data engineer

devops engineer

ai data scientist

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aws cloud engineer

drone ai engineer

ZZ-Technologies, islamabad

About the RoleWe are seeking a Drone AI Engineer to lead the development of intelligent, autonomous capabilities for our next-generation UAV platforms. In this role, you will design, train, and deploy advanced computer vision, navigation, and decision-making algorithms that enable drones to perceive their environment, understand context, and operate safely and efficiently in dynamic real-world conditions.Key Responsibilities<ul><li>Develop and optimize AI/ML models for onboard perception, including object detection, tracking, semantic segmentation, and sensor fusion.</li><li>Build autonomous navigation systems using SLAM, path planning, and obstacle-avoidance algorithms.</li><li>Implement and test real-time inference pipelines on embedded hardware (GPU/SoC/Edge AI platforms).</li><li>Integrate AI modules into flight-control and mission-planning systems in collaboration with robotics and firmware teams.</li><li>Conduct simulation-based testing and field-testing to validate system reliability and performance.</li><li>Analyze flight data to improve model robustness, accuracy, and safety.</li><li>Stay current with advancements in AI, robotics, avionics, and drone regulatory frameworks.</li></ul>QualificationsRequired:<ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Robotics, Electrical Engineering, AI/ML, or related field.</li><li>Strong experience with deep learning frameworks (PyTorch, TensorFlow) and classical computer vision.</li><li>Hands-on experience with autonomous robotics or UAV systems.</li><li>Proficiency in Python and C++ for high-performance, real-time applications.</li><li>Experience with ROS/ROS2, Gazebo, or similar robotics simulation environments.</li><li>Familiarity with SLAM, sensor fusion (e.g., LiDAR, RGB, thermal, IMU), and reinforcement learning.</li></ul>Preferred:<ul><li>Experience deploying AI models on embedded platforms (NVIDIA Jetson, Qualcomm RB5, etc.).</li><li>Knowledge of flight-control systems, PX4/ArduPilot, or custom autopilot stacks.</li><li>Background in edge optimization (TensorRT, ONNX, quantization, pruning).</li><li>Experience with cloud-based fleet management or drone-data pipelines.</li></ul>Job Type: Full-timePay: Rs150,000.00 - Rs300,000.00 per monthWork Location: In person

Drone AI Engineer

Win Win Marketing & Developers SMC Pvt. Ltd

The Creative Lead is responsible for supervising all creative and production output, including graphics, videos, photography, and brand visuals. This role ensures that creative execution aligns with brand identity, campaign objectives, and content needs defined by the HOD and the Technical/Performance team.The Creative Lead manages the full production workflow, from concepts, storyboards, shoots, editing, and final delivery across all digital platforms.Key Responsibilities1. Creative Direction &amp; Concept Development1. Convert marketing briefs into creative concepts, themes, visuals, and storyboards.2. Collaborate with the DMM &amp; HOD to understand campaign objectives, audience, and messaging.3. Maintain brand consistency across all creative assets.2. Team Management &amp; Production Oversight4. Supervise designers, video editors, videographers, and photographers.5. Assign tasks, manage daily workflow, track deadlines.6. Ensure timely production of graphics, videos, animations, thumbnails, and banners.3. Video &amp; Photography Production7. Oversee pre-production planning (shoot concepts, props, locations, scripts).8. Manage on-site and in-studio shoots with videographers &amp; drone operators.9. Ensure high-quality editing, color grading, transitions, and final output formats.4. Graphic Design &amp; Branding10. Guide designers on brand themes, layouts, social media creatives, ads, and event graphics.11. Review all designs and ensure branding, accuracy, and creativity.12. Approve final deliverables before sending to HOD or publishing.5. Cross-Department Collaboration13. Coordinate with Content Writer (under DMM) for scripts, captions, and storyboards.14. Collaborate with Technical Lead for ad creatives, landing page graphics, and website visuals.15. Support Event Team for event coverage, promotional material, and post-event videos.6. Creative Quality Control16. Maintain production standards and ensure all content meets platform requirements.17. Conduct quality checks on all graphics &amp; videos before publishing.18. Optimize output formats for Meta, YouTube, TikTok, LinkedIn, and website.7. Reporting &amp; Tracking19. Share weekly creative output report with HOD.20. Track productivity, timelines, and project progress.21. Suggest improvements in workflow and creative efficiency.8. Innovation &amp; Trends22. Stay updated on design trends, editing styles, AI creative tools, and industry standards.23. Introduce new creative ideas to enhance brand visibility.Hiring Criteria Qualification &amp; Skills1) Bachelor&rsquo;s degree in Media Sciences, Arts, Film, Graphic Design, or related field.2) 4&ndash;6 years of experience in creative production, video editing, designing, or filmmaking. (Real Estate experience strongly preferred).3) Strong leadership experience managing creative teams.4) Proficiency in Adobe Suite (Premiere, After Effects, Photoshop, Illustrator).5) Strong understanding of brand identity and storytelling.6) Ability to work under pressure with tight deadlines.Job Type: Full-timePay: Rs80,000.00 - Rs100,000.00 per monthWork Location: In person

