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ai engineer – ai automation (night shift) Jobs in Islamabad

ai engineer

Python Technologies

Job Title: AI Engineer (2+ Years Experience) Location: Onsite &ndash; DHA Phase 2, Islamabad Job Type: Full-time Working Hours: 6:00 PM &ndash; 2:00 AM (Evening/Night Shift)About the Role: We are looking for a skilled and motivated AI Engineer with at least 2+ years of hands-on experience to join our team onsite at our DHA Phase 2 Islamabad office. You will be responsible for designing, developing, and deploying AI-powered solutions across various products and client projects. This role is ideal for someone who enjoys building real-world AI applications and working in a fast-paced environment.Key Responsibilities:<ul><li>Design, develop, and deploy AI/ML models and AI-driven applications</li><li>Build and integrate LLM-based features (chatbots, automation tools, AI assistants, etc.)</li><li>Work with APIs, vector databases, and model integrations</li><li>Optimize models for performance, scalability, and accuracy</li><li>Collaborate with product, backend, and frontend teams to deliver AI solutions</li><li>Conduct testing, evaluation, and continuous improvement of AI systems</li><li>Stay updated with the latest AI trends, tools, and frameworks</li></ul>Requirements:<ul><li>Minimum 2+ years of experience in AI/ML or related field</li><li>Strong proficiency in Python</li><li>Experience with LLMs, OpenAI APIs, LangChain, or similar frameworks</li><li>Familiarity with machine learning frameworks (TensorFlow, PyTorch, etc.)</li><li>Experience with REST APIs, databases, and cloud services</li><li>Understanding of prompt engineering, RAG pipelines, or AI automation workflows</li><li>Strong problem-solving and debugging skills</li><li>Good communication and teamwork abilities</li></ul>Nice to Have:<ul><li>Experience with vector databases (Pinecone, Weaviate, FAISS, etc.)</li><li>Experience deploying AI applications to production</li><li>Knowledge of Docker, CI/CD, or cloud platforms (AWS, GCP, Azure)</li></ul>What We Offer:<ul><li>Competitive salary based on experience</li><li>Opportunity to work on cutting-edge AI products</li><li>Growth-focused and collaborative environment</li><li>Long-term career opportunities</li></ul>Location &amp; Timing: This is a strictly onsite position at our office in DHA Phase 2, Islamabad. Working hours are 6:00 PM to 2:00 AM.Job Type: Full-timePay: Rs70,000.00 per monthWork Location: In person

