software engineer Jobs in Product Design Jobs In Product Design Jobs In Karachi Pakistan

software engineer

qa engineer Jobs in Product Design Jobs In Product Design Jobs In Karachi Pakistan

qa engineer

civil engineer Jobs in Product Design Jobs In Product Design Jobs In Karachi Pakistan

civil engineer

area engineer Jobs in Product Design Jobs In Product Design Jobs In Karachi Pakistan

area engineer

assistant engineer works Jobs in Product Design Jobs In Product Design Jobs In Karachi Pakistan

assistant engineer works

ai engineer

digital.enterprises

<div>
 AI Engineer Build the Real-Time Intelligence of ADAPT
 
 
 
 About Digital.enterprises
 
 
 
 digital.enterprises is shaping the future of the energy sector. We help companies run smarter integrating people, data, and technology to create intelligent, adaptive, and human-centred operations. Based in Doha, the gas capital of the world, we fuse deep industry expertise with cutting-edge digital thinking to transform how energy companies work, connect, and grow. If youre driven by impact, speed, and purpose not titles or bureaucracy youll fit right in.
 
 
 
 About ADAPT
 
 
 
 ADAPT is our flagship platform a real-time digital mesh connecting the energy sectors Maintenance, Repair &amp; Operations (MRO) ecosystem. Instead of long procurement cycles, ADAPT matches buyer demand with supplier capability instantly, using live data and AI to surface qualified options with governance, auditability, and human-in-the-loop controls.
 
 
 
 About The Role
 
 
 
 Were seeking an experienced AI Engineer to architect and implement the intelligent layer powering ADAPT. Youll build production-grade LLM applications that disintermediate RFQs through real-time matching, provide real-time decision support, and deliver actionable insights to both buyers and suppliers. This role requires deep technical expertise in modern AI frameworks, enterprise-grade system design, and the ability to translate complex business requirements into reliable AI solutions.
 
 
 Key Responsibilities
 
 
 AI Application Development
 
 
 <ul>
 <li>
 Design and deploy production LLM applications (LangChain/LangGraph) for supplier matching, requirement extraction, and automated workflow orchestration.
 </li>
 <li>
 Implement sophisticated tool/function calling to integrate LLMs with external systems (inventory databases, ERPs, communications platforms).
 </li>
 <li>
 Build robust context and memory systems for multi-turn conversations and long-running industrial processes.
 </li>
 <li>
 Develop intelligent agents for supplier evaluation, alternative proposals, and emergency response scenarios.
 
 
 
 </li>
 </ul>
 System Architecture &amp; Optimisation
 
 
 <ul>
 <li>
 Write clean, maintainable code following established patterns and best practice.
 </li>
 <li>
 Optimise inference pipelines for latency, cost, and accuracy in high-stakes environments.
 </li>
 <li>
 Design scalable architectures for concurrent users across maintenance, procurement, and supplier teams.
 </li>
 <li>
 Implement caching, batching, and performance optimisations for enterprise-scale deployments.
 
 
 
 </li>
 </ul>
 AI Quality &amp; Reliability
 
 
 <ul>
 <li>
 Develop comprehensive evaluation frameworks (AI evals) to measure accuracy, relevance, and business impact.
 </li>
 <li>
 Design and execute fine-tuning strategies for domain-specific models (MRO terminology, supplier capability, part specifications).
 </li>
 <li>
 Explore and implement RL-based agents for dynamic supplier analysis where beneficial.
 </li>
 <li>
 Create sophisticated prompt engineering solutions that balance specificity and flexibility.
 
 
 
 </li>
 </ul>
 Security &amp; Compliance
 
 
 <ul>
 <li>
 Implement security best practice for sensitive procurement data, supplier information, and commercial terms.
 </li>
 <li>
 Ensure compliance with data protection regulations and industry standards (ISO, API standards, etc.).
 </li>
 <li>
 Design audit trails and logging for AI-assisted decisions in regulated environments.
 </li>
 <li>
 Build safeguards against prompt injection, data leakage, and other AI-specific vulnerabilities.
 
 
 
 </li>
 </ul>
 Domain Integration
 
 
 <ul>
 <li>
 Collaborate with domain experts to understand oil &amp; gas MRO workflows, terminology, and critical requirements.
 </li>
 <li>
 Travel to client sites, supplier locations, and operational facilities to understand real-world constraints.
 </li>
 <li>
 Translate operational requirements into technical specifications and AI capabilities.
 </li>
 <li>
 Provide technical guidance during customer implementations and onboarding.
 