Creative Lead (Media Production)

convo

<div><h3 class="jobSectionHeader">Job Description</h3>
The Automation Test &amp; Integration Engineer will work at the intersection of AI-driven test generation and modern QA automation. This role involves validating and refining AI-generated test scripts (Selenium/Playwright), integrating them into CI/CD pipelines, and providing feedback to the AI engineering team to enhance automation accuracy and reliability. The engineer will also ensure seamless integration between automated testing and continuous deployment environments.<h3 class="jobSectionHeader">
Key Responsibilities</h3><ul><li>
Review and validate AI-generated automation test scripts for accuracy, maintainability, and compliance with standards.</li><li>
Fix or enhance scripts generated by the AI system to ensure they are production-ready.</li><li>
Collaborate with AI engineers to provide structured feedback for improving prompt design and model accuracy.</li><li>
Integrate automation frameworks into CI/CD pipelines (Azure DevOps, Jenkins, GitHub Actions, etc.).</li><li>
Design and maintain reusable automation frameworks using Selenium, Playwright, or equivalent tools.</li><li>
Identify automation opportunities from manual test cases and suggest improvements to the AI generation process.</li><li>
Ensure test coverage, execution efficiency, and reporting in CI/CD workflows.</li></ul><h3 class="jobSectionHeader">
Required Skills</h3><ul><li>
Strong hands-on experience with Selenium, Playwright, or other test automation frameworks.</li><li>
Proficiency with JavaScript/TypeScript, Python, or C# for test scripting.</li><li>
Good understanding of Azure DevOps, Git, and CI/CD pipelines.</li><li>
Familiarity with test design principles, test data management, and version control.</li><li>
Analytical mindset to assess AI-generated outputs and suggest improvement patterns.</li></ul><h3 class="jobSectionHeader">
Nice to Have</h3><ul><li>
Experience working with AI/ML-based test generation tools or frameworks.</li><li>
Familiarity with Postman, REST Assured, or API testing automation.</li><li>
Exposure to Docker or Kubernetes for testing in containerized environments.</li><li>
Experience with Playwright parallel execution, test dashboards, or reporting tools like Allure.</li></ul></div>

