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ai engineer (mid-level) Jobs in Islamabad

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Datamatics Global Services Ltd

<div><h1 class="jobSectionHeader">Job Description &ndash; AI Engineer (Islamabad Candidates Only)</h1>
Job Title: AI Engineer 
Job Grade: Manager 
Division: Information Technology 
Department: IT Development 
Location: Islamabad (On-site) 
Line Manager: Senior Software Engineer / AI Engineering Lead 
 
Note : Please read the JD carefully before Applying<h2 class="jobSectionHeader"> 
Position Summary</h2>
The AI Engineer will be responsible for designing, developing, and deploying AI-powered applications and intelligent systems that integrate seamlessly with Android, iOS, and web platforms. This role focuses on applied machine learning, automation, and data-driven enhancements to elevate customer experience and operational efficiency. The ideal candidate will possess strong proficiency in mobile development, backend engineering with Python, and web technologies, with the ability to build, test, and scale AI-driven solutions.<h2 class="jobSectionHeader"> 
Duties and Responsibilities</h2><ul><li>
Design, develop, and maintain AI-driven functionalities for mobile (Android/iOS) and web platforms.</li><li>
Collaborate with mobile, backend, UX/UI, product, and data teams to integrate AI modules such as recommendation engines, chatbots, fraud detection, and personalization systems.</li><li>
Develop machine learning models, perform data preprocessing, and deploy models using Python frameworks (TensorFlow, PyTorch, Scikit-learn).</li><li>
Write modular, maintainable, and scalable code using industry best practices (SOLID, Clean Architecture).</li><li>
Build APIs and microservices for AI features using Flask/FastAPI or Node.js.</li><li>
Work closely with UX/UI and product counterparts to translate data insights into intelligent user experiences.</li><li>
Conduct A/B tests, performance optimization, and real-world validation of AI models.</li><li>
Integrate AI components with cloud platforms such as AWS, GCP, or Azure, ensuring compliance with security and governance standards.</li><li>
Participate actively in code reviews, knowledge-sharing sessions, and agile ceremonies.</li><li>
Stay updated with emerging AI, ML, and GenAI tools, recommending innovative solutions for Easypaisa&rsquo;s digital products.</li><li>
Demonstrate Behaviors&mdash;Be Respectful, Keep Promises, Always Explore, Create Together&mdash;across all work activities.</li></ul><h2 class="jobSectionHeader"> 
Knowledge and Experience</h2><h3 class="jobSectionHeader">
Education:</h3><ul><li>
BS/MS in Computer Science, Artificial Intelligence, Data Science, or a related field.</li></ul><h3 class="jobSectionHeader">
Experience:</h3><ul><li>
Minimum 4+ years in software development with hands-on exposure to AI/ML projects.</li><li>
Proven experience with Android/iOS development, Python, and modern web technologies</li></ul><h2 class="jobSectionHeader"> 
Behavioral Skills:</h2><ul><li>
Effective Communication</li><li>
Teamwork &amp; Collaboration</li><li>
Decision Making</li><li>
Accountability</li><li>
Learning Agility</li><li>
Analytical Problem Solving</li><li>
Innovation &amp; Creativity</li></ul><h2 class="jobSectionHeader"> 
Technical Competencies:</h2><ul><li>
AI/ML Development: Flowise, PyTorch, OpenAI APIs, N8N</li><li>
Programming: Python, Swift, Kotlin, JavaScript/TypeScript</li><li>
Cloud &amp; DevOps: AWS/GCP, Docker, CI/CD</li><li>
Version Control: Git</li><li>
Data Engineering: Pandas, NumPy, SQL, data pipeline development</li><li>
Mobile &amp; Web Development: Android Studio, Xcode, React/Next.js, Flutter (optional)</li><li>
Backend &amp; APIs: REST, GraphQL, Flask/FastAPI, Node.js</li><li>
Security &amp; Compliance: Secure coding, data privacy frameworks</li></ul>
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AI Engineer

