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computer vision & robotics engineer Jobs in Islamabad

computer vision & robotics engineer

deep learning engineer

Centrox AI

Location: Gulberg Greens, Islamabad Job Type: Full-timeJob SummaryWe are hiring an AI Engineer to design, build, and deploy machine learning solutions for real-world applications. The ideal candidate should be confident with ML/DL models, data pipelines, and production deployment practices.Key Responsibilities<ul><li>Develop and optimize machine learning and deep learning models.</li><li>Perform data preprocessing, feature engineering, and exploratory data analysis.</li><li>Deploy AI models using APIs, cloud services, or containerized environments.</li><li>Build scalable AI pipelines and automate workflows (MLOps).</li><li>Work on NLP, computer vision, or LLM-based systems depending on project needs.</li><li>Collaborate with cross-functional teams (DevOps, Backend, Product).</li><li>Prepare documentation, reports, and model performance evaluations.</li></ul>Required Skills &amp; ToolsTechnical Skills<ul><li>Strong understanding of Machine Learning algorithms &amp; Deep Learning concepts.</li><li>Hands-on experience with: Python, TensorFlow / PyTorch, Scikit-learn, Pandas, NumPy</li><li>Experience with NLP, Computer Vision, or LLMs (any specialization).</li><li>Practical knowledge of data pipelines, model training, fine-tuning, and evaluation.</li></ul>Tools &amp; Technologies<ul><li>Jupyter, Google Colab, or VS Code</li><li>Git / GitHub / GitLab</li><li>Docker (basic knowledge required)</li><li>Cloud platforms (AWS, Azure, GCP &ndash; basic experience is enough)</li><li>API Development (FastAPI or Flask)</li><li>Database basics (SQL, NoSQL)</li></ul>Experience Required<ul><li>1&ndash;3 years of experience in AI/ML Engineering</li><li>Strong internship + project portfolio (for fresh graduates)</li><li>Candidates with Kaggle, GitHub projects, hackathons, or published models/tools will be preferred.</li></ul>Preferred Qualifications <ul><li>Knowledge of MLOps tools (MLflow, DVC, Kubeflow).</li><li>Experience with LLM fine-tuning, embeddings, RAG pipelines, or vector databases.</li><li>Understanding of container orchestration (Kubernetes).</li><li>Any AI certifications (Coursera, Google, Udacity, etc.).</li></ul>What We Offer<ul><li>Competitive salary</li><li>Exposure to large-scale AI systems</li><li>Fast career growth opportunities</li><li>Mentorship from senior engineers</li><li>Friendly and learning-driven work environment</li></ul>Job Type: Full-timeApplication Question(s):<ul><li>How soon you can join?</li><li>What would be your salary expectations for this role?</li></ul>Experience:<ul><li>AI Related: 1 year (Preferred)</li></ul>Work Location: In person

AI Engineer

NESL-IT (SMC PVT) LTD

Location: Onsite &mdash; Islamabad (I-10/3) Employment Type: Full-time (6 pm to 2 am) We are seeking a skilled and highly motivated AI/ML Engineer with 4+ years of hands-on experience in designing, developing, deploying, and optimizing machine learning models and AI-driven solutions. The ideal candidate will have a strong background in ML algorithms, deep learning frameworks, data engineering, and model deployment in production environments.Key Responsibilities<ul><li>Design, develop, and deploy machine learning and deep learning models for real-world applications.</li><li>Build scalable data pipelines, preprocess datasets, and perform feature engineering.</li><li>Develop, fine-tune, and evaluate models using frameworks such as TensorFlow, PyTorch, Scikit-learn.</li><li>Work closely with data engineers, software engineers, and product teams to translate business needs into ML solutions.</li><li>Deploy and monitor models using MLOps tools (Docker, Kubernetes, MLflow, AWS/GCP/Azure services).</li><li>Conduct research on new algorithms, technologies, and tools to enhance model accuracy and performance.</li><li>Build REST APIs or microservices to integrate models into production systems.</li><li>Analyze model performance, optimize pipelines, and troubleshoot issues in production.</li><li>Create thorough technical documentation and communicate findings effectively.</li></ul>Required Skills &amp; Qualifications<ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, AI, Data Science, Software Engineering, or related field.</li><li>4+ years of experience in Machine Learning, Artificial Intelligence, or Data Science.</li><li>Strong understanding of ML concepts: supervised/unsupervised learning, NLP, computer vision, time-series, etc.</li><li>Hands-on experience with Python, including NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch.</li><li>Experience with MLOps, CI/CD pipelines, and cloud platforms (AWS/GCP/Azure).</li><li>Solid understanding of data preprocessing, model evaluation, tuning, and validation techniques.</li><li>Strong problem-solving skills and the ability to work independently in a fast-paced environment.</li><li>Experience with large language models (LLMs) and prompt engineering is a plus.</li><li>Knowledge of big data tools (Spark, Hadoop) is a plus.</li></ul>Job Type: Full-timePay: Rs150,000.00 - Rs200,000.00 per monthExperience:<ul><li>B2B Sales: 5 years (Required)</li></ul>Work Location: In person

AI/ML 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>

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 - Rs400,000.00 per monthWork Location: In person

Senior AI Engineer

<div>
 
 About The Role
 
 
 
 Junior-to-mid level role designed for someone with 1&ndash;2 years of hands-on experience who is excited to build production-grade LLM features end-to-end. You will work closely with senior AI engineers and the Head of AI at AIO, owning real product capabilities such as smart assistants, content generation tools, and knowledge-retrieval systems. This is a full-stack AI engineering role: you will experience everything from prompt design and model fine-tuning to building FastAPI backends and deploying scalable inference services. Expect to ship production code in your first month.
 