Sr. Automation Test & Integration Engineer

Value Engineering

Position: AI/ML EngineerLocation: On-siteEmployment Type: Full-timeAbout the RoleWe are seeking a highly skilled and motivated AI/ML Engineer to join our team. The ideal candidate will have a strong foundation in machine learning, deep learning, and data engineering, with the ability to design, build, and deploy AI solutions that solve complex real-world problems. You will collaborate closely with software engineers, data scientists, and product managers to integrate AI models into production systems and continuously improve their performance.Key Responsibilities<ul><li>Model Development &amp; Research</li><li>Design, train, and fine-tune machine learning and deep learning models for tasks such as classification, regression, NLP, computer vision, and generative AI.</li><li>Research and evaluate emerging AI/ML frameworks, architectures, and techniques to keep our systems cutting-edge.</li><li>Data Engineering</li><li>Collect, preprocess, clean, and transform structured and unstructured datasets (text, images, audio, PDFs, etc.).</li><li>Implement feature engineering, dimensionality reduction, and data augmentation techniques.</li><li>Deployment &amp; Scaling</li><li>Package and deploy models into production environments (e.g., using FastAPI, Flask, TensorFlow Serving, TorchServe, or Kubernetes).</li><li>Ensure scalability, performance, and security of deployed AI solutions.</li><li>MLOps &amp; Automation</li><li>Implement CI/CD pipelines for ML workflows (training, testing, deployment).</li><li>Use tools like MLflow, DVC, Airflow, or Kubeflow to manage experiments, track models, and orchestrate workflows.</li><li>Collaboration</li><li>Work with cross-functional teams to understand requirements and deliver AI-driven solutions.</li><li>Document designs, processes, and results for both technical and non-technical stakeholders.</li></ul>Required Qualifications<ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Data Science, AI/ML, or related field. (PhD is a plus.)</li><li>Solid programming skills in Python (experience with libraries like TensorFlow, PyTorch, Scikit-learn, Hugging Face).</li><li>Strong understanding of machine learning algorithms, deep learning architectures (CNNs, RNNs, Transformers), and statistical modeling.</li><li>Proficiency in handling large datasets, SQL/NoSQL databases, and data pipelines.</li><li>Experience with cloud platforms (AWS, GCP, Azure) and containerization tools (Docker, Kubernetes).</li><li>Knowledge of version control (Git) and collaboration tools (Bitbucket, GitHub, GitLab).</li></ul>Preferred Skills<ul><li>Experience in NLP (transformers, LLM fine-tuning), Computer Vision, or Generative AI.</li><li>Familiarity with vector databases (Pinecone, Weaviate, pgvector, Chroma) for RAG pipelines.</li><li>Understanding of MLOps best practices (CI/CD for ML, model monitoring, drift detection).</li><li>Strong mathematical foundation (linear algebra, probability, optimization).</li><li>Prior experience in deploying end-to-end AI applications in real-world scenarios.</li></ul>Soft Skills<ul><li>Strong problem-solving and analytical mindset.</li><li>Ability to work independently and in a collaborative environment.</li><li>Excellent communication skills to explain complex AI/ML concepts to non-technical teams.</li></ul>Job Type: Full-timePay: Rs400,000.00 - Rs600,000.00 per monthApplication Question(s):<ul><li>Are you comfortable commuting to bahria phase 4 Rawalpindi on daily basis?</li></ul>Work Location: In person

Lead AI/ML Engineer

Telenor

<div>Position Title: Senior AI Engineer
Reporting to: Director Automation Hub
Job Group: 2/3
Location: Islamabad
Division: Telenor Shared Services Pakistan
Department: Automation Hub
Unit: Finance &amp; Procurement Tribe
About Telenor Shared Services Pakistan
Telenor Shared Services Pakistan delivers transactional business services in the areas of Finance &amp; Accounting and IT. Together with Telenor Shared Services Norway it delivers efficient business support to Telenor employees to make their work easier.
Position Related
We are seeking a Senior AI Engineer with strong expertise in designing, building, and deploying secure and scalable AI solutions within enterprise environments. This role requires a unique blend of technical depth, business understanding, and the ability to translate complex AI concepts into practical, value-driven outcomes.
The ideal candidate will have a strong background in AI engineering, experience with LLMs and RAG architecture, AI Ops and the ability to collaborate across teams to deliver high-impact AI solutions.
Goals
Key Responsibilities<ul><li>
Design and deploy enterprise-scale LLM and AI solutions for NLP/ML, conversational AI, automation and agentic workflows.</li><li>
Build and optimize RAG pipelines using enterprise data sources with security and compliance as core principles.</li><li>
Develop and manage distributed training, fine-tuning, and inference systems optimized for large-scale workloads on cloud environments.</li><li>
Integrate AI models into enterprise workflows, APIs, microservices, and cloud platforms.</li><li>
Implement AIOps best practices for continuous integration, deployment, monitoring, governance, and lifecycle management of AI models.</li><li>
Ensure responsible AI usage, including explainability, bias mitigation, security, and auditability.</li></ul><ul><li>
Work closely with cross functional/technical teams to align AI solutions with business priorities,</li><li>
Translate functional requirements and communicate complex AI concepts clearly to technical and non-technical stakeholders.</li></ul>
Note: Above goals and job descriptions are indicative and subject to change
Experience &amp; Qualification<ul><li>
Bachelor&rsquo;s or master&rsquo;s in computer science, Software Engineering, AI/ML, Data Science, or a related field.</li><li>
7+ years of experience in AI/ML engineering or software engineering.</li><li>
At least 2&ndash;3 years of experience with LLM-based AI solutions in enterprise environments.</li><li>
Demonstrated ability to manage end-to-end delivery, including requirement gathering, solution design, implementation, and stakeholder communication.</li></ul>
Required Technical Skills<ul><li>
Strong proficiency in Python, clean architecture, and production-grade API development.</li><li>
Deep experience with LLM frameworks and tooling such as LangChain, LangGraph, LlamaIndex, or similar orchestration and agent frameworks.</li><li>
Experience with RAG systems, vector databases, and similarity search technologies.</li><li>
Expertise in model optimization: parameter-efficient tuning, quantization, mixed-precision, distributed parallelism.</li><li>
Experience deploying and scaling AI inference using optimized serving frameworks.</li><li>
Experience building multi-agent systems using agent orchestration tools.</li></ul>
Functional &amp; Behavioral Skills<ul><li>
Service-minded, open-minded, culturally aware.</li><li>
Highly structured, focused, and able to prioritize effectively.</li><li>
Innovative, curious, and a strategic thinker.</li><li>
Strong analytical and problem-solving abilities.</li><li>
Team-oriented with the ability to foster collaboration and psychological safety.</li><li>
Adaptable, proactive and comfortable working under strict deadlines.</li></ul>
Potential Career Path<ul><li>
Progression to Senior Manager/ Director roles AI and Data positions.</li></ul></div>

