people process & data administrator Jobs in Islamabad

people process & data administrator

ai/ml engineer

data engineer

senior ai/ml engineer

senior data analyst

ai data scientist annotation expert

Value Engineering

Position: AI Data Scientist &amp; Annotation ExpertLocation: On-site, Night Shift, Bahria Phase 4 RawalpindiEmployment Type: Full-timeAbout the RoleWe are looking for a skilled AI Data Scientist &amp; Annotation Expert to drive the full lifecycle of AI/ML solutions &mdash; from data collection and annotation through advanced model development, training, and deployment. The role combines hands-on annotation expertise (critical for building high-quality training datasets) with data science and machine learning skills to ensure robust, production-ready AI systems.You will play a central role in curating high-quality datasets, experimenting with algorithms, and ensuring model performance by leveraging both advanced data science techniques and precise annotation workflows.Key ResponsibilitiesData Science &amp; Machine Learning<ul><li>Design, build, and evaluate machine learning/deep learning models for NLP, Computer Vision, or multimodal tasks.</li><li>Perform feature engineering, exploratory data analysis (EDA), and statistical modeling.</li><li>Experiment with different model architectures (CNNs, RNNs, Transformers, LLMs) and optimize hyperparameters for maximum performance.</li><li>Develop and deploy scalable ML pipelines in production (using FastAPI, TensorFlow Serving, TorchServe, or containerized environments).</li><li>Collaborate with engineers and product teams to integrate models into end-user applications.</li></ul>Data Annotation &amp; Curation<ul><li>Design annotation workflows and guidelines for various data types (images, PDFs, audio, video, and text).</li><li>Perform and manage manual and semi-automated annotation tasks (e.g., bounding boxes, polygons, segmentation masks, labeling, and text tagging).</li><li>Implement quality control measures to ensure annotations meet accuracy and consistency standards.</li><li>Train and supervise annotation teams, providing feedback and ensuring adherence to project requirements.</li><li>Work with annotation tools (e.g., Label Studio, CVAT, Supervisely, Prodigy, Labelbox).</li><li>Assist in building gold-standard datasets that serve as the foundation for AI/ML training.</li></ul>MLOps &amp; Data Ops<ul><li>Set up pipelines for dataset versioning, experiment tracking, and model reproducibility (using MLflow, DVC, or similar).</li><li>Monitor dataset drift, class imbalances, and annotation consistency to avoid bias in models.</li><li>Collaborate with DevOps teams for deployment, scaling, and monitoring of AI models.</li></ul>Required Qualifications<ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Data Science, AI/ML, or a related field.</li><li>Strong programming skills in Python and familiarity with ML frameworks (TensorFlow, PyTorch, Scikit-learn, Hugging Face).</li><li>Solid understanding of machine learning algorithms, deep learning architectures, and statistical methods.</li><li>Hands-on experience with data annotation platforms (Label Studio, CVAT, or similar).</li><li>Familiarity with SQL/NoSQL databases and big data handling.</li><li>Strong understanding of data preprocessing (cleaning, augmentation, normalization, and transformation).</li></ul>Preferred Skills<ul><li>Prior experience in annotation team management or data labeling quality assurance.</li><li>Knowledge of vector databases (pgvector, Pinecone, Weaviate, Chroma) for AI-driven search and RAG pipelines.</li><li>Experience with MLOps tools (Airflow, Kubeflow, MLflow).</li><li>Knowledge of annotation automation using weak supervision, active learning, or semi-supervised learning techniques.</li><li>Understanding of ethical AI practices, bias detection, and responsible dataset curation.</li></ul>Soft Skills<ul><li>Exceptional attention to detail and accuracy in handling data.</li><li>Ability to train, mentor, and guide annotation teams.</li><li>Strong analytical and problem-solving skills.</li><li>Effective communication for both technical and non-technical audiences.</li><li>Self-driven, proactive, and collaborative mindset.</li></ul>Job Type: Full-timeApplication Question(s):<ul><li>are you comfortable working night shift?</li><li>Are you comfortable commuting to Bahria phase 4 Rawalpindi?</li></ul>Work Location: In person

