ai prompt engineer (creative tools specialist)

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night shift opportunity – us life insurance campaign

no sale, positive team - customer services executives (part time)

ai engineer

ai / ml engineer Jobs in Karachi Pakistan

ai / ml engineer

ai prompt engineer (creative tools specialist) Jobs in Karachi Pakistan

ai research engineer Jobs in Karachi Pakistan

ai research engineer

ai-powered front-end developer internship Jobs in Karachi Pakistan

devops engineer

Ahya Technologies (Private) Limited

<p><b>Role Description</b></p><p>We are hiring a DevOps Engineer to design, build, and scale cloud infrastructure across AWS, GCP, and regional platforms for AhyaOS and Tawazun, our climate reporting and carbon marketplace products.</p><p>This is a hands-on engineering role focused on automation, reliability, and scalable system design. You will own infrastructure, CI/CD pipelines, and deployment workflows, including supporting ML-based systems in production.</p><p>This role is suited for engineers who build systems from the ground up and take responsibility for their performance in production.</p><p><b>Key Responsibilities</b></p><ul><li>Design and manage scalable, resilient infrastructure across AWS, GCP, and regional cloud providers</li><li>Build and maintain infrastructure as code using Terraform</li><li>Develop and manage CI/CD pipelines using GitHub Actions and GitOps practices (ArgoCD)</li><li>Deploy and operate containerized applications using ECS or Kubernetes</li><li>Implement GitOps workflows for consistent and auditable deployments</li><li>Support deployment and scaling of backend services and ML workloads</li><li>Monitor systems, troubleshoot issues, and handle production incidents</li><li>Optimize infrastructure for performance, availability, and cost efficiency</li><li>Implement security best practices and support vulnerability management</li></ul><p><b>Tech Stack</b></p><ul><li>Cloud: AWS, GCP, regional cloud providers</li><li>Infrastructure: Terraform, Docker</li><li>Orchestration: ECS, Kubernetes</li><li>CI/CD: GitHub Actions, ArgoCD</li><li>Monitoring: CloudWatch, Sentry, or equivalents</li><li>Backend Exposure: Python, FastAPI, PostgreSQL, Celery</li></ul><p><b>Requirements</b></p><ul><li>3 to 6 years of hands-on experience in DevOps or Cloud Engineering</li><li>Strong experience with at least one major cloud provider (AWS or GCP)</li><li>Proven experience with infrastructure as code, Terraform preferred</li><li>Experience with containerized deployments using ECS or Kubernetes</li><li>Hands-on experience with CI/CD pipelines, GitHub Actions preferred</li><li>Familiarity with GitOps practices and tools such as ArgoCD</li><li>Ability to troubleshoot production systems and handle incidents independently</li><li>Exposure to multi-cloud or hybrid environments is an advantage</li><li>Exposure to ML deployment workflows is a plus</li></ul><p>Experience:</p><ul><li>DevOps: 4 years (Required)</li></ul><p>Work Location: In person</p>

