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computer vision engineer

T-Tech Solutions Pvt Ltd

Position: Computer Vision Engineer Experience Required: Minimum 1 year Education: Bachelor&rsquo;s degree in Computer Science, Artificial Intelligence, Data Science, Software Engineering, or related fieldJob OverviewWe are looking for a passionate and skilled Computer Vision Engineer with hands-on experience in object detection, image/video processing, and model deployment. The ideal candidate should be able to work with deep learning frameworks, prepare datasets, and develop real-time computer vision solutions.Required Skills Computer Vision &amp; Deep Learning<ul><li>Object detection (YOLO or similar models)</li><li>Image and video processing</li><li>OpenCV for preprocessing and augmentation</li><li>Experience with PyTorch or TensorFlow</li><li>Understanding of basic ML concepts and evaluation metrics</li><li>Strong Python skills (NumPy, Pandas, Matplotlib)</li><li>Dataset preparation &amp; labeling (CVAT, Roboflow, or similar)</li><li>Handling CCTV/RTSP live video streams</li><li>API development using FastAPI or Flask</li><li>Basic knowledge of Docker</li><li>Git version control</li><li>Experience with Jupyter Notebook</li><li>Linux basics</li></ul>Responsibilities<ul><li>Train and fine-tune computer vision models</li><li>Work with live video camera streams</li><li>Prepare and maintain datasets</li><li>Build and maintain API endpoints for model inference</li><li>Optimize models for speed and accuracy</li><li>Implement detecting, tracking &amp; analytic systems.</li><li>Collaborate with backend teams for deployment</li><li>Maintain code quality &amp; documentation</li></ul>Job Type: Full-timePay: From Rs35,000.00 per monthWork Location: In person

COMPUTER VISION ENGINEER

Kodifly

<div>
 
 About Kodifly:
 
 
 
 Kodifly is an AI-first spatial intelligence company transforming infrastructure monitoring and management. Headquartered in Hong Kong Science Park, with an expanded presence in Pakistan and ongoing expansion into the Kingdom of Saudi Arabia, we are backed by HKAI Lab and the Nvidia Inception program. Our expertise spans 3D point cloud processing, digital twin creation, and LiDAR technology. We develop intelligent infrastructure solutions that enable cities and enterprises to operate with greater efficiency and insight. By integrating AI-powered analytics, digital twins, and real-time spatial intelligence, we help our partners streamline asset inspections, elevate quality assurance, and enhance safety throughout the entire infrastructure lifecycle.
 
 
 
 Job Description:
 
 
 
 We are looking for a Computer Vision &amp; Robotics Engineer with a focus on 3D and Spatial data processing to join our dynamic team in Islamabad, Pakistan. Your role will be pivotal in developing solutions for SLAM (Simultaneous Localization and Mapping), point cloud registration, camera-LiDAR calibration, and developing deep learning techniques to images, 3D &amp; spatial Data.
 
 
 
 Key Responsibilities:
 
 
 
 <ul>
 <li>
 Design and implement algorithms for 3D point cloud processing, object recognition, and segmentation.
 </li>
 <li>
 Enhance and optimize SLAM algorithms for real-time application in mobile and static environments.
 </li>
 <li>
 Integrate and optimize AI technologies such as Open3D and 2D+3D inference models into our existing systems for improved 2D &amp; 3D data analysis and visualization.
 </li>
 <li>
 Collaborate with cross-functional teams in Pakistan and Hong Kong to integrate new features into SpatialSense.
 </li>
 <li>
 Conduct R&amp;D to explore new techniques in computer vision and machine learning that can improve infrastructure monitoring.
 </li>
 <li>
 Ensure the robustness and accuracy of our computer vision applications under various operational conditions
 </li>
 <li>
 Design and develop computer vision algorithms and models for various applications, including object detection, image classification, segmentation, and tracking.
 </li>
 <li>
 Optimize computer vision algorithms and models to leverage the power of NVIDIA hardware, such as GPUs and specialized accelerators (e.g., NVIDIA Tensor Cores).
 </li>
 <li>
 Collaborate with hardware engineers and architects to explore and utilize the latest features and capabilities of NVIDIA hardware platforms.
 </li>
 <li>
 Conduct performance profiling and benchmarking of computer vision algorithms on NVIDIA hardware to identify bottlenecks and optimize resource utilization.
 </li>
 <li>
 Implement and integrate computer vision algorithms into end-to-end systems, ensuring scalability, robustness, and real-time performance on NVIDIA hardware.
 </li>
 <li>
 Collaborate with researchers and academic partners to explore and evaluate state-of-the-art computer vision techniques and their application on NVIDIA hardware.
 