AI Data Scientist & Annotation Expert

Cowlar Design Studio Pvt Ltd

Cowlar is a venture-funded, Y-combinator start-up delivering world-class engineering solutions in Enterprise software, Internet of things (IoT), Machine Learning, Robotics, Industry 4.0, and associated fields. Our exceptional team uses engineering best practices and a first-principles approach to solving complex problems and deliver enterprise-scale projects at startup speeds.With a culture that empowers big ideas and a focus on making our people the best version of themselves through continuous upskilling and enablement, we believe this is a place where exceptional talent comes together to make magic happen across multiple verticals. We&rsquo;re looking for like-minded people who understand our mission and are willing to become part of the journey. Cowlar (Pvt) Ltd is a subsidiary of Cowlar Inc. (USA).We&rsquo;re looking for people who are not afraid of learning something new, who can read docs, watch tutorials and teach themselves quickly. You must be familiar with agile development and reporting requirements. The ideal candidate should be self-driven and motivated. We want to work with people who realize their own potential and can execute quickly. We do not compromise on quality and your role should be to maintain the already excellent software development best practices being used at our organization.Read the Following Sections CarefullyJob SummaryYour role will be to provide support to the technical and business teams of Cowlar Design Studio to perform their tasks efficiently. One of those key roles is data annotation, where you will help with our AI development process as a vital component.As a vital component of our workflow, you will need:<ul><li>A strong sense of ownership for your tasks</li><li>Attention to detail for labeling and categorizing data</li><li>Ability to follow specific guidelines with accuracy and consistency</li></ul>We are seeking detail-oriented Data Annotators to review and tag images, text, audio, or video for AI and machine learning models. Your responsibilities will branch into:<ul><li>Data analysis</li><li>Quality assurance</li><li>Operations</li><li>Additional specialized areas</li></ul>Growth Roadmap: You will enter our structured training program where your compensation directly reflects your skillset. To see a list of skills that we expect please view the Additional Responsibilities section. You will be provided with time to learn as well as guidance to rapidly evolve your skillset. As you learn more, your salary will increase accordingly. This position offers pathways for growth and skill development beyond core annotation duties.You will work alongside talented professionals at the top of their game, gaining immense learning opportunities and exposure to a variety of potential responsibilities. Through these experiences and mentorship, you will develop into a complete professional.Key ResponsibilitiesData AnnotationAs a Data Annotator at Cowlar Design Studio, you will provide critical support to both our technical engineering teams and non-technical business teams. Your attention to detail and ability to follow instructions precisely will be essential to our success.<ul><li>Accurately label and annotate data following detailed guidelines</li><li>Review and verify annotations to maintain high-quality standards</li><li>Work with annotation leads and AI/ML team to improve annotation quality</li><li>Identify patterns and inconsistencies in data and report them</li><li>Meet productivity and accuracy targets</li><li>Take initiative to quickly absorb and understand tasks, performing them accurately as instructed</li><li>Learn and adapt to our internal tooling, while contributing ideas for improvement</li><li>Assist with data analysis tasks, interpreting annotated datasets and providing insights</li></ul>Quality AssuranceYou will participate in running regression testing, identifying bugs to improve our software, and conducting other tests as directed by the QA team. A technical understanding of software systems is highly preferred, and you are expected to quickly learn what you will be taught to develop more context for effective testing.Responsibilities:<ul><li>Android Device Management &amp; Debugging:</li><li>Establish connections to Android devices via USB and Wi-Fi using ADB and Scrcpy.</li><li>Effectively utilize Scrcpy for real-time device mirroring and control during testing.</li><li>Proficiently analyze and interpret Android Studio logs to identify and resolve software defects.</li><li>Web Application Debugging &amp; Analysis:</li><li>Leverage Chrome DevTools to thoroughly inspect and debug web applications.</li><li>Analyze network traffic using the Network tab to understand HTTP requests, responses, and API interactions.</li><li>Utilize the Console tab for JavaScript debugging and error identification.</li><li>Inspect and manipulate HTML/CSS using the Elements tab.</li><li>Examine local storage, cookies, and session storage using the Application tab.</li><li>API Testing &amp; Validation:</li><li>Understand and test API endpoints,</li><li>HTTP methods (GET, POST, PUT, DELETE)</li><li>parameters</li><li>headers and request bodies</li><li>API responses</li><li>status codes</li><li>response headers and response bodies</li><li>Data Management &amp; Analysis:</li><li>Demonstrate a strong understanding of JSON syntax and structure.