Associate / Senior Associate, DevOps Engineer

Mashreq

<div>
 The transformation office is working on establishing Mashreq&rsquo;s Testing Center of Excellence (TCOE). It is a centralized testing framework within an organization that standardizes processes, tools, best practices, and governance. In a global bank like Mashreq, it acts as a quality assurance hub that provides strategy, tools, and resources across technology and business domains spanning retail, digital, corporate, investment banking, and regulatory areas. The purpose of the job is to augment TCOE automation process and artifacts, ensure their implementation on the project under test, creating test KPIs, metrics and dashboards and capturing them across Mashreq projects. The role must be self-directed and comfortable supporting the needs of multiple teams, systems, and products. The right candidate will be excited by the prospect of optimizing or even re-designing our company&rsquo;s automation testing practices, SOPs and architecture to support our next generation of products and Quality initiatives.
 <br/>
 <br/>
 Key Result Areas
 <br/>
 &middot; Define the vision and roadmap for automation testing, performance testing, and test data management aligned with organizational goals. &middot; Drive innovation and continuous improvement across technical QA practices. &middot; Establish automation first mind set &middot; Establish governance frameworks for automation, performance, and data strategies, ensuring compliance with internal policies and industry standards. &middot; Conduct technical audits and reviews to validate implementation quality and adherence across portfolios. &middot; Tech Auditors act as the Technical Lead&rsquo;s eyes, ensuring consistent execution of strategies across delivery teams. &middot; Design and maintain scalable, reusable frameworks for UI, API, performance, and data testing. &middot; Standardize tools and processes across teams to ensure consistency, scalability, and quality. &middot; Evaluate and integrate modern and AI-driven tools into the QA ecosystem. &middot; Ensure seamless integration of automation tools with CI/CD pipelines and test management systems. &middot; Define and track KPIs for automation, performance, and data quality (e.g., coverage, execution time, reliability). &middot; Implement dashboards to monitor effectiveness, identify gaps, and drive improvements. &middot; Leverage analytics and historical data to proactively identify risks and optimization opportunities. &middot; Develop training programs and documentation to upskill QA teams on tools, frameworks, and technical strategies. &middot; Facilitate knowledge-sharing sessions to disseminate best practices and lessons learned. &middot; Mentor QA engineers and promote technical excellence across teams. &middot; Work closely with QA portfolio leads, developers, DevOps, and business stakeholders to
 <br/>
 align technical strategies with project goals. &middot; Act as a consultant/advisor to project teams on automation, performance, and data implementation. &middot; Support delivery teams in resolving technical challenges and optimizing testing approaches. &middot; Foster a culture of experimentation and innovation, encouraging the use of emerging technologies such as AI/ML in testing. &middot; Continuously assess and refine strategies, frameworks, and tools to stay ahead of industry trends. &middot; Benchmark internal practices against industry standards to identify improvement opportunities.
 <br/>
 Operating Environment, Framework and Boundaries, Working Relationships
 <br/>
 &middot; Able to Effectively Plan &amp; Organize automation strategy &middot; Strong Interpersonal Communication &middot; Assist others in the completion of their tasks to support the group goals &middot; Build and maintain cooperative work relationships with others
 <br/>
 Problem Solving
 <br/>
 &middot; Experienced in application designing, architecting, development and deployment of TCOE automation manifesto. Must be efficient in banking domain and know QA best practices. &middot; Strong testing design and implementation skills. Experienced in banking applications automation. &middot; Feasibility Analysis- Analyze the requirements to define scope and evaluate technical feasibility for test automation.
 <br/>
 Decision Making Authority &amp; Responsibility
 <br/>
 &middot; Work on the right tasks by ensuring they know their top deliverables &middot; Assume personal responsibility for achieving outcomes
 <br/>
 Knowledge, Skills and Experience
 <br/>
 &middot; Define and evolve the automation roadmap, integrating performance, data, and security testing aligned with CI/CD pipelines. &middot; Architect reusable, scalable frameworks for UI, API, performance, and data testing using tools like Selenium, Playwright, Appium, and Rest Assured &middot; Establish automation governance, ensuring adherence to internal QA policies and regulatory standards. &middot; Evaluate and integrate modern tools into the QA ecosystem, ensuring seamless CI/CD integration and test management system compatibility. &middot; Define KPIs such as automation coverage, defect leakage, execution time, and ROI. Implement dashboards for real-time monitoring. &middot; Languages: Java, Python, JavaScript &middot; Tools: Selenium, Playwright, Appium, JMeter, Jenkins, Git, Azure DevOps &middot; Frameworks: BDD (Cucumber), TestNG, JUnit &middot; API Testing: Postman, SoapUI &middot; Database: SQL, Oracle, MongoDB &middot; Experience embedding automation into CI/CD pipelines and DevSecOps workflows. &middot; Expertise in synthetic data generation, Excel-based input handling, and validation logic. &middot; Build and maintain dashboards for execution history, defect tracking, and scenario-wise success rates. &middot; Lead and mentor automation engineers across pods and geographies. &middot; Collaborate with QA managers, DevOps, business analysts, and product owners. &middot; Drive knowledge-sharing sessions and capability-building initiatives.
 <br/>
 &middot; Act as a technical advisor in stakeholder demos and internal audits. &middot; Define and maintain automation strategy and frameworks. &middot; Conduct feasibility studies and tool evaluations. &middot; Oversee script development, dry runs, and batch execution. &middot; Ensure traceability and coverage across test artefacts. &middot; Troubleshoot and resolve technical issues. &middot; Track and report automation metrics and ROI. &middot; Ensure alignment with QA policy and regulatory mandates. &middot; Bachelor&rsquo;s/Master&rsquo;s in Computer Science, Engineering, or related field. &middot; ISTQB or equivalent certification preferred. &middot; Minimum 8&ndash;10 years in QA with 5+ years in automation leadership roles.
</div>