AI Engineer

Try Soft Ai

Try Soft AI is looking for a highly skilled AI Engineer with strong experience in AI Automation and Generative AI technologies to join our growing engineering team. The ideal candidate will have hands-on experience building AI-powered automation systems, AI agents, and voice AI solutions.Location: DHA Phase 2, Islamabad, Pakistan Job Type: Full-Time (Onsite) Working Hours: 08:00 PM &ndash; 05:00 AM (Pakistan Standard Time) Department: Artificial Intelligence / Automation EngineeringAbout the RoleWe are looking for a highly skilled AI Engineer with strong experience in AI Automation, LLM integrations, and workflow automation. The ideal candidate will design, develop, and deploy intelligent systems that automate business processes using AI models, APIs, and automation platforms.This role requires deep expertise in Generative AI, AI agents, API integrations, and automation pipelines. The engineer will work closely with product, engineering, and operations teams to build scalable AI-powered automation solutions for internal and client-facing applications.Key ResponsibilitiesAI Automation Development<ul><li>Design and develop AI-powered automation systems that streamline business workflows and operational processes.</li><li>Build AI agents, voice agents, and conversational assistants using LLMs and AI APIs.</li><li>Implement AI-driven automation pipelines for tasks such as lead qualification, customer support, appointment booking, and data processing.</li><li>Integrate AI models into production environments using APIs and microservices architecture.</li></ul>Generative AI &amp; LLM Implementation<ul><li>Develop applications using Large Language Models (LLMs) such as OpenAI GPT models, Claude, or similar AI platforms.</li><li>Design prompt engineering strategies to optimize LLM performance.</li><li>Implement Retrieval-Augmented Generation (RAG) pipelines using vector databases.</li><li>Build AI copilots, chatbots, and decision support systems.</li></ul>Automation &amp; Integration<ul><li>Develop advanced automation workflows using tools such as:</li><li>Make.com</li><li>Zapier</li><li>n8n</li><li>LangChain</li><li>LlamaIndex</li><li>Integrate AI systems with:</li><li>CRM platforms</li><li>Databases</li><li>SaaS products</li><li>Web applications</li><li>Third-party APIs</li></ul>Voice AI &amp; Conversational Systems<ul><li>Develop AI voice agents and voice-based automation systems.</li><li>Integrate platforms such as:</li><li>Vapi.ai</li><li>Twilio</li><li>ElevenLabs</li><li>Speech-to-Text and Text-to-Speech engines</li><li>Implement real-time conversational AI systems for customer interactions.</li></ul>Backend Development &amp; API Engineering<ul><li>Design and implement RESTful APIs and AI microservices.</li><li>Integrate AI services into web and mobile applications.</li><li>Ensure scalability, reliability, and security of AI automation systems.</li></ul>Data &amp; Model Integration<ul><li>Work with structured and unstructured data sources.</li><li>Implement vector search and embeddings using vector databases such as:</li><li>Pinecone</li><li>Weaviate</li><li>FAISS</li><li>ChromaDB</li><li>Optimize AI models for performance and cost efficiency.</li></ul>Monitoring &amp; Optimization<ul><li>Monitor AI system performance and improve model outputs.</li><li>Implement logging, error handling, and retry mechanisms for automation workflows.</li><li>Continuously optimize AI workflows for accuracy, reliability, and efficiency.</li></ul>Required Technical SkillsProgramming Languages<ul><li>Python (Highly preferred)</li><li>JavaScript / Node.js</li><li>TypeScript</li></ul>AI &amp; Machine Learning<ul><li>Generative AI</li><li>LLM Applications</li><li>Prompt Engineering</li><li>Retrieval-Augmented Generation (RAG)</li><li>AI Agents &amp; Autonomous Workflows</li></ul>AI Frameworks<ul><li>LangChain</li><li>LlamaIndex</li><li>OpenAI API</li><li>HuggingFace</li><li>Transformers</li></ul>Automation Platforms<ul><li>Make.com</li><li>Zapier</li><li>n8n</li><li>Custom automation frameworks</li></ul>Voice AI Technologies<ul><li>Vapi.ai</li><li>Twilio Voice / SMS APIs</li><li>ElevenLabs</li><li>Speech-to-Text &amp; Text-to-Speech systems</li></ul>Databases<ul><li>PostgreSQL</li><li>MongoDB</li><li>Redis</li><li>Vector Databases (Pinecone, Weaviate, FAISS, Chroma)</li></ul>Cloud Platforms<ul><li>AWS / GCP / Azure</li><li>Docker</li><li>Serverless architectures</li></ul>Other Technical Skills<ul><li>REST APIs &amp; Webhooks</li><li>OAuth &amp; API authentication</li><li>Git / Version Control</li><li>CI/CD pipelines</li></ul>Qualifications<ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Artificial Intelligence, Software Engineering, or related field.</li><li>3+ years of experience in software development with exposure to AI technologies.</li><li>1&ndash;2+ years of hands-on experience building AI automation solutions.</li><li>Experience deploying AI-powered applications in production environments.</li><li>Excellent communication and collaboration skills. (MUST)</li></ul>Preferred Experience<ul><li>Experience building AI voice assistants or AI call agents.</li><li>Experience working with SaaS automation products.</li><li>Experience integrating AI systems with CRM platforms.</li><li>Experience in startup or fast-paced product environments.</li><li>Knowledge of AI security, privacy, and model governance.</li></ul>Soft Skills<ul><li>Strong analytical and problem-solving abilities.</li><li>Ability to design scalable automation architectures.</li><li>Excellent communication and collaboration skills. (MUST)</li><li>Ability to work independently during night shift operations.</li></ul>Work Environment<ul><li>Onsite role based in DHA Phase 2, Islamabad.</li><li>Night shift: 08:00 PM &ndash; 05:00 AM (Pakistan Standard Time).</li><li>Opportunity to work on cutting-edge AI automation and voice AI technologies.</li></ul>Work Location: In person