 
 
 What will be your responsibilities?
 
 
 
 <ul>
 <li>
 Fine-tune and align open-source LLMs (LLaMA-3, Mistral, Gemma, Phi-3, Qwen, etc.) using Hugging Face Transformers, PEFT (LoRA/QLoRA), TRL, and Unsloth/Axolotl on cloud or consumer GPUs.
 </li>
 <li>
 Design, build, and maintain Retrieval-Augmented Generation (RAG) pipelines using LangChain/LangGraph or LlamaIndex + vector stores (Pinecone, Weaviate, Qdrant, Chroma).
 </li>
 <li>
 Develop production-ready backends with FastAPI (REST + WebSockets), including asynchronous processing, background tasks (Celery/Redis), rate-limiting, and authentication.
 </li>
 <li>
 Implement advanced prompting (chain-of-thought, tree-of-thought, ReAct), tool calling / function calling, and lightweight agent workflows.
 </li>
 <li>
 Create robust data ingestion and preprocessing pipelines (cleaning, chunking, metadata enrichment, deduplication) for both training and retrieval.
 </li>
 <li>
 Run standardized and custom evaluations using LM-Eval-Harness, DeepEval, or simple benchmarks; track accuracy, latency, token cost, and user feedback metrics.
 </li>
 <li>
 Deploy and serve models with vLLM, Text Generation Inference (TGI), Ollama, or Hugging Face Inference Endpoints. Apply 4-bit / 8-bit quantization (GPTQ, AWQ, bitsandbytes) for cost and speed.
 </li>
 <li>
 Build monitoring and observability stacks with LangSmith, Helicone, Phoenix, or OpenTelemetry; debug and resolve production issues (timeouts, hallucinations, drift).
 </li>
 <li>
 Use Weights &amp; Biases, MLflow, or Comet for experiment tracking; maintain clean Git workflows, PR reviews, and CI/CD via GitHub Actions.
 </li>
 <li>
 Stay current with the latest open-source models and papers (ArXiv, Hugging Face daily papers) and present one actionable insight per sprint.
 
 
 </li>
 </ul>
 
 What are we looking for, and what does it require to be the right fit for this role?
 
 
 
 <ul>
 <li>
 Bachelor's or Master's in Computer Science, AI, Data Science, or equivalent practical experience.
 </li>
 <li>
 Strong Python proficiency and daily hands-on experience with PyTorch + Hugging Face Transformers ecosystem.
 </li>
 <li>
 Fine-tune and align LLMs (LLaMA-3, Mistral, Gemma, Phi-3, Qwen, etc.) using Hugging Face Transformers, PEFT (LoRA/QLoRA).
 </li>
 <li>
 Design, build, and maintain Retrieval-Augmented Generation (RAG) pipelines using LangChain/LangGraph + vector stores (Pinecone, Qdrant, Chroma).
 </li>
 <li>
 Develop production-ready backends with FastAPI (REST).
 </li>
 <li>
 Implement advanced prompting (chain-of-thought, tree-of-thought, ReAct), tool calling/function calling, and lightweight agent workflows.
 </li>
 <li>
 Run standardized and custom evaluations using LM-Eval-Harness, DeepEval, or simple benchmarks; track accuracy, latency, token cost, and user feedback metrics.
 </li>
 <li>
 Deploy and serve models with vLLM, Ollama, or Hugging Face Inference Endpoints. Apply 4-bit / 8-bit quantization (GPTQ, AWQ, bitsandbytes) for cost and speed.
 </li>
 <li>
 Ability to read research papers and quickly turn ideas into working prototypes.
 </li>
 <li>
 Excellent communication skills and a genuine desire to learn rapidly in a supportive, fast-moving team.
 
 
 </li>
 </ul>
 
 
 Nice to Haves
 
 
 
 
 <ul>
 <li>
 Use Weights &amp; Biases, MLflow, or Comet for experiment tracking; maintain clean Git workflows, PR reviews, and CI/CD via GitHub Actions.
 </li>
 <li>
 Comfortable with Git, Docker, Linux command line, and basic shell scripting.
 
 
 </li>
 </ul>
 
 Why Join AIO?
 
 
 
 Our mission is to revolutionize the US restaurant industry by providing a comprehensive and fully integrated solution that empowers restaurant owners to efficiently manage all aspects of their business. Our platform combines our patented AI technology with unparalleled customer support to help owners increase revenue, reduce costs, and improve their overall profit margins.
 
 
 We believe that restaurants should be able to focus on delivering exceptional dining experiences to their customers, without the added stress of managing complex and disparate systems. That's why we offer an All-In-One super app platform for all their needs, from front-of-the-house operations like ordering, payment, marketing and rewards, to back-of-the-house management like inventory, staff, and financials.
 
 
 We are laser focused on becoming a significant player in the $55 billion restaurant tech SaaS market. You will be a part of a world class, up-and-coming Silicon Valley funded startup.
</div>

AI Engineer I

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

Explore 340+ Deep learning engineer in Islamabad this December. Find roles across top companies and apply now to boost your career.

340 deep learning engineer jobs IN Islamabad

AI Engineer

AI/ML Engineer

Computer Vision & Robotics Engineer

Computer Vision & Robotics Engineer

Senior AI Engineer

AI Engineer I

Drone AI Engineer