</li><li>Utilize basic SQL queries (SELECT, WHERE, JOIN) to retrieve and analyze data from MySQL databases for debugging and validation purposes.</li><li>Understand database schemas, and be able to inspect database tables and data.</li><li>Email Management &amp; Testing:</li><li>Implement and utilize email aliasing concepts to create and manage multiple test accounts.</li><li>Understand the concept of creating multiple email addresses that forward to a single inbox.</li><li>Scripting:</li><li>Ability to use scripting languages, mainly JavaScript and Python to automate test cases, APIs, repetitive tasks and load testing.</li></ul>Preferred Qualifications<ul><li>Prior experience in data labeling/annotation</li><li>Familiarity with annotation tools and basic data analysis techniques</li><li>Ability to work in morning, evening &amp; night shifts as business needs require</li><li>Excellent communication skills, both written and verbal</li><li>Quick learner with the ability to understand technical concepts</li><li>Attention to detail and commitment to quality work</li><li>Basic understanding of AI/ML processes is a plus</li></ul>Additional ResponsibilitiesBeyond your core role, we'll help you grow in these additional areas by providing clear roadmaps and guidance. While some prior exposure is helpful, we value candidates who demonstrate enthusiasm for learning and developing these complementary skills over time.A successful candidate must demonstrate proficiency in internet search techniques, with comprehensive knowledge of Google Search and other search tools to efficiently locate required information. Additionally, experience with prompt engineering is essential, as it enhances analytical thinking and research capabilities, allowing for more effective information gathering and problem-solving.Following is more detail about our Roadmap for skill acquisition.<ul><li>Digital Marketing &amp; AI Tools Assist in managing social media content and engagement across all platforms. Support SEO and paid advertising campaigns. You must be able to handle our social media accounts effectively and leverage Gen-AI and AI tools for content creation and optimization. Cowlar provides premium access to all AI LLMs (ChatGPT, Claude, Gemini), and you will be expected to learn how to use these tools efficiently to enhance marketing efforts and streamline workflows.</li><li>Basic Graphic Design Create basic visuals for marketing, social media, or product documentation. Edit and enhance images for annotation projects. Experience with Adobe Suite (Illustrator, Photoshop, InDesign) is highly preferred. Experience with Figma for interface design and prototyping is also highly preferred.</li><li>Video Editing Edit short clips, promotional videos, or training content. Work with AI teams to process video data. Experience with Adobe Premiere Pro and After Effects is highly preferred for creating professional-quality video content.</li><li>Lead Generation Identify potential customers through various methods such as research, social media, and networking. Create and maintain leads lists guided by our business team across multiple verticals, products &amp; solutions. You will also participate in outreach efforts and handle operations related to internal products, ensuring smooth communication with potential clients.</li><li>Technical Understanding In a company like Cowlar, you would need to grasp technical concepts related to our specific technology and industry to effectively communicate with potential clients and support internal teams. You need sharp cognitive abilities and presence of mind. This includes understanding our products' technical specifications and use cases.</li></ul>Effective Communication Across All Levels Communication is the lifeblood of successful development. Communication is like Oxygen. At Cowlar, you'll be expected to masterfully adapt your communication style to engage a wide spectrum of audiences, from frontline employees to executives.How to applyVisit work.cowlar.com and apply to the available position (Data Annotation OR Email careers@cowlar.com with Subject: [Your Name] - [Position] OR DM your CV along with Profile details at our Linkedin Page (https://www.linkedin.com/company/cowlar-design/)Note: We strongly recommend preparing a portfolio to accompany your resume. This portfolio should be a comprehensive showcase of your skills, experiences, and relevant work. Please include:<ul><li>Examples of your best work in data annotation, quality assurance, or data analysis (if applicable)</li><li>Samples of digital marketing, graphic design, or video editing work (if applying with these skills)</li><li>Demonstrations of your technical understanding and ability to learn new tools</li><li>Any experience with AI tools and how you've utilized them effectively</li></ul>The format &amp; length of the portfolio is completely up to you. Deciding such things are part of the assessment.Remember, both the content and the presentation quality of your portfolio matter. This is your opportunity to demonstrate your attention to detail, accuracy, and ability to follow guidelines key skills for this role.Job Type: Full-timePay: Rs50,000.00 - Rs80,000.00 per monthWork Location: In person