AI Engineer – AI Automation (Night Shift)

Tether Operations Limited

<div>Join Tether and Shape the Future of Digital Finance
At Tether, we&rsquo;re not just building products, we&rsquo;re pioneering a global financial revolution. Our cutting-edge solutions empower businesses&mdash;from exchanges and wallets to payment processors and ATMs&mdash;to seamlessly integrate reserve-backed tokens across blockchains. By harnessing the power of blockchain technology, Tether enables you to store, send, and receive digital tokens instantly, securely, and globally, all at a fraction of the cost. Transparency is the bedrock of everything we do, ensuring trust in every transaction.
Innovate with Tether
Tether Finance: Our innovative product suite features the world&rsquo;s most trusted stablecoin, USDT, relied upon by hundreds of millions worldwide, alongside pioneering digital asset tokenization services.
But that&rsquo;s just the beginning:
Tether Power: Driving sustainable growth, our energy solutions optimize excess power for Bitcoin mining using eco-friendly practices in state-of-the-art, geo-diverse facilities.
Tether Data: Fueling breakthroughs in AI and peer-to-peer technology, we reduce infrastructure costs and enhance global communications with cutting-edge solutions like KEET, our flagship app that redefines secure and private data sharing.
Tether Education: Democratizing access to top-tier digital learning, we empower individuals to thrive in the digital and gig economies, driving global growth and opportunity.
Tether Evolution: At the intersection of technology and human potential, we are pushing the boundaries of what is possible, crafting a future where innovation and human capabilities merge in powerful, unprecedented ways.
Why Join Us?
Our team is a global talent powerhouse, working remotely from every corner of the world. If you&rsquo;re passionate about making a mark in the fintech space, this is your opportunity to collaborate with some of the brightest minds, pushing boundaries and setting new standards. We&rsquo;ve grown fast, stayed lean, and secured our place as a leader in the industry.
If you have excellent English communication skills and are ready to contribute to the most innovative platform on the planet, Tether is the place for you.
Are you ready to be part of the future?
About the role:
You will own the inference backbone behind QVAC's local AI stack: the C++ systems layer that makes models run fast, reliably, and predictably on real user hardware. The role is centered on engineering quality at runtime level, including startup behavior, memory pressure, throughput/latency balance, and long-session stability. You will define and evolve the core abstractions that inference features depend on, so new capabilities can be added without sacrificing performance or maintainability. This is a role for someone who enjoys low-level problem solving, clear technical ownership, and building infrastructure that other teams trust in production. Your work directly enables private, on-device AI experiences and helps set the technical foundation for QVAC's next generation of peer-to-peer AI products.
Responsibilities<ul><li>
Work on deploying machine learning models to edge devices using the frameworks: llama.cpp, ggml, onnx</li><li>
Collaborate closely with researchers to assist in coding, training and transitioning models from research to production environments</li><li>
Integrate AI features into existing products, enriching them with the latest advancements in machine learning</li></ul><ul><li>
Excellent programming skills in C++, experience in Javascript is a bonus</li><li>
Strong experience with Llama.cpp and ggml inference engines, which facilitates the deployment of models to specific GPU architectures</li><li>
Good understanding of deep learning concepts and model architectures</li><li>
Experience with transformers, LLMs, Diffusion models</li><li>
Demonstrated ability to rapidly assimilate new technologies and techniques</li><li>
A degree in Computer Science, AI, Machine Learning, or a related field, complemented by a solid track record in AI R&amp;D</li></ul>
Bonus points if:<ul><li>
You have experience with Javascript/Typescript</li><li>
You understand the difficulties, nuances and importance of p2p technology</li><li>
You have experience with any of Vulkan, Metal and OpenCL</li><li>
You have productionized models</li></ul>
Important information for candidates 
Recruitment scams have become increasingly common. To protect yourself, please keep the following in mind when applying for roles:<ul><li>
Apply only through our official channels. We do not use third-party platforms or agencies for recruitment unless clearly stated. All open roles are listed on our official careers page: https://tether.recruitee.com/</li><li>
Verify the recruiter&rsquo;s identity. All our recruiters have verified LinkedIn profiles. If you&rsquo;re unsure, you can confirm their identity by checking their profile or contacting us through our website.</li><li>
Be cautious of unusual communication methods. We do not conduct interviews over WhatsApp, Telegram, or SMS. All communication is done through official company emails and platforms.</li><li>
Double-check email addresses. All communication from us will come from emails ending in @tether.to or @tether.io</li><li>
We will never request payment or financial details. If someone asks for personal financial information or payment at any point during the hiring process, it is a scam. Please report it immediately.</li></ul>
When in doubt, feel free to reach out through our official website.</div>

