data analyst

senior ai engineer

ai data scientist

ai/ml engineer

data scientist

data engineer

Datamatics Global Services Ltd

<div><h2 class="jobSectionHeader">Job Title: Data Engineer (2 Positions)</h2>
Experience: 6&ndash;7 Years 
Location: Remote / Hybrid 
Employment Type: Full-Time<h3 class="jobSectionHeader">
Job Summary</h3>
We are seeking talented and experienced Data Engineers with 6&ndash;7 years of hands-on experience in designing, developing, and maintaining large-scale data solutions. The ideal candidates will have a strong background in building robust ETL frameworks, complex data pipelines, and working with big data technologies. This role requires a blend of technical expertise, problem-solving skills, and the ability to work collaboratively with cross-functional teams to deliver reliable and scalable data systems supporting analytics and business intelligence.<h3 class="jobSectionHeader">
Key Responsibilities</h3><ul><li>
Design, develop, and maintain scalable ETL/ELT frameworks and complex data pipelines.</li><li>
Build and optimize data processing jobs using big data technologies and modern data frameworks.</li><li>
Ensure data accuracy, consistency, and reliability across multiple data platforms.</li><li>
Collaborate with data scientists, analysts, and business stakeholders to transform business requirements into data-driven technical solutions.</li><li>
Troubleshoot, debug, and optimize existing workflows for performance and scalability.</li><li>
Implement best practices for data governance, version control, and performance monitoring.</li></ul><h3 class="jobSectionHeader">
Required Skills &amp; Qualifications</h3><ul><li>
6&ndash;7 years of hands-on experience in data engineering and ETL design.</li><li>
Proficiency in SQL and strong experience with one or more ETL tools such as Talend, Informatica, or dbt.</li><li>
Expertise in big data technologies including Apache Spark, Hadoop, and Kafka.</li><li>
Solid programming skills in Python or Scala.</li><li>
Strong understanding of data modeling, data integration, and data quality management.</li><li>
Experience with cloud data platforms (AWS, Azure, or GCP) is a strong plus.</li><li>
Excellent problem-solving, analytical, and communication skills.</li></ul><h3 class="jobSectionHeader">
Preferred Qualifications</h3><ul><li>
Experience working in agile data environments.</li><li>
Exposure to data warehousing or data lake architectures.</li><li>
Familiarity with DevOps practices and CI/CD for data pipelines.</li></ul>
lhr1NSVLnW</div>

Data Engineer

Cloudelligent

<div>Position Title: Sr. AWS Data Engineer 
Job Timings: 8:00 AM &ndash; 5:00 PM CST (6:00 PM- 3:00 AM PKT) 
Location: Islamabad 
 
About Cloudelligent 
 
Cloudelligent is Cloud-native consultancy and AWS Advanced consulting partner! We specialize in providing bespoke cloud solutions to Startups &amp; SMBs. Being a next-gen cloud service provider, Cloudelligent helps businesses to make the most out of their cloud investment. We have an international footprint with a diverse team of domain experts, and we are customer obsessed. 
 
Job Objective 
 
We are seeking an experienced Sr. Data Engineer with a strong background in data engineering, database optimization, and cloud-based data solutions, particularly on AWS. The ideal candidate will have hands-on experience with both SQL and NoSQL databases and be proficient in migrating, managing, and modernizing data platforms. You should be skilled in designing and maintaining scalable, secure, and high-performance data infrastructure in the cloud. 
 
Responsibilities<ul><li>
Design, implement, and manage cloud-based data infrastructure using Amazon RDS, Aurora, and EC2-hosted databases.</li><li>
Administer and optimize PostgreSQL, MySQL, and Oracle databases, ensuring high availability, performance, and cost-efficiency.</li><li>
Perform data migrations and transformations using AWS Database Migration Service (DMS) and other tools.</li><li>
Collaborate with data architects, engineers, and DevOps teams to deliver reliable and scalable data solutions.</li><li>
Support developers by analyzing and optimizing SQL queries and data workflows for performance and efficiency.</li><li>
Monitor and troubleshoot data issues, ensuring availability, security, and compliance.</li><li>
Implement data automation, infrastructure as code (IaC), and CI/CD pipelines for database and data pipeline deployments.</li><li>
Ensure data security, encryption, and compliance with industry best practices and internal policies.</li><li>
Maintain comprehensive documentation on data architecture, processes, and procedures.</li><li>
Stay up to date with emerging AWS features, data engineering tools, and industry best practices.</li></ul> 