 
 </li>
 </ul>
 
 Qualifications:
 
 
 
 <ul>
 <li>
 1+ years of experience
 </li>
 <li>
 Bachelors, Masters or Ph.D. in Computer Science, Engineering, or related field with a specialization in computer vision.
 </li>
 <li>
 Strong background in 3D point cloud data processing, including experience with SLAM, point cloud registration, and camera-LiDAR calibration.
 </li>
 <li>
 Proficiency in applying deep learning methods to point cloud data.
 </li>
 <li>
 Strong expertise in deep learning frameworks, such as TensorFlow or PyTorch, and proficiency in programming languages like Python and C++.
 </li>
 <li>
 Extensive experience in optimizing computer vision algorithms for NVIDIA hardware, including GPUs and specialized accelerators (e.g., NVIDIA Tensor Cores).
 </li>
 <li>
 In-depth understanding of computer vision concepts, including image processing, feature extraction, object detection, and segmentation.
 </li>
 <li>
 Hands-on experience with NVIDIA CUDA and cuDNN libraries, as well as frameworks like TensorRT for efficient deployment on NVIDIA hardware.
 </li>
 <li>
 Knowledge of parallel computing principles and GPU programming techniques is a plus.
 </li>
 <li>
 Familiarity with computer vision libraries and tools, such as OpenCV, Dlib, or PCL.
 </li>
 <li>
 Strong problem-solving and analytical skills, with the ability to optimize algorithms for performance and accuracy on NVIDIA hardware.
 </li>
 <li>
 Experience with ROS software and methodologies.
 </li>
 <li>
 Proficient in programming languages such as C++, Python, or similar.
 </li>
 <li>
 Knowledge of machine learning and deep learning frameworks like TensorFlow or PyTorch.
 </li>
 <li>
 Excellent analytical, problem-solving, and communication skills.
 </li>
 <li>
 Team-oriented with an ability to work in a collaborative environment.
 
 
 </li>
 </ul>
 
 We Offer:
 
 
 
 <ul>
 <li>
 Opportunity to work with state-of-the-art technology in a rapidly evolving field.
 </li>
 <li>
 A collaborative environment where innovation is encouraged and rewarded.
 </li>
 <li>
 Competitive salary and share options.
 </li>
 <li>
 Fast track internal growth &amp; promotions for top candidates.
 
 
 </li>
 </ul>
 
 Join Us at Kodifly:
 
 If you&rsquo;re ready to apply your computer vision skills to tackle real-world challenges and drive technological advancement, Kodifly is looking for you. Apply now and begin your journey at the cutting edge of infrastructure technology! 🚀
 
 
</div>

Computer Vision & Robotics Engineer

<div>About Kodifly: 
Kodifly is an AI-first spatial intelligence company transforming infrastructure monitoring and management. Headquartered in Hong Kong Science Park, with an expanded presence in Pakistan and ongoing expansion into the Kingdom of Saudi Arabia, we are backed by HKAI Lab and the Nvidia Inception program. Our expertise spans 3D point cloud processing, digital twin creation, and LiDAR technology. We develop intelligent infrastructure solutions that enable cities and enterprises to operate with greater efficiency and insight. By integrating AI-powered analytics, digital twins, and real-time spatial intelligence, we help our partners streamline asset inspections, elevate quality assurance, and enhance safety throughout the entire infrastructure lifecycle. 
 
Job Description: 
We are looking for a Computer Vision &amp; Robotics Engineer with a focus on 3D and Spatial data processing to join our dynamic team in Islamabad, Pakistan. Your role will be pivotal in developing solutions for SLAM (Simultaneous Localization and Mapping), point cloud registration, camera-LiDAR calibration, and developing deep learning techniques to images, 3D &amp; spatial Data. 
 