Data Analyst (Annotator)

T-Tech Solutions Pvt Ltd

We are looking for a talented *Computer Vision Engineer* to join our AI &amp; Security Solutions team. The ideal candidate will have experience in *CCTV and live video processing, model training, and face recognition systems*. You will work on developing, optimizing, and deploying AI-driven solutions that enhance surveillance, security, and real-time video analytics.*Key Responsibilities:* Develop and deploy *computer vision models* for CCTV and live footage analysis.* Train and fine-tune *face recognition models* using large datasets.* Build real-time video processing pipelines for object detection, tracking, and recognition.* Integrate AI models into *security systems and surveillance platforms*.* Optimize performance using *GPU acceleration (CUDA, TensorRT)* for live inference.* Collaborate with DevOps and software teams to ensure smooth model deployment.* Work with libraries and frameworks such as *OpenCV, TensorFlow, PyTorch, YOLO, DeepFace.* Implement video data preprocessing, annotation, and augmentation pipelines.* Ensure security, privacy, and compliance in handling sensitive video data.* Research and implement the latest advancements in *AI, deep learning, and video analytics.*Requirements:** Bachelor&rsquo;s or Master&rsquo;s in Computer Science, AI/ML, Data Science, or related field.* *2+ years of hands-on experience* in computer vision and deep learning.* Strong knowledge of *OpenCV, TensorFlow, PyTorch, YOLO, or similar frameworks*.* Experience with *face recognition, object detection, and video analysis*.* Proficiency in Python and libraries like NumPy, Pandas, scikit-learn.* Experience in working with CCTV/live video streams.* Familiarity with Docker/Kubernetes for model deployment.* Understanding of GPU computing (NVIDIA CUDA, cuDNN).* Knowledge of data annotation and preprocessing techniques.Preferred Skills:* Experience with edge AI and IoT camera integration.* Knowledge of cloud-based AI services (AWS Recognition, Azure Face API, Google Vision AI).* Familiarity with real-time streaming protocols (RTSP, WebRTC).* Exposure to security &amp; surveillance industry standards.Job Type: Full-timePay: Rs35,000.00 per monthWork Location: In person

Computer Vision Engineer (CCTV & Face Recognition)

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>
Lahore Onsite interview event will be hosted on the day of 15th &amp; 16th October, the details will be shared during the recruiter screen. 
Location : ( ISB Onsite) 
Timings: Rotational shifts 
 
About the Role:

Being customer-obsessed and data-driven is what drives this role. We&rsquo;re looking for individuals who can empathize with users and work towards making their everyday lives easier. If you&rsquo;re analytical, detail-oriented, and organized, but also excited to roll up your sleeves and get your hands dirty, you&rsquo;d fit right in. The role will require rotational working hours onsite to ensure smooth operational running of the 24/7/365 real-time setup, and collaboration with a global team.

This role directly powers a critical live customer-facing product safety product, which forms the foundation for multiple other safety features. You would be the expert at risk identification for all our customers using our safety products.

You would also work closely with the Research &amp; Development teams to power our in-house Machine Learning and Artificial Intelligence models by generating high-quality training datasets. This requires an understanding of data requirements, data definitions, edge cases, tooling, and review processes.

In addition to that, you would also work closely with the Product team to run proof of concepts and experiments, which guide the direction of our Safety product suite, particularly in the areas of risk identification, mitigation, and reduction. You would also contribute to analyzing data to improve the user experience for our customers.
<h1 class="jobSectionHeader">
Responsibilities:</h1>
<ul><li>Review and annotate images and video data to support AI and safety features.</li>
<li>Identify and tag risks using both contextual knowledge and standardized instructions.</li>
<li>Analyze data and participate in process pilots to enhance products.</li>
<li>Maintain high standards of tagging accuracy and SLA compliance.</li>
<li>Collaborate with Product and R&amp;D teams to generate high-quality datasets.</li>
<li>To be comfortable working on multiple projects and tools, along with time management.</li>
<li>Provide feedback for existing processes and tools that help in improving the accuracy and quality of deep learning models, considering customer demand.</li>
<li>Uphold confidentiality and compliance with company standards.</li></ul> 