AVP, Technical Lead (Automation) - TCOE.MGN Pak - TECH - Transformation Office.MIT - PAKCOE

TechnoSys

<p><b>Company Description:</b><br/>TechnoSys is a dynamic team of professionals serving the IT sector in Pakistan since 1998. We specialize in retail ERP software solutions and cater to Pakistan's top-notch local retail brands across various verticals, including Restaurant, Bakery, Supermarket, Fashion Retail, Optician, and Distributors. Our commitment to innovation and excellence has made us a leader in the industry. Join our team and contribute to shaping the future of retail technology.</p><p><b>Role Description:</b><br/>This is a full-time on-site role for an Artificial Intelligence Engineer located in Karachi. The AI Engineer will be responsible for designing and developing AI models, implementing machine learning algorithms, and conducting research on advanced AI technologies. Day-to-day tasks include pattern recognition, natural language processing, and neural networks development. The AI Engineer will collaborate with cross-functional teams to integrate AI solutions into software products and enhance system capabilities.</p><p><b>Requirements: </b></p><ul><li>Design, develop, and implement AI/ML models for various business applications.</li><li>Research and apply the latest AI technologies and best practices.</li><li>Train, test, and evaluate models using appropriate datasets.</li><li>Optimize models for performance, scalability, and accuracy.</li><li>Collaborate with software developers, data scientists, and product teams to integrate AI solutions into production systems.</li><li>Maintain and monitor deployed models to ensure reliability and performance.</li><li>Document model architecture, process flow, and performance metrics.</li><li>Contribute to innovation by proposing new AI-based features and tools.</li></ul><p><b>Qualification:</b></p><ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, AI, Data Science, or a related field.</li><li>Proven experience in AI/ML development (minimum 2&ndash;3 years preferred).</li><li>Proficiency in Python and AI frameworks (TensorFlow, PyTorch, Keras, etc.).</li><li>Strong understanding of data structures, algorithms, and statistical methods.</li></ul><p><b>Details: </b></p><ul><li>Timings: 9 am - 6 pm</li><li>Days: Monday to Friday</li><li>Market Competitive Salary package</li></ul><p>Job Type: Full-time</p><p>Work Location: In person</p>

AI Engineer

Hope Global School

<div><h3 class="jobSectionHeader"><b>Job Description</b></h3>
<div>AI Engineer &ndash; Agentic Data Platform designs, builds, and deploys autonomous AI agents that reason, plan, and execute tasks using LLMs, multi-agent frameworks, and enterprise data pipelines &mdash; transforming complex business operations into intelligent, self-directed, and scalable automated workflows.</div>
<h3 class="jobSectionHeader"><b>Key Responsibilities</b></h3>
<ul><li>Architect and build autonomous multi-agent AI systems at scale.</li>
<li>Integrate LLMs and agentic frameworks into enterprise data platforms.</li>
<li>Design and optimize data pipelines for AI agent consumption and retrieval.</li>
<li>Develop evaluation frameworks to monitor agent accuracy and performance.</li>
<li>Implement guardrails for safety, compliance, and production-grade reliability.</li>
<li>Collaborate with data scientists, engineers, and business stakeholders cross-functionally.</li>
<li>Research and prototype emerging agentic AI models, tools, and frameworks.</li>
<li>Translate complex business challenges into autonomous AI-native solution designs.</li>
</ul><h3 class="jobSectionHeader"><b>Skill &amp; Experience</b></h3>
<ul><li>Proficiency in Python with LangChain, LangGraph, or similar orchestration tools.</li>
<li>Strong knowledge of LLMs, prompt engineering, and AI agent design patterns.</li>
<li>Experience with cloud platforms including AWS, GCP Vertex AI, or Azure.</li>
<li>Solid understanding of vector databases, RAG pipelines, and knowledge graphs.</li>
<li>Familiarity with MLOps, CI/CD, and agent observability and monitoring tools.</li>
<li>Strong problem-solving, analytical thinking, and effective cross-functional communication.</li>
</ul>
<p><b>Note</b>: Salary depends on experience and skills and is paid in local currency.</p></div>
<br><div></div><div><ul><li><div><div>Date Posted</div>
<div>March 26, 2026</div>
</div></li><div></div><li><div><div>Location</div>
<div><div>Karachi
</div></div></div></li><div></div><li><div><div>Offered Salary:</div>
<div>3461238 - 4012509 / year</div>
</div></li><div></div><li><div><div>Expiration date</div>
<div>November 20, 2028
</div></div></li><div></div><li><div><div>Experience</div>
<div>2 Year
</div></div></li><div></div><li><div><div>Gender</div>
<div>Both
</div></div></li><div></div><li><div><div>Qualification</div>
<div>Bachelor Degree</div></div></li></ul></div>