Senior AI Engineer

HyperSoft Tech

About the RoleWe are seeking a skilled AI Engineer with 3+ years of experience to design, develop, and implement AI solutions. The candidate will work on machine learning models, data analysis, and AI-driven applications to help our products deliver intelligent features.Key Responsibilities<ul><li>Develop, train, and deploy AI/ML models for various applications.</li><li>Work with data scientists, developers, and product teams to integrate AI solutions into products.</li><li>Preprocess, analyze, and interpret large datasets to build AI models.</li><li>Ensure model performance, accuracy, and scalability.</li><li>Collaborate in code reviews, model testing, and deployment processes.</li><li>Stay updated with AI/ML research, tools, and industry trends.</li><li>Document processes, methodologies, and model performance metrics.</li></ul>Requirements &amp; Skills<ul><li>Bachelor&rsquo;s degree in Computer Science, Data Science, AI, or related field.</li><li>3+ years of hands-on experience in AI/ML development.</li><li>Strong knowledge of Python, R, or Java, and AI frameworks like TensorFlow, PyTorch, or Scikit-learn.</li><li>Experience with data preprocessing, feature engineering, and model evaluation.</li><li>Familiarity with cloud services (AWS, Azure, GCP) for AI deployment.</li><li>Good problem-solving, analytical, and teamwork skills.</li><li>Understanding of software development lifecycle (SDLC) is a plus.</li></ul>Preferred (Optional)<ul><li>Experience in NLP, computer vision, or generative AI.</li><li>Knowledge of deploying AI models in production environments.</li></ul>Job Type: Full-timePay: Rs100,000.00 - Rs150,000.00 per monthWork Location: In person

AI Engineer (Mid-Level)

Funprime technologies Pvt Ltd

We are hiring a talented Prompt Engineer to develop, refine, and optimize prompts for AI tools used across content creation, product development, marketing, and internal automation workflows. The ideal candidate should have strong analytical and writing skills, along with hands-on experience working with AI models such as ChatGPT or similar tools.Key Responsibilities<ul><li>Develop, test, and refine effective prompts for various AI use cases</li><li>Collaborate with product, marketing, design, development, and ASO teams to create AI-driven solutions</li><li>Build and maintain a prompt library for internal use</li><li>Analyze AI outputs and adjust prompts to improve reliability, accuracy, and tone</li><li>Research the latest AI tools, prompt frameworks, and optimization techniques</li><li>Create documentation and guidelines for prompt usage</li><li>Assist in automating workflows using AI tools and integrations (where applicable)</li><li>Ensure consistency and quality across all AI-generated content</li></ul>Required Skills &amp; Qualifications<ul><li>1&ndash;2 years of experience in prompt engineering, AI content creation, or related roles</li><li>Strong understanding of AI language models and prompt optimization techniques</li><li>Excellent written communication skills with attention to clarity and structure</li><li>Ability to think logically and solve problems creatively</li><li>Comfortable working with cross-functional teams</li><li>Basic understanding of automation workflows or APIs (preferred but not mandatory)</li><li>Experience working in a tech or mobile app environment is a plus</li></ul>Job Type: Full-timeWork Location: In person

Jr. Prompt Engineer

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