Key Responsibilities:<ul><li>
Design and implement algorithms for 3D point cloud processing, object recognition, and segmentation.</li><li>
Enhance and optimize SLAM algorithms for real-time application in mobile and static environments.</li><li>
Integrate and optimize AI technologies such as Open3D and 2D+3D inference models into our existing systems for improved 2D &amp; 3D data analysis and visualization.</li><li>
Collaborate with cross-functional teams in Pakistan and Hong Kong to integrate new features into SpatialSense.</li><li>
Conduct R&amp;D to explore new techniques in computer vision and machine learning that can improve infrastructure monitoring.</li><li>
Ensure the robustness and accuracy of our computer vision applications under various operational conditions</li><li>
Design and develop computer vision algorithms and models for various applications, including object detection, image classification, segmentation, and tracking.</li><li>
Optimize computer vision algorithms and models to leverage the power of NVIDIA hardware, such as GPUs and specialized accelerators (e.g., NVIDIA Tensor Cores).</li><li>
Collaborate with hardware engineers and architects to explore and utilize the latest features and capabilities of NVIDIA hardware platforms.</li><li>
Conduct performance profiling and benchmarking of computer vision algorithms on NVIDIA hardware to identify bottlenecks and optimize resource utilization.</li><li>
Implement and integrate computer vision algorithms into end-to-end systems, ensuring scalability, robustness, and real-time performance on NVIDIA hardware.</li><li>
Collaborate with researchers and academic partners to explore and evaluate state-of-the-art computer vision techniques and their application on NVIDIA hardware.</li></ul>
Qualifications:<ul><li>
1+ years of experience
</li><li>Bachelors, Masters or Ph.D. in Computer Science, Engineering, or related field with a specialization in computer vision.</li><li>
Strong background in 3D point cloud data processing, including experience with SLAM, point cloud registration, and camera-LiDAR calibration.</li><li>
Proficiency in applying deep learning methods to point cloud data.</li><li>
Strong expertise in deep learning frameworks, such as TensorFlow or PyTorch, and proficiency in programming languages like Python and C++.</li><li>
Extensive experience in optimizing computer vision algorithms for NVIDIA hardware, including GPUs and specialized accelerators (e.g., NVIDIA Tensor Cores).</li><li>
In-depth understanding of computer vision concepts, including image processing, feature extraction, object detection, and segmentation.</li><li>
Hands-on experience with NVIDIA CUDA and cuDNN libraries, as well as frameworks like TensorRT for efficient deployment on NVIDIA hardware.</li><li>
Knowledge of parallel computing principles and GPU programming techniques is a plus.</li><li>
Familiarity with computer vision libraries and tools, such as OpenCV, Dlib, or PCL.</li><li>
Strong problem-solving and analytical skills, with the ability to optimize algorithms for performance and accuracy on NVIDIA hardware.</li><li>
Experience with ROS software and methodologies.</li><li>
Proficient in programming languages such as C++, Python, or similar.</li><li>
Knowledge of machine learning and deep learning frameworks like TensorFlow or PyTorch.</li><li>
Excellent analytical, problem-solving, and communication skills.</li><li>
Team-oriented with an ability to work in a collaborative environment.</li></ul> 
We Offer:<ul><li>
Opportunity to work with state-of-the-art technology in a rapidly evolving field.</li><li>
A collaborative environment where innovation is encouraged and rewarded.</li><li>
Competitive salary and share options.</li><li>
Fast track internal growth &amp; promotions for top candidates.</li></ul> 
Join Us at Kodifly: If you&rsquo;re ready to apply your computer vision skills to tackle real-world challenges and drive technological advancement, Kodifly is looking for you. Apply now and begin your journey at the cutting edge of infrastructure technology!</div>

Information Tech Consultants

<div>
 
 🌟 Senior Data Scientist SME /
 
 Data Science SME (Subject matter expert)
 
 🧠
 
 
 
 
 
 
 Location : London (Relocation required - Sponsorship will be provided)
 
 
 
 
 Experience : 9-12 years
 
 
 
 
 CTC- 40-45 lacs
 
 
 
 
 
 
 We are seeking a highly accomplished and results-oriented
 
 Senior Data Scientist Subject Matter Expert (SME)
 
 with over
 
 10 years of experience
 
 to lead our advanced analytics and AI initiatives. This is a pivotal role requiring deep technical mastery across large-scale Big Data technologies, multi-cloud environments, and cutting-edge specialized AI domains, including
 
 Generative AI, Computer Vision, and Natural Language Processing (NLP)
 
 .
 
