume/CV parsers, contract analyzers, and automated data extraction pipelines.</li><li>Develop LLM-based agents for question-answering, compliance validation, sentiment analysis, and content summarization.</li><li>Create and optimize RAG (Retrieval-Augmented Generation) systems for accurate, context-aware information retrieval and generation.</li><li>Fine-tune and deploy open-source and proprietary LLMs (e.g., Llama, Mistral) for domain-specific applications.</li><li>Implement end-to-end AI solutions using Python and frameworks like PyTorch, TensorFlow, or equivalent.</li><li>Apply Computer Vision tools (YOLO, OpenCV) for document layout analysis and image-based data extraction.</li><li>Collaborate with cross-functional teams to integrate AI solutions into production systems.</li><li>Continuously research and adopt emerging AI technologies to enhance system capabilities.</li></ul>QualificationsBachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Artificial Intelligence, Data Science, or related field.Required Skills<ul><li>3&ndash;5 years of hands-on experience in AI/ML development, preferably in NLP, document automation, or conversational AI.</li><li>Strong proficiency in Python and AI/ML frameworks (PyTorch, TensorFlow, HuggingFace).</li><li>Experience with resume parsing, document automation, or information extraction systems.</li><li>Familiarity with LLM architectures, fine-tuning, and deployment.</li><li>Knowledge of Computer Vision techniques and tools for document or image processing.</li><li>Excellent problem-solving skills and ability to deliver production-ready AI applications.</li><li>Strong communication skills and ability to work collaboratively in a fast-paced environment.</li></ul>Job Type: Full-timePay: Rs130,000.00 - Rs160,000.00 per monthWork Location: In person

AI Lead Engineer

1 Stop Technologies

Urgent Hiring Alert !Open positions :1.Sturcture Design engineer for civil2.Electrical Engineer3.Mechanical EngineerRequired Skills- Proficiency in ETABS and SAP (Structural Software)- Complete knowledge of electrical design tools and software'sQualification- Bachelor&rsquo;s in Degree in civil/Electrical/MechenicalWorking hours 10am-8pm 7pm-4pmLocation : Bahria town phase 8 RawalpindiJob Type: Full-timePay: Rs80,000.00 - Rs100,000.00 per monthApplication Question(s):<ul><li>Do you have experience in US based company ?</li></ul>Work Location: In person

Structural Designer

Value Engineering is seeking a motivated and detail-oriented Graduate Civil Engineer to join our team. This position is well-suited for fresh Civil Engineering graduates who are eager to gain practical, hands-on experience in project planning, scheduling, cost estimation, and technical documentation within a professional engineering environment.Key Responsibilities<ul><li>Assist in developing project plans, schedules, and timelines using planning tools.</li><li>Support the preparation of cost estimates, BOQs, and quantity take-offs.</li><li>Monitor project progress and update schedules as required.</li><li>Assist with material, labour, and cost analysis for current and upcoming projects.</li><li>Maintain and organize planning and estimation documents.</li><li>Coordinate with project, site, and procurement teams to collect required data.</li><li>Support senior engineers in tendering, budgeting, and reporting activities.</li><li>Learn and apply industry standards, best practices, and company procedures.</li></ul>Required Qualifications<ul><li>Bachelor&rsquo;s degree in civil engineering (fresh graduates are encouraged to apply).</li><li>Basic understanding of construction planning and estimation concepts.</li><li>Proficiency in MS Excel (mandatory); familiarity with MS Project or Primavera is an advantage.</li><li>Strong analytical and numerical skills.</li><li>Willingness to learn and adapt in a fast-paced work environment.</li></ul>Skills &amp; Competencies<ul><li>High attention to detail and accuracy</li><li>Effective communication and coordination skills</li><li>Strong time management and organizational abilities</li><li>Team-oriented mindset</li><li>Problem-solving attitude</li></ul>What We Offer<ul><li>Structured on-the-job training and mentorship</li><li>Exposure to real-world projects and professional engineering practices</li><li>Career growth opportunities within Value Engineering</li><li>A supportive, learning-focused work environment</li></ul>Job Type: Full-timeWork Location: In personWork Location: In personWork Location: In personWork Location: In person

Planning and Estimation Engineer

AKSIT GLOBAL (PRIVATE) LIMITED

Company: AKSIT GLOBAL Location: Office # 16-17,1st floor, E1 Emporium, Paradise Boulevard, Main GT Rd, near Bahria Paradise Gate, Rawalpindi, Pakistan.About us AKSIT Global is a technology driven company focused on delivering secure, scalable and smart digital solutions. We work with global clients across multiple platforms, helping businesses grow through strategic digital services and strong client relationships.Job SummaryWe are seeking a skilled Senior IT Support Engineer to manage and maintain our client&rsquo;s IT infrastructure, including networks, servers, wireless systems, helpdesk operations and end-user support. The candidate will ensure high system availability, strong security standards and efficient IT service delivery across the organization.Key Responsibilities<ul><li>Oversee helpdesk operations using ticketing systems such as Jira etc.</li><li>Administer Windows/Linux servers, Active Directory, backups and virtualization platforms.</li><li>Provide advanced troubleshooting for hardware, software and network-related issues.</li><li>Ensure endpoint security, regular updates and data protection compliance.</li><li>Maintain IT asset inventory and technical documentation.</li></ul>Requirements<ul><li>Bachelor&rsquo;s degree in IT, Computer Science, or related field.</li><li>2+ years of hands-on experience in IT support.</li><li>Experience with helpdesk/ticketing systems.</li><li>Relevant certifications (CCNA, MCSA, Security+) are an advantage.</li></ul>Key Skills<ul><li>Excellent client handling and customer service skills.</li><li>Strong teamwork and collaboration abilities.</li><li>Effective verbal and written communication skills.</li><li>Self-motivated, proactive and willing to learn new technologies.</li><li>Ability to work under pressure and manage multiple priorities.</li></ul>What We Offer<ul><li>Practical industry exposure.</li><li>Hands-on experience with real client projects along with professional work environment.</li><li>Competitive Salary and Bonuses.</li></ul>How to Apply:Send your resume to hr@aksitglobal.com or WhatsApp: +92 300 0311868.Visit our website: www.aksitglobal.comJob Type: Full-timeWork Location: In person

Senior IT Support Engineer

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