Senior AI Inference Engineer (100% Remote)

<div>Join Tether and Shape the Future of Digital Finance
At Tether, we&rsquo;re not just building products, we&rsquo;re pioneering a global financial revolution. Our cutting-edge solutions empower businesses&mdash;from exchanges and wallets to payment processors and ATMs&mdash;to seamlessly integrate reserve-backed tokens across blockchains. By harnessing the power of blockchain technology, Tether enables you to store, send, and receive digital tokens instantly, securely, and globally, all at a fraction of the cost. Transparency is the bedrock of everything we do, ensuring trust in every transaction.
Innovate with Tether
Tether Finance: Our innovative product suite features the world&rsquo;s most trusted stablecoin, USDT, relied upon by hundreds of millions worldwide, alongside pioneering digital asset tokenization services.
But that&rsquo;s just the beginning:
Tether Power: Driving sustainable growth, our energy solutions optimize excess power for Bitcoin mining using eco-friendly practices in state-of-the-art, geo-diverse facilities.
Tether Data: Fueling breakthroughs in AI and peer-to-peer technology, we reduce infrastructure costs and enhance global communications with cutting-edge solutions like KEET, our flagship app that redefines secure and private data sharing.
Tether Education: Democratizing access to top-tier digital learning, we empower individuals to thrive in the digital and gig economies, driving global growth and opportunity.
Tether Evolution: At the intersection of technology and human potential, we are pushing the boundaries of what is possible, crafting a future where innovation and human capabilities merge in powerful, unprecedented ways.
Why Join Us?
Our team is a global talent powerhouse, working remotely from every corner of the world. If you&rsquo;re passionate about making a mark in the fintech space, this is your opportunity to collaborate with some of the brightest minds, pushing boundaries and setting new standards. We&rsquo;ve grown fast, stayed lean, and secured our place as a leader in the industry.
If you have excellent English communication skills and are ready to contribute to the most innovative platform on the planet, Tether is the place for you.
Are you ready to be part of the future?
About the role:
You will own the inference backbone behind QVAC's local AI stack: the C++ systems layer that makes models run fast, reliably, and predictably on real user hardware. The role is centered on engineering quality at runtime level, including startup behavior, memory pressure, throughput/latency balance, and long-session stability. You will define and evolve the core abstractions that inference features depend on, so new capabilities can be added without sacrificing performance or maintainability. This is a role for someone who enjoys low-level problem solving, clear technical ownership, and building infrastructure that other teams trust in production. Your work directly enables private, on-device AI experiences and helps set the technical foundation for QVAC's next generation of peer-to-peer AI products.
About the job
You'll work on the C++ layer that powers local AI, porting and enhancing inference engines like llama.cpp, ONNX and similar, to run efficiently on edge devices. Your focus is on the runtime: making models load faster, run leaner, and perform well across different hardware. You'll ensure that the inference layer is stable, optimized, and ready for integration with the rest of the stack.
This role is for engineers who want to work close to the metal, enabling private and fast on-device AI without relying on cloud infrastructure.
Responsibilities<ul><li>
Work on deploying machine learning models to edge devices using the frameworks: llama.cpp, ggml, onnx</li><li>
Collaborate closely with researchers to assist in coding, training and transitioning models from research to production environments</li><li>
Integrate AI features into existing products, enriching them with the latest advancements in machine learning</li></ul><ul><li>
Excellent programming skills in C++, experience in Javascript is a bonus</li><li>
Strong experience with Llama.cpp and ggml inference engines, which facilitates the deployment of models to specific GPU architectures</li><li>
Good understanding of deep learning concepts and model architectures</li><li>
Experience with transformers, LLMs, Diffusion models</li><li>
Demonstrated ability to rapidly assimilate new technologies and techniques</li><li>
A degree in Computer Science, AI, Machine Learning, or a related field, complemented by a solid track record in AI R&amp;D</li></ul>
Important information for candidates 
Recruitment scams have become increasingly common. To protect yourself, please keep the following in mind when applying for roles:<ul><li>
Apply only through our official channels. We do not use third-party platforms or agencies for recruitment unless clearly stated. All open roles are listed on our official careers page: https://tether.recruitee.com/</li><li>
Verify the recruiter&rsquo;s identity. All our recruiters have verified LinkedIn profiles. If you&rsquo;re unsure, you can confirm their identity by checking their profile or contacting us through our website.</li><li>
Be cautious of unusual communication methods. We do not conduct interviews over WhatsApp, Telegram, or SMS. All communication is done through official company emails and platforms.</li><li>
Double-check email addresses. All communication from us will come from emails ending in @tether.to or @tether.io</li><li>
We will never request payment or financial details. If someone asks for personal financial information or payment at any point during the hiring process, it is a scam. Please report it immediately.</li></ul>
When in doubt, feel free to reach out through our official website.</div>