 
 You will be the principal technical leader, driving strategy, setting standards, and delivering high-impact solutions that transform business outcomes.
 
 
 
 
 
 Key Responsibilities
 
 
 
 
 <ul>
 <li>
 
 AI/ML Strategy &amp; Architecture:
 
 Define the technical roadmap and architectural standards for deploying and scaling complex AI systems, particularly those involving
 
 Generative AI (GenAI)
 
 , large language models (
 
 LLMs
 
 ), and specialized models in Computer Vision and NLP.
 </li>
 <li>
 
 Big Data Engineering:
 
 Design, build, and optimize high-throughput, distributed data pipelines and features using
 
 Apache Spark (Scala)
 
 and
 
 Hive
 
 on massive datasets to support model training and inference.
 </li>
 <li>
 
 Cross-Cloud Execution:
 
 Lead the design and deployment of ML models and data infrastructure across multiple major cloud providers (
 
 AWS, Azure, and GCP
 
 ), ensuring portability, scalability, and cost efficiency.
 </li>
 <li>
 
 Specialized Model Development:
 
 Lead hands-on development, fine-tuning, and deployment of production-grade models in key specialized areas:
 </li>
 <li>
 
 Computer Vision:
 
 Developing and optimizing models for image recognition, object detection, and video analytics.
 </li>
 <li>
 
 NLP:
 
 Building sophisticated systems for sentiment analysis, entity extraction, semantic search, and RAG architectures leveraging LLMs.
 </li>
 <li>
 
 Generative AI:
 
 Exploring and implementing cutting-edge GenAI techniques for content creation, data augmentation, and innovative product features.
 </li>
 <li>
 
 SME Consulting &amp; Mentorship:
 
 Act as the internal authority and consultant, providing technical guidance, architectural review, and mentorship to junior data scientists and engineering teams.
 </li>
 <li>
 
 MLOps &amp; Governance:
 
 Establish best practices for MLOps, model monitoring, version control, and model risk governance in a multi-cloud production environment.
 </li>
 </ul>
 
 
 
 
 Required Skills and Expertise (10+ Years)
 
 
 
 
 
 
 
 
 1. Big Data and Cloud Mastery
 
 
 
 
 <ul>
 <li>
 
 Programming &amp; Big Data:
 
 10+ years of extensive, hands-on experience with
 
 Apache Spark
 
 , with strong preference for production development using
 
 Scala
 
 . Deep expertise with
 
 Apache Hive
 
 for data querying and management.
 </li>
 <li>
 
 Cloud Proficiency:
 
 Demonstrated expertise in deploying and managing data/ML workloads across
 
 at least two
 
 of the three major cloud platforms:
 
 AWS
 
 (Sagemaker, EMR, S3),
 
 Azure
 
 (Azure ML, Synapse Analytics), and
 
 GCP
 
 (Vertex AI, BigQuery).
 </li>
 <li>
 
 Data Architecture:
 
 Expert knowledge of distributed systems, data partitioning, optimization techniques, and data warehousing concepts in a cloud-native context.
 </li>
 </ul>
 
 
 
 
 2. Advanced AI/ML Specialization
 
 
 
 
 <ul>
 <li>
 
 Generative AI (GenAI) &amp; LLMs:
 
 Proven experience with the architecture and implementation of Generative AI solutions, including prompt engineering, fine-tuning, and deploying
 
 Large Language Models (LLMs)
 
 .
 </li>
 <li>
 
 Computer Vision:
 
 In-depth knowledge of deep learning frameworks (TensorFlow, PyTorch) and experience with Computer Vision tasks (e.g., CNNs, object detection models like YOLO).
 </li>
 <li>
 
 NLP:
 