Requirements<ul><li>
Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Information Technology, or a related field.</li><li>
5+ years of experience in data engineering or database engineering, including hands-on experience with databases on AWS.</li><li>
Strong experience with AWS data services such as RDS, Aurora, and DMS.</li><li>
Proficient in performance tuning, indexing strategies, partitioning, and query optimization.</li><li>
Strong scripting and automation experience using Python, Bash, or similar tools.</li><li>
Experience with infrastructure as code tools like Terraform or CloudFormation.</li><li>
Solid understanding of backup strategies, monitoring tools, and security best practices.</li><li>
Familiarity with multi-account AWS environments and cross-region replication.</li><li>
Excellent communication and problem-solving skills.</li></ul> 

Highly Desirable<ul><li>
AWS Certification (e.g., AWS Certified Data Engineer &ndash; Associate, AWS Certified Solutions Architect &ndash; Associate).</li><li>
Experience with large-scale on-prem to AWS data migrations.</li><li>
Familiarity with data governance, compliance, and auditing tools.</li><li>
Exposure to data lake architecture and AWS services like Glue, Athena, or Kinesis is a plus.</li></ul>
TvhPiCaQjI</div>

Sr. AWS Data Engineer

VIION Technology (Viper Group)

Viper Group is looking for Senior IT Infrastructure and Data Center Engineer to manage customer Data Center operations, servers, backups, DR/BCP, network infrastructure, firewalls, and day-to-day troubleshooting across head office (Islamabad) and regional sites (Lahore &amp; Karachi).The role includes one-time implementation tasks and ongoing maintenance activities, with full responsibility for documentation, monitoring, reporting, and SLA-based service delivery.Key Responsibilities:Data Center &amp; Server Management<ul><li>Review and enhance server configurations, racks, backups, virtualization and patch management.</li><li>Deploy or revamp servers, systems and virtual environments (Head Office, DR site, cloud or regional offices).</li><li>Perform preventive maintenance of servers, systems, laptops, UPS, switches and data center assets on quarterly basis.</li><li>Manage backups (including LTO), test restore procedures, and maintain security &amp; activity logs.</li><li>Daily troubleshooting and installation support for servers, systems, laptops and related assets.</li><li>Maintain and update infrastructure documentation, inventory records and BCP/DR logs.</li></ul>Network Infrastructure &amp; Security<ul><li>Manage LAN/WAN/VLAN, routing, secure VPN connectivity, internet links and ISP coordination.</li><li>Configure, maintain and monitor Firewalls, Access Points, switches, endpoint protection and security controls.</li><li>Perform monthly and quarterly network health checks, downtime logs, and configuration backups.</li><li>Support DR drills, continuity plans and real-time incident handling.</li><li>Prepare monthly or quarterly technical reports as per customer SLA.</li></ul>Qualifications<ul><li>Bachelor&rsquo;s in IT/Computer Science or equivalent.</li><li>Preferred Certifications (Not mandatory):</li><li>CCNA/CCNP</li><li>MCSA/MCSE</li><li>VMware or Firewall certifications</li><li>ITIL awareness is a plus</li></ul>Minimum 3 years of experience in Data Center + Network Infrastructure roles.<ul><li>Hands-on experience with:</li><li>Windows Server, Active Directory, DHCP/DNS</li><li>Virtualization platforms (VMware/Hyper-V/Proxmox)</li><li>Firewalls (Fortinet/Sophos/Palo Alto/Cisco)</li><li>DR/BCP, backups, logs, and preventive maintenance</li><li>Strong documentation and troubleshooting skills.</li><li>Ability to travel for periodic work</li></ul>This is an onsite job at Islamabad with regular 9:00AM to 6:00PM timings (Monday to Friday)Job Types: Full-time, Internship, FresherWork Location: In person

IT Infrastructure & Data Center 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

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

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

<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>

Explore 436+ Data engineer in Islamabad this January. Find roles across top companies and apply now to boost your career.

436 data engineer jobs IN Islamabad

Data Engineer

Sr. AWS Data Engineer

IT Infrastructure & Data Center Engineer

Computer Vision & Robotics Engineer

Lead AI/ML Engineer

Senior Data Scientist SME & AI

Computer Vision & Robotics Engineer