 
 
 </li>
 </ul>
 
 Required Qualifications
 
 
 
 Experience &amp; Background
 
 
 <ul>
 <li>
 5+ years of professional software engineering experience in enterprise environments.
 </li>
 <li>
 Hands-on experience delivering working AI applications in production or advanced pilot environments.
 </li>
 <li>
 Experience working in regulated or sensitive-data settings.
 
 
 
 </li>
 </ul>
 Technical Expertise
 
 
 LLM Frameworks &amp; Foundation Models
 
 
 <ul>
 <li>
 Deep expertise building complex agent workflows.
 </li>
 <li>
 Hands-on with major LLMs (OpenAI, Anthropic, open-source) including API integration and optimisation.
 
 
 
 </li>
 </ul>
 Advanced AI Patterns
 
 
 <ul>
 <li>
 Function/tool calling and external system integration.
 </li>
 <li>
 Context-window management and retrieval strategies.
 </li>
 <li>
 Memory systems for stateful conversations and long-running processes.
 
 
 
 </li>
 </ul>
 AI Engineering
 
 
 <ul>
 <li>
 Building evaluation frameworks and metrics for LLM applications.
 </li>
 <li>
 Fine-tuning for domain-specific use cases.
 </li>
 <li>
 Experimenting with RL-based agents where impactful.
 </li>
 <li>
 Advanced prompt engineering and optimisation.
 
 
 
 </li>
 </ul>
 Software Engineering
 
 
 <ul>
 <li>
 Clean-code principles and SOLID design patterns.
 </li>
 <li>
 Performance optimisation and scalability.
 </li>
 <li>
 Version control (Git) and CI/CD pipelines.
 </li>
 <li>
 Testing strategies for AI systems (unit, integration, end-to-end).
 </li>
 <li>
 Security best practice, data protection, and compliance awareness.
 
 
 
 </li>
 </ul>
 Soft Skills
 
 
 <ul>
 <li>
 Communication: explain complex AI concepts to non-technical stakeholders; write clear documentation; collaborate across teams.
 </li>
 <li>
 Travel: willingness and ability to travel to operational sites, client facilities, and partner locations (mandatory).
 </li>
 <li>
 Problem-solving: strong analytical thinking; break down complex business problems into implementable AI solutions.
 
 
 
 </li>
 </ul>
 
 Preferred
 
 
 
 <ul>
 <li>
 Domain knowledge in oil &amp; gas operations, supply chain, or industrial procurement.
 </li>
 <li>
 Experience with MRO/EAM/supply chain software.
 </li>
 <li>
 Familiarity with industry-specific standards and terminology.
 </li>
 <li>
 Background in traditional ML/data science beyond LLMs.
 </li>
 <li>
 Experience with vector databases, semantic search, and RAG architectures.
 
 
 
 </li>
 </ul>
 Why Join Us
 
 
 At digital.enterprises, AI is a partner to people, not a replacement. This is Industry 5.0 in practice: technology amplifying human capability so energy operations become safer, more reliable, and more efficient delivering secure, affordable, cleaner energy at scale. Youll join a mission-driven team led by credible industry leadership with the freedom to build technology that genuinely changes how an industry works.
</div>

AI Engineer

Astrik

We&rsquo;re Hiring: AI Engineer (Onsite)Are you passionate about Artificial Intelligence and eager to work on cutting-edge projects that push the boundaries of what&rsquo;s possible?We&rsquo;re looking for talented AI Engineers with 1&ndash;5 years of experience to join our innovative team!What You&rsquo;ll Do:Design, develop, and deploy AI and ML models for real-world applications.Work across areas such as Natural Language Processing (NLP), Computer Vision, Predictive Analytics, and Generative AI (LLMs, diffusion models, etc.).Integrate AI models into scalable backend systems and APIs.Research and experiment with the latest tools and frameworks to improve performance and accuracy.Technical Skills We&rsquo;re Looking For:Programming: Python (NumPy, Pandas, Scikit-learn), JavaScript/TypeScript (optional)Deep Learning Frameworks: TensorFlow, PyTorch, KerasNLP &amp; LLMs: Hugging Face Transformers, LangChain, OpenAI API, vector databases (Pinecone, FAISS, Chroma)Computer Vision: OpenCV, YOLO, Detectron2, CLIP, Stable DiffusionMLOps: MLflow, Docker, Kubernetes, FastAPI, RESTful API integrationData Engineering: SQL, ETL pipelines, data preprocessing, feature engineeringCloud &amp; Deployment: AWS, Azure, or Google Cloud (