<h1 class="jobSectionHeader">
During Probation, Expect To</h1>
<ul><li>Participate in comprehensive training to understand Motive&rsquo;s products, in-house projects, workflows, and company values.</li>
<li>Integrate with the team and develop knowledge of work ethics and product features through hands-on experience and collaboration.</li>
<li>Undergo regular performance reviews focused on meeting defined KPIs for annotation quality, accuracy, productivity, and process adherence.</li>
<li>Receive feedback and coaching to improve multitasking abilities and deliver consistently high-quality results.</li>
<li>Successful completion of probation depends on consistently meeting these standards; failure to do so may result in an extension of probation or discontinuation of employment.</li></ul> 

<h1 class="jobSectionHeader">
What We&rsquo;re Looking For:</h1>
<ul><li>Bachelor&rsquo;s degree in Computer Science, IT, Management, Business, or a related discipline.</li>
<li>Up to two years of relevant experience, suitable for entry-level and early-career professionals.</li>
<li>Demonstrates attention to detail, strong organizational skills, and an eagerness for continuous growth.</li>
<li>Basic understanding of G-Suite preferred.</li>
<li>Approaches problem-solving and execution with a customer-centric mindset.</li>
<li>Shows genuine interest in learning annotation methodologies and exploring the use of AI and machine learning within the trucking sector.</li>
<li>Capable of effective collaboration and coordination within a dynamic, onsite team operating 24/7/365.</li>
<li>Proactively takes ownership of responsibilities and adapts well to working on multiple projects and annotation tools simultaneously.</li></ul></div><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. 

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.

#LI-Remote</div></div>

Data Annotator - ONSITE(Islamabad)

Webtronix

Job Summary: We are seeking a skilled and innovative Senior AI/ML Engineer to join our team and help design, develop, and deploy cutting-edge machine learning and artificial intelligence solutions. The ideal candidate will have strong programming skills, a deep understanding of machine learning algorithms, and experience working with large-scale datasets. You&rsquo;ll work cross-functionally with data scientists, software engineers, and product teams to integrate AI/ML models into real-world applications.Responsibilities:<ul><li>Design, develop, and implement machine learning models and AI algorithms.</li><li>Collaborate with data scientists and domain experts to preprocess and analyze data.</li><li>Optimize models for performance, scalability, and accuracy.</li><li>Develop end-to-end pipelines for model training, validation, deployment, and monitoring.</li><li>Integrate machine learning solutions into production systems and applications.</li><li>Conduct model evaluation and tuning using metrics such as precision, recall, F1 score, and ROC AUC.</li><li>Maintain documentation for models, data pipelines, and experiments.</li><li>Stay updated with the latest AI/ML research and industry trends and apply best practices.</li></ul>Qualifications:<ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Artificial Intelligence, Data Science, or related field.</li><li>Strong programming skills in Python (and libraries such as TensorFlow, PyTorch, scikit-learn).</li><li>Solid understanding of supervised, unsupervised, and deep learning techniques.</li><li>Experience with data preprocessing, feature engineering, and data visualization.</li><li>Familiarity with cloud platforms (AWS, GCP, Azure) and ML Ops tools.</li><li>Experience working with large datasets and distributed computing frameworks (e.g., Spark).</li><li>Understanding of software engineering best practices: version control (Git), CI/CD, testing, etc</li></ul>Technical Skills:<ul><li>Experience with NLP, Computer Vision, or Time Series modeling.</li><li>Familiarity with Docker, Kubernetes, and model deployment frameworks like MLflow or SageMaker.</li><li>Contributions to open-source ML projects or research publications.</li><li>Experience with data annotation tools and techniques.</li></ul>Web-Tronix is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.Job Type: Full-timePay: Rs100,000.00 - Rs250,000.00 per monthWork Location: In person