 Expert practical experience in NLP techniques, including transformer models, embedding generation, and building complex text-based applications.
 </li>
 </ul>
 
 
 
 
 3. Leadership &amp; Soft Skills
 
 
 
 
 <ul>
 <li>
 
 Technical Leadership:
 
 Proven track record of leading complex data science projects from research to production deployment.
 </li>
 <li>
 
 Communication:
 
 Exceptional ability to translate complex technical findings into clear, strategic recommendations for technical and executive audiences.
 </li>
 <li>
 
 Mentorship:
 
 Experience mentoring and training senior engineers and data scientists.
 </li>
 </ul>
 
 
 
 
 Education and Certification
 
 
 
 
 <ul>
 <li>
 Master&rsquo;s or Ph.D. in Computer Science, Data Science, Engineering, or a highly quantitative field.
 </li>
 <li>
 Relevant professional cloud certifications (e.g., AWS Certified Machine Learning Specialty, Google Cloud Professional Data Engineer) are highly desirable.
 </li>
 </ul>
 
 
</div>

Senior Data Scientist SME & AI

ZZ-Technologies, islamabad

Job Summary:We are seeking a skilled and innovative AI Engineer to design, develop, and implement AI-driven solutions to support our products and operations. The ideal candidate will have strong experience in machine learning, deep learning, data processing, and software engineering.Responsibilities:LLM Development &amp; Fine-Tuning<ul><li>Fine-tune and adapt state-of-the-art LLMs (e.g., LLaMA, GPT, Mistral, Gemma) for domain-specific tasks.</li><li>Implement advanced training strategies including LoRA, QLoRA, PEFT, and parameter-efficient adaptation methods.</li><li>Manage dataset preprocessing, curation, augmentation, and experiment tracking.</li><li>Optimize models for quality, latency, and memory efficiency across training and inference.</li></ul>GPU-Based Training &amp; Optimization<ul><li>Run and optimize training pipelines across multi-GPU environments (NVIDIA A100, H100, RTX, etc.).</li><li>Implement mixed-precision training, quantization, and distributed training (e.g., DeepSpeed, FSDP, DDP).</li><li>Monitor GPU performance, memory usage, and throughput to ensure optimal resource utilization.</li></ul>Model Serving &amp; Infrastructure<ul><li>Deploy LLMs using modern serving frameworks (vLLM, TensorRT-LLM, HuggingFace TGI, Triton).</li><li>Develop scalable inference architectures using Docker, Kubernetes, and cloud GPU infrastructure.</li><li>Build end-to-end pipelines for continuous training, evaluation, and automated deployment.</li></ul>Research, Experimentation &amp; Innovation<ul><li>Stay updated with cutting-edge research in transformers, embeddings, RAG, PEFT, and efficient fine-tuning.</li><li>Run experiments, benchmark models, and propose architectural or training improvements.</li><li>Prototype new capabilities and develop internal best practices for LLM workflows.</li></ul>Collaboration &amp; Leadership<ul><li>Work closely with product, engineering, and data teams to translate requirements into model behaviors.</li><li>Mentor junior engineers and contribute to technical design reviews and architecture decisions.</li><li>Communicate model performance, limitations, and trade-offs clearly to stakeholders</li></ul>Requirements:<ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, AI, Data Science, Engineering, or a related field.</li><li>Strong coding skills in Python (TensorFlow, PyTorch, Scikit-learn, OpenCV, etc.).</li><li>Solid understanding of machine learning algorithms, deep learning, NLP, or computer vision.</li><li>Experience with cloud platforms (AWS, Azure, GCP) is a plus.</li><li>Familiarity with MLOps tools (Docker, Kubernetes, MLflow, etc.) preferred.</li><li>Strong problem-solving skills and ability to work on complex, data-driven problems.</li><li>Ability to work collaboratively in a team-oriented environment.</li></ul>Preferred Qualifications:<ul><li>Experience deploying AI models in production environments.</li><li>Knowledge of LLMs (Large Language Models) and prompt engineering.</li><li>Background in data engineering or backend development.</li><li>Research experience or publications in AI/ML fields.</li></ul>You can share your cv on whtsapp as well. 03355707047Job Type: Full-timePay: Rs200,000.00 - Rs500,000.00 per monthWork Location: In person

Senior AI Engineer

Jtechinc.