AI Inference Engineer QVAC (100% remote Worldwide)

Motive

<div><div>Who we are:

Motive empowers the people who run physical operations with tools to make their work safer, more productive, and more profitable. For the first time ever, safety, operations and finance teams can manage their drivers, vehicles, equipment, and fleet related spend in a single system. Combined with industry leading AI, the Motive platform gives you complete visibility and control, and significantly reduces manual workloads by automating and simplifying tasks.

Motive serves nearly 100,000 customers &ndash; from Fortune 500 enterprises to small businesses &ndash; across a wide range of industries, including transportation and logistics, construction, energy, field service, manufacturing, agriculture, food and beverage, retail, and the public sector.

Visit gomotive.com to learn more.</div> 
<div></div>

Job Title: IT Support Engineer

Company: Motive (formerly KeepTruckin)

Location: PK - Islamabad (Hybrid)

Job Type: Full-Time (Rotational Shifts)

Who We Are:

Motive builds technology to improve the safety, productivity, and profitability of businesses that power the physical economy. The Motive Automated Operations Platform combines IoT hardware with AI-powered applications to automate vehicle and equipment tracking, driver safety, compliance, maintenance, spend management, and more. Motive serves more than 120,000 businesses, across a wide range of industries including trucking and logistics, construction, oil and gas, food and beverage, field service, agriculture, passenger transit, and delivery.

 Motive is proud to be a Forbes Cloud 100 company and a 2020 Career-Launching Company by Wealthfront.
<h4 class="jobSectionHeader">
Job Description:</h4>

As an integral member of our dynamic team, the IT Support Engineer holds the pivotal responsibility of championing end-user satisfaction through adept IT support. Tasked with monitoring and maintaining our company's computer systems, the IT Support Engineer performs hardware and software installations and elevates our technological prowess by tackling logical, analytical, and technical challenges independently and through collaborative efforts with internal teams and valued vendor partnerships. 