Senior AI/ML Engineer

Tech Solutions Pro

We&rsquo;re Hiring &ndash; AI Engineer (2&ndash;3 Years Experience)Location: OnsiteEmployment Type: Full-time---About the Role,We&rsquo;re looking for a passionate AI Engineer to join our team. You&rsquo;ll help implement AI in our products, client projects, and internal processes by designing, building, and deploying innovative AI solutions.---Key Responsibilities,Design, build, and deploy AI/ML models for real-world use cases.,Research and implement state-of-the-art AI techniques (NLP, Computer Vision, Generative AI, etc.).,Collaborate with teams to identify opportunities for AI-driven innovation.,Fine-tune and optimize models for performance and cost.,Develop APIs/microservices for AI model integration.,Monitor and maintain deployed models for scalability &amp; reliability.,Stay updated with the latest advancements in AI/ML.,---Requirements,2&ndash;3 years experience as an AI/ML Engineer, Data Scientist, or similar.,Strong in Python, ML frameworks (TensorFlow, PyTorch, Scikit-learn).,Experience with NLP, Computer Vision, or Generative AI.,Familiarity with cloud platforms (AWS, GCP, Azure).,Knowledge of APIs, Docker, Kubernetes for deployment.,Strong problem-solving and analytical skills.,---Nice to Have,Experience with LLMs (LangChain, Hugging Face, OpenAI APIs).,Knowledge of MLOps for deployment/monitoring AI systems.,Exposure to prompt engineering and fine-tuning LLMs.,---What We Offer,Work on cutting-edge AI projects across multiple domains.,A culture of innovation and continuous learning.,Competitive salary &amp; growth opportunities.,Collaborative environment with talented engineers.Job Type: Full-timePay: Rs100,000.00 - Rs120,000.00 per monthWork Location: In person

AI Engineer

HUAWEI Pakistan

<div>
 
 
 About the Role
 
 
 
 Huawei is seeking an
 
 AI Expert
 
 to design, develop, and deploy
 
 AI/ML-based solutions
 
 supporting
 
 RF optimization, SmartCare services, and network analytics
 
 . This role will enable proactive and predictive operations, improve network performance, and enhance customer experience through
 
 data-driven intelligence
 
 .
 
 
 The ideal candidate combines
 
 AI expertise with telecom domain knowledge
 
 , ensuring end-to-end solution delivery from
 
 data preprocessing to deployment and monitoring
 
 .
 
 
 
 
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Design, develop, and deploy
 
 AI/ML models
 
 to support RF optimization, SmartCare services, and network analytics.
 </li>
 <li>
 Build and maintain
 
 data pipelines
 
 (Python, SQL, big data platforms) for large-scale telecom datasets.
 </li>
 <li>
 Collaborate with RF planning/optimization and SmartCare teams to
 
 integrate AI into daily workflows
 
 (anomaly detection, forecasting, coverage/capacity prediction, root cause analysis).
 </li>
 <li>
 Develop
 
 automation tools, dashboards, and visualization systems
 
 for real-time insights.
 </li>
 <li>
 Deliver
 
 end-to-end AI solutions
 
 : requirements analysis, model training/validation, deployment, and monitoring.
 </li>
 <li>
 Conduct research on
 
 advanced AI techniques
 
 (LLMs, deep learning, reinforcement learning, anomaly detection, RAG) and apply them in telecom.
 </li>
 <li>
 Provide
 
 knowledge transfer, documentation, and training
 
 to internal teams.
 </li>
 <li>
 Translate business problems into
 
 data-driven AI projects
 
 .
 </li>
 <li>
 Diagnose model results and ensure alignment with
 
 business KPIs
 
 .
 </li>
 </ul>
 
 
 
 
 
 Qualifications &amp; Skills
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in
 
 Computer Science, AI, Data Science, or Telecommunications
 
 (Master&rsquo;s preferred).
 </li>
 <li>
 
 4&ndash;5 years
 
 of experience in
 
 AI/ML solution development
 
 , preferably in telecom (RF optimization, SmartCare, network analytics).
 </li>
 <li>
 Expertise in
 
 machine learning, deep learning, and data analytics frameworks
 
 (TensorFlow, PyTorch, Scikit-learn, Pandas, NumPy, Spark).
 </li>
 <li>
 Strong
 
 Python/SQL programming
 
 skills for telecom data analytics and automation.
 </li>
 <li>
 Knowledge of
 
 RF networks (2G/3G/4G/5G)
 
 and SmartCare solutions.
 </li>
 <li>
 Proficiency in
 
 data engineering and visualization tools
 
 (Power BI, Tableau, Huawei in-house tools).
 </li>
 <li>
 Familiarity with
 
 cloud-based AI/Big Data platforms
 
 .
 </li>
 <li>
 Strong
 
 problem-solving, troubleshooting, and cross-functional collaboration
 
 skills.
 </li>
 </ul>
 
 
</div>

Artificial Intelligence Engineer

Explore 432+ Ai data scientist annotation expert in Islamabad this October. Find roles across top companies and apply now to boost your career.