About usJTech Projects is an EPC firm focusing on providing top quality EPC and project management services to pipeline and oil and gas industry in PakistanPosition: Project Engineer (Part-time) &mdash; Fresh GraduateWe are looking for entry level Project Engineers to join our team on our clients&rsquo; cross-country pipeline projects. This is an exciting opportunity to start your career as Project Engineer working on mega oil and gas and pipeline projects in Pakistan.Job Details:Remote, Working from homeHours: 9 am - 1 pm PSTMust have a reliable computer and uninterrupted internet connectionJob Function:&middot; Assist Lead Project Engineer in preparation of engineering deliverables&middot; Perform engineering calculations related to pipeline design and engineering using design software or spreadsheets&middot; Perform stress analysis on buried pipelines&middot; Create pipeline engineering drawings including Alignment Sheets, Crossing Drawings etc.&middot; Prepare material requisitions including bill of material; perform bid evaluations&middot; Prepare engineering work packages to support construction award&middot; Coordinate with other team members in support of project completion&middot; Other tasks as per Project scope and requirements.Qualifications:&middot; Fresh Graduates or few years experience. Bachelor of Engineering (B.E.) Degree in Mechanical Engineering&middot; High aptitude towards learning pipeline engineering knowledge and its application&middot; Excellent time management and organizational skills&middot; Ability to take responsibility&middot; Provide attention to detailJob Types: Part-time, FresherPay: From Rs20,000.00 per monthWork Location: Remote

Project Engineer - Part time

Cybernet Internet Services Pvt. Ltd.

Job descriptionCompany: Cyber Internet Services (Pvt.) LimitedPosition: Network EngineerDepartment: Network Operation CenterJob Location: Islamabad (onsite)Overall Scope:We are looking for a Network Engineer who will be responsible for managing and maintaining our company's network systems. The role includes configuring and troubleshooting network devices (Cisco, Juniper), setting up and supporting routing protocols like BGP and OSPF, and ensuring smooth day-to-day network operations. You will monitor network performance, respond quickly to outages, and help improve overall stability and efficiency. The candidate should be comfortable working with both LAN and WAN environments and be proactive in solving technical issues.Key Responsibilities:&middot; Managing Network Monitoring tools and Management systems<ul><li>Hands on in Managing/Configuring Cisco, Juniper, and L2 &amp; L3 devices.</li><li>Configuring/managing Routing Protocols like BGP, OSPF and Switching i.e., Dot1q, Ether Channel, STP.</li><li>Participates in the ongoing support and maintenance of existing WAN and LAN infrastructure.</li><li>Install, configure, troubleshoot, and maintain Network Routers/Switches.</li><li>Respond promptly during outages and recommend solutions for performance issues.</li><li>Managing/Configuring Cisco, Juniper, and L2 &amp; L3 devices.</li></ul>Requirements:<ul><li>2 years of experience in relevant field.</li><li>Master&rsquo;s or bachelor&rsquo;s degree in computer science or engineering.</li><li>CCNP or equivalent (certified) is preferred.</li><li>Background in ISP will be preferred.</li><li>Strong knowledge of MPLS, BGP, OSPF, LAN, WAN.</li><li>Good communication skills.</li></ul>How to Apply:Ready to take the first step towards an exciting sales career? Send your resume to careers@cyber.net.pk with &quot; Network Engineer - ISB &quot; as the subject line.Why Cybernet?Join a team where growth and opportunity meet, fostering both personal and professional development.Industry<ul><li>Information Technology &amp; Services</li></ul>Employment TypeFull-timeJob Type: Full-timeWork Location: In person

Network Engineer

Explore 251+ Computer vision engineer in Islamabad this January. Find roles across top companies and apply now to boost your career.

251 computer vision engineer jobs IN Islamabad

COMPUTER VISION ENGINEER

Computer Vision & Robotics Engineer

Computer Vision & Robotics Engineer

Senior Data Scientist SME & AI

Senior AI Engineer

Project Engineer - Part time

Network Engineer