Role Overview

We are looking for a skilled and customer-focused IT Support Engineer who can deliver high-quality technical support across endpoint systems, SaaS applications, and core IT services. This role requires hands-on experience with MacOS, Windows, and Linux environments, strong troubleshooting abilities, and the capability to support users both onsite and remotely. The ideal candidate will also have exposure to modern IT operations, including MDM platforms, ticketing systems, cloud productivity tools, and emerging AI-driven support workflows 


What You'll Do 
<ul>
<li>Provide end-to-end IT support across MacOS, Windows, and Linux environments, including mass OS installations, upgrades, and configurations</li>
<li>Manage employee onboarding and offboarding (onsite and remote), covering device provisioning and MDM enrolment</li>
<li>Provide IT Support for MDM platforms such as Kandji and Microsoft Intune</li>
<li>Hands-on MacOS support and advanced troubleshooting for Windows OS issues</li>
<li>Support enterprise SaaS tools including Google Workspace (G Suite), Okta, Salesforce, and collaboration platforms</li>
<li>Provide onsite support for office users and remote support via Jira tickets, email, and Slack</li>
<li>Maintain accurate IT asset inventory and device lifecycle records</li>
<li>Assist with basic network and infrastructure troubleshooting and maintain awareness of next-generation firewalls</li>
<li>Basic understanding of current AI trends and how AI can assist in IT support ticket management</li></ul> 


What We're Looking For 
<ul>
<li>Bachelor's degree in Computer Science, Engineering, or equivalent practical experience</li>
<li>1&ndash;6 years of IT support experience in a corporate or fast-paced environment</li>
<li>Strong working knowledge of MacOS and Windows, with basic Linux familiarity</li>
<li>Hands-on experience with MDM solutions (Kandji, Microsoft Intune, or similar)</li>
<li>Solid understanding of ticketing systems such as Jira Service Management</li>
<li>Practical experience supporting GWS, SSO, CRM, VoIP and other SaaS applications</li>
<li>Good foundational knowledge of networking concepts (TCP/IP, DNS, DHCP, VPNs) and general infrastructure</li>
<li>Awareness of modern IT security concepts and tools, including next-generation firewalls</li>
<li>Understanding of how AI and automation are applied in IT support workflows</li>
<li>Strong communication and customer-handling skills with a problem-solving mindset</li>
<li>Flexibility to work varying hours or shifts when required</li>
<li>Relevant certifications (CCNA, Microsoft 365, etc.) and call-center IT support experience are a plus</li></ul><div> 
Creating a diverse and inclusive workplace is one of Motive's core values. We are an equal opportunity employer and welcome people of different backgrounds, experiences, abilities and perspectives.

Please review our Candidate Privacy Notice here.

UK Candidate Privacy Notice here.

The applicant must be authorized to receive and access those commodities and technologies controlled under U.S. Export Administration Regulations. It is Motive's policy to require that employees be authorized to receive access to Motive products and technology.</div></div>