Webrange Solutions

Webrange Solutions is a dynamic software development company that prides itself on it's team of talented and dedicated employees. We believe that our success is built on the skills and passion of our people. We are committed to providing our team with challenging and rewarding projects, ongoing training and development opportunities, and a collaborative and supportive work environment. We value creativity, innovation, and the ability to think outside the box, and we recognise and reward hard work and dedication.We are looking for passionate AI Engineer to join our team and gain hands-on experience in cutting-edge AI research and development. Join our team and be a part of creating cutting-edge technology that makes a difference in the world.Key Responsibilities<ul><li>Assist in designing, developing, and fine-tuning NLP and generative AI models (LLMs, embeddings, transformers).</li><li>Work with text datasets to preprocess, clean, tokenize, and analyze data for NLP applications.</li><li>Integrate OpenAI, Azure OpenAI, or similar LLM-based APIs into web and mobile applications.</li><li>Build and optimize prompt engineering workflows, embeddings-based search, RAG (Retrieval-Augmented Generation), and conversational AI systems.</li><li>Contribute to deploying NLP/LLM models, monitoring their performance, and improving response quality.</li><li>Research emerging AI and LLM technologies (OpenAI, Anthropic, Meta, Google, etc.) and present insights to the team.</li><li>Collaborate with developers and product teams to design intelligent AI-driven features and prototypes.</li></ul>Requirements<ul><li>Currently pursuing or recently completed a degree in Computer Science, Artificial Intelligence, Data Science, or a related field.</li><li>Solid understanding of NLP concepts: tokenization, attention mechanisms, transformers, embeddings, and text classification/generation.</li><li>Proficiency in Python and NLP/AI libraries such as HuggingFace Transformers, spaCy, NLTK, LangChain, or LlamaIndex.</li><li>Experience integrating OpenAI or Azure OpenAI APIs (ChatCompletions, Assistants, Embeddings, Fine-Tuning).</li><li>Familiarity with RAG pipelines, vector databases (Pinecone, FAISS, Weaviate, Chroma), and prompt engineering best practices.</li><li>Understanding of model evaluation techniques for NLP: BLEU, ROUGE, perplexity, embedding similarity, etc.</li><li>Experience with SQL/NoSQL databases is a plus.</li><li>Knowledge of cloud platforms (AWS, GCP, or Azure) and deploying AI workloads is a bonus.</li><li>Strong problem-solving skills and a passion for NLP and generative AI research.</li><li>Ability to work independently and collaboratively within cross-functional teams.</li></ul>Job Type: Full-timePay: Rs80,000.00 - Rs150,000.00 per monthWork Location: In person

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

ZZ-Technologies, islamabad

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

Drone AI Engineer

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

HyperSoft Tech

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

AI Engineer (Mid-Level)

Creativelogicx

We are seeking an experienced developer to build and integrate AI-powered voice agents using Twilio, Vapi. The ideal candidate should have strong knowledge of conversational AI workflows, call routing, and API integrations.*Responsibilities:** Build and optimize AI-based voice agent workflows* Integrate Twilio Voice, Studio, and Programmable APIs* Connect voice agents with CRM systems (e.g., GHL, HubSpot, etc.)* Handle call flows, scheduling, and real-time data updates* Troubleshoot call quality, routing, and automation issues*Requirements:** Strong experience with *Vapi AI Voice Agent** Hands-on experience with *AI voice assistants* (GPT, VAPI, or similar)* Solid understanding of APIs, webhooks, and backend development* Ability to work independently and deliver fast, reliable solutionsJob Type: Full-timeWork Location: In person

AI Engineer (Vapi AI Voice)

Explore 254+ Ai engineer in Islamabad this December. Find roles across top companies and apply now to boost your career.

254 ai engineer jobs IN Islamabad

AI Engineer

AI Engineer

AI Engineer

Drone AI Engineer

Senior AI Engineer

AI Engineer (Mid-Level)

AI Engineer (Vapi AI Voice)