<div>
 The transformation office is working on establishing Mashreq&rsquo;s Testing Center of Excellence (TCOE). It is a centralized testing framework within an organization that standardizes processes, tools, best practices, and governance. In a global bank like Mashreq, it acts as a quality assurance hub that provides strategy, tools, and resources across technology and business domains spanning retail, digital, corporate, investment banking, and regulatory areas. The purpose of the job is to augment TCOE process and artifacts, ensure their implementation on the project under test, creating test KPIs, metrics and dashboards and capturing them across Mashreq projects. The role must be self-directed and comfortable supporting the needs of multiple teams, systems, and products. The right candidate will be excited by the prospect of optimizing or even re-designing our company&rsquo;s testing practices, SOPs and architecture to support our next generation of products and Quality initiatives.
 <br/>
 <br/>
 Key Result Areas
 <br/>
 &middot; Define, standardize, and continuously improve QA processes, templates, and best practices across all projects. &middot; Ensure alignment with industry standards, regulatory requirements, and Mashreq&rsquo;s QA Policy. &middot; Promote automation, AI-driven testing, and innovative practices to enhance process efficiency and reliability. &middot; Establish and maintain governance frameworks to ensure QA activities comply with internal policies and external regulations. &middot; Conduct regular audits, reviews, and maturity assessments to evaluate process adherence and effectiveness. &middot; Identify process-related risks and implement mitigation and contingency strategies for critical QA activities. &middot; Define and track key QA KPIs (e.g., defect density, test coverage, cycle time) to measure process performance. &middot; Develop dashboards and reports to communicate insights and trends to stakeholders. &middot; Leverage historical data and predictive analytics to proactively identify quality risks and improvement opportunities. &middot; Collaborate with QA portfolio leads, developers, product managers, and business analysts to ensure process alignment. &middot; Facilitate cross-functional communication and resolve process-related conflicts to maintain consistency and quality. &middot; Integrate QA governance with enterprise architecture, risk, and compliance frameworks. &middot; Develop training materials and conduct workshops to educate teams on QA processes, governance, and tools. &middot; Mentor QA staff on process adoption, improvement techniques, and governance principles. &middot; Lead change management initiatives to drive adoption of new QA practices and reduce
 <br/>
 resistance. &middot; Evaluate and recommend tools that support process governance, automation, and reporting. &middot; Establish a central repository for QA assets, templates, best practices, and lessons learned to promote reuse and knowledge sharing. &middot; Define and maintain a QA maturity model to guide teams through progressive levels of process excellence. &middot; Benchmark QA practices against industry peers and lead continuous improvement initiatives to elevate organizational QA maturity.
 <br/>
 Operating Environment, Framework and Boundaries, Working Relationships
 <br/>
 &middot; Able to Effectively Plan &amp; Organize &middot; Strong Interpersonal Communication &middot; Assist others in the completion of their tasks to support the group goals &middot; Build and maintain cooperative work relationships with others
 <br/>
 Problem Solving
 <br/>
 &middot; Experienced in application designing, architecting, development and deployment of TCOE manifesto. Must be efficient in banking domain and know QA best practices. &middot; Strong testing design and implementation skills. Experienced in banking applicatioins. &middot; Feasibility Analysis- Analyze the requirements to define scope and evaluate technical feasibility.
 <br/>
 Decision Making Authority &amp; Responsibility
 <br/>
 &middot; Work on the right tasks by ensuring they know their top deliverables &middot; Assume personal responsibility for achieving outcomes
 <br/>
 Knowledge, Skills and Experience
 <br/>
 &middot; Over 15 years of experience in banking QA &middot; Bachelor's or master's degree in a quantitative discipline such as Computer Science, Engineering, or Economics. &middot; Experience in QA and QA leadership roles. &middot; Proficient in working with QA teams. &middot; Advanced skills in automation scripting, tagging conventions, and test case design. &middot; Strong command over defect lifecycle, severity categorization, defect aging, and defect removal efficiency (DRE). &middot; Handling test data provisioning, synthetic data generation, and environment setup. &middot; Hands-on experience with Azure DevOps, Jira, Confluence, SharePoint, and dashboard/reporting tools like Excel, Grafana, and Power BI. &middot; Proficiency in validating APIs for functionality, reliability, and security. &middot; Ability to define and track: Automation coverage, Execution metrics (plan vs actual), Defect density and leakage trends, Productivity benchmarks (e.g., test cases/day), Exit criteria automation &middot; Experience in building dashboards with auto-populated metrics and heat maps for defect and execution trends. &middot; Root cause analysis, risk identification, and mitigation planning. &middot; Effective stakeholder engagement, cross-functional coordination, and clear documentation. &middot; Leading triage calls, peer reviews, and coaching junior testers. &middot; Driving process optimization, standardization, and reuse of QA assets. &middot; Deliverables &amp; Responsibilities: QA Strategy Documents, Test Plan &amp; Exit Reports, Automation Strategy &amp; Execution Summary, Weekly Status Reports &amp; Dashboards, SOPs for QA processes
 <br/>
 &middot; Weekly, monthly and quarterly QA Audits and reporting
</div>


AVP, Central Process and Governance Lead - TCOE.MGN Pak - TECH - Transformation Office.MIT - PAKCOE

Qureos

<p><strong>About Qureos</strong></p><p> </p><p>Hiring is broken. Slow. Manual. Expensive.</p><p>At Qureos, we’re rebuilding how companies hire using AI, structured processes, and smart automation.</p><p>We move fast. We test aggressively. We scale what works.</p><p>Now we’re looking for a GTM Engineer who can build the engine behind our revenue machine.</p><p>If you enjoy scraping clean data, wiring tools together, automating workflows, and watching pipeline velocity improve because of systems you built — keep reading.</p><p> </p><p><strong>The Role</strong></p><p> </p><p>This isn’t traditional RevOps.</p><p>This is hands-on, technical GTM engineering.</p><p>You’ll sit at the intersection of:</p><ul><li>Sales</li><li>Growth</li><li>Data</li><li>Automation</li></ul><p> </p><p><strong>Your mission:</strong></p><p> </p><p>Build and optimize the infrastructure that powers our entire revenue engine.</p><p> </p><p><strong>What You’ll Own</strong></p><p> </p><ol><li>Lead Intelligence &amp; List Building<br />- Scrape and enrich lead data using tools and scripts<br />- Build high-quality, segmented lead lists<br />- Use LinkedIn Sales Navigator, scraping tools, APIs, and enrichment platforms<br />- Continuously improve data quality and targeting logic<br />- Outbound shouldn’t rely on guesswork. It should run on signal.<br /> </li><li>GTM Automations<br />- Build automations using Make / Zapier<br />- Connect HubSpot, Zoho, LinkedIn, Airtable, and other tools<br />- Design workflows that eliminate manual tasks<br />- Automate lead routing, enrichment, tagging, and lifecycle transitions<br />- If it’s repetitive, it should be automated.<br /> </li><li>Sales &amp; SDR Sequences<br />- Set up and optimize outbound sequences<br />- Structure email + LinkedIn cadences<br />- Align messaging workflows with ICP segments<br />- Improve conversion rates across touchpoints<br />- Sequences are systems. Systems should be engineered.<br /> </li><li>Integrations &amp; Infrastructure<br />- Connect tools across the revenue stack<br />- Build API-based integrations where needed<br />- Write Python scripts for scraping and automation<br />- Maintain data integrity across systems<br />- Troubleshoot workflow issues proactively<br />- You should be comfortable going from no-code to code when needed.<br /> </li><li>Reporting &amp; Revenue Insights<br />- Review performance numbers across the funnel<br />- Track pipeline coverage and velocity<br />- Maintain clean dashboards and reporting structures<br />- Use Mixpanel, Airtable, CRM data to provide actionable insights<br />- Identify bottlenecks and propose fixes<br />- This role is not just building systems — it’s improving them.</li></ol><p> </p><p><strong>Who You Are</strong></p><p> </p><ul><li>2–5 years experience in GTM, RevOps, Growth Ops, or technical sales operations</li><li>Comfortable with both no-code tools and writing scripts</li></ul><p> </p><p><strong>Experience with:</strong></p><p> </p><ul><li>HubSpot</li><li>Zoho</li><li>LinkedIn Sales Navigator</li><li>Make / Zapier</li><li>Python (scraping / automation)</li><li>Mixpanel</li><li>Airtable</li><li>Strong understanding of outbound and pipeline mechanics</li><li>Numbers-driven, you care about conversion rates, velocity, and coverage</li><li>Builder mindset: high ownership, fast execution</li><li>Comfortable working in ambiguity</li><li>Thinks in systems, not tasks</li></ul><p> </p><p>You don’t wait for instructions.</p><p>You identify inefficiencies and fix them.</p><p> </p><p><strong>What Good Performance Looks Like</strong></p><p> </p><ul><li>Clean, scalable GTM infrastructure</li><li>2–3x pipeline coverage maintained</li><li>Reduced manual work across SDR &amp; sales teams</li><li>Accurate reporting and visibility</li><li>Faster lead-to-meeting conversion</li><li>Revenue engine that runs smoother every month</li></ul><p> </p><p><strong>Why Join Qureos</strong></p><p> </p><ul><li>Build the backbone of a fast-scaling AI company</li><li>High ownership and autonomy</li><li>Direct impact on revenue growth</li><li>Work closely with growth and leadership</li><li>No bureaucracy. Just speed and execution.</li></ul><p> </p><p>If building systems that drive revenue excites you more than maintaining spreadsheets, apply.</p><p>Let’s engineer the growth engine.</p>

Revenue Operations Specialist

appearls

<p>We are looking for a highly creative and detail-oriented <b>AI Prompt Engineer</b> to join our team. The ideal candidate will be responsible for crafting high-quality prompts and leveraging cutting-edge AI tools to generate engaging visual, audio, and video content.</p><p>If you have a passion for AI, creativity, and experimentation with emerging technologies, this role is for you.</p><p><b>Key Responsibilities:</b></p><ul><li>Design and optimize prompts for AI-generated content (text, image, video, and voice)</li><li>Work with AI tools to create high-quality marketing and creative assets</li><li>Continuously test and improve prompt performance for better outputs</li><li>Collaborate with design and marketing teams for campaign execution</li><li>Stay updated with the latest AI trends and tools</li></ul><p><b>Tools &amp; Technologies:</b></p><ul><li>Veo3 (AI Video Generation)</li><li>Nano Banana (Creative AI Tool)</li><li>ElevenLabs (AI Voice Generation)</li><li>CapCut (Video Editing)</li><li>Gemini (AI Content &amp; Prompting)</li></ul><p><b>Requirements:</b></p><ul><li>Proven experience with AI tools and prompt engineering</li><li>Strong creative thinking and problem-solving skills</li><li>Basic knowledge of video editing and content creation</li><li>Familiarity with AI-generated voice, video, and image tools</li><li>Ability to work independently and meet deadlines</li></ul><p><b>Preferred Qualifications:</b></p><ul><li>Experience in digital marketing or content creation</li><li>Background in design, media, or tech</li><li>Understanding of AI workflows and automation</li></ul><p><b>Why Join Us?</b></p><ul><li>Work with cutting-edge AI technologies</li><li>Creative and innovative environment</li><li>Opportunity to grow in a fast-evolving field</li></ul><p><b>How to Apply:</b></p><p>Submit your portfolio or samples of AI-generated work along with your application.</p><p>Job Type: Full-time</p><p>Work Location: Hybrid remote in Karachi</p>

AI Prompt Engineer (Creative Tools Specialist)

Explore 12+ Devops engineer in Karachi Pakistan this April. Find roles across top companies and apply now to boost your career.

12 devops engineer jobs In Karachi Pakistan

Associate / Senior Associate, DevOps Engineer

AVP, Technical Lead (Automation) - TCOE.MGN Pak - TECH - Transformation Office.MIT - PAKCOE

AI Engineer

AI Engineer

AVP, Central Process and Governance Lead - TCOE.MGN Pak - TECH - Transformation Office.MIT - PAKCOE

Revenue Operations Specialist

AI Prompt Engineer (Creative Tools Specialist)