IT Support Engineer

ZENCLOUD TECHNOLOGIES (PRIVATE) LIMITED

We are seeking a skilled Power Platform Engineer with 2-3 years proven experience to design, develop, and deploy end to end solutions across our client portfolio. You will be responsible for transforming manual business processes into streamlined, digital workflows using the Microsoft 365 ecosystem. This role focuses heavily on Dataverse architecture, AI Builder integration, and Power Automate.Key Responsibilities:<ul><li>System Architecture: Design and implement complex Dataverse environments to ensure data integrity across CRM and ERP functions.</li><li>Process Automation: Build sophisticated Power Automate flows to handle job capturing, order tracking, and financial document processing.</li><li>AI Integration: Configure AI Builder and Copilot Studio to automate data extraction from supplier invoices and incoming job requests.</li><li>Cross-Sector Delivery: Adapt solutions for diverse industries, such as engineering and construction, focusing on tracking project lifecycles and financial documents.</li><li>App Development: Create Canvas and Model-driven apps that provide intuitive interfaces for field staff and office administrators.</li></ul>Technical Requirements:<ul><li>Power Platform: Expert level proficiency in Power Apps, Power Automate, and Power BI.</li><li>Dataverse: Deep understanding of relational database design, security roles, and environment management.</li><li>M365 Ecosystem: Strong knowledge of SharePoint, Teams, and Outlook integration points.</li><li>AI &amp; Logic: Experience with AI Builder, Power Virtual Agents (Copilot Studio), and Azure Logic Apps.</li><li>Consultative Skills: Ability to translate &quot;business pain points&quot; into technical specifications.</li></ul>Preferred Qualifications:<ul><li>Microsoft Certifications (PL-100, PL-200, PL-400, or PL-600).</li><li>2-3 years proven experience with Power Pages for external supplier portals.</li><li>Background in automating financial workflows (Invoicing, PO matching).</li></ul>Work Location: In person

Power Platform Developer (AI & Automation Specialist)

Taleemabad

<div>
 
 
 Analytics Engineer @ Taleemabad
 
 
 
 
 
 
 
 About Taleemabad
 
 
 
 Taleemabad is transforming the lives of hundreds of thousands of children across Pakistan by working with public schools to improve learning outcomes. We partner with forward-thinking governments, leverage technology, and use rigorous evidence and data to ensure that teachers teach well, learning is visible, and every child has access to high-quality education. We believe deeply in efficiency, cost-effectiveness, and scaling impact nationally.
 
 
 
 
 
 
 Role Overview
 
 
 
 We are seeking an
 
 Analytics Engineer
 
 to bridge the gap between data engineering and data analysis. The role focuses on transforming raw, unstructured data into reliable, structured datasets through scalable data models and repeatable SQL transformations that support business analytics and decision-making.
 
 
 
 
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Design and maintain
 
 data models, schemas, and SQL transformations
 
 to structure raw data for analytics.
 </li>
 <li>
 Build and manage
 
 fact and dimension layers
 
 to standardize key business metrics.
 </li>
 <li>
 Develop
 
 repeatable data pipelines
 
 that ensure consistent and high-quality datasets.
 </li>
 <li>
 Identify
 
 patterns in data infrastructure
 
 and design scalable modeling layers.
 </li>
 <li>
 Collaborate with
 
 product, business, and analytics teams
 
 to translate business questions into structured data solutions.
 </li>
 <li>
 Utilize
 
 AI tools for data cleaning, schema standardization, and query generation
 
 to improve pipeline efficiency.
 </li>
 <li>
 Implement
 
 data quality checks, testing frameworks, and evaluation mechanisms
 
 to prevent errors in automated pipelines.
 </li>
 </ul>
 
 
 
 
 
 Required Skills
 
 
 <ul>
 <li>
 Strong proficiency in
 
 SQL and data modeling
 
 .
 </li>
 <li>
 Experience with
 
 data warehouses and ETL/ELT pipelines
 
 .
 </li>
 <li>
 Understanding of
 
 fact/dimension modeling and analytics layers
 
 .
 </li>
 <li>
 Familiarity with
 
 AI-assisted data workflows and automation tools
 
 .
 </li>
 <li>
 Strong analytical thinking and ability to recognize
 
 data patterns and infrastructure design opportunities
 
 .
 </li>
 </ul>
 
 
 
 
 
 Preferred
 
 
 <ul>
 <li>
 Experience with modern data stack tools such as
 
 dbt, Airflow, Snowflake, BigQuery, or similar
 
 .
 </li>
 <li>
 Knowledge of
 
 data quality testing and evaluation frameworks
 
 .
 </li>
 </ul>
 
 
</div>

Analytics Engineer

Explore 108+ Ai engineer in Islamabad this March. Find roles across top companies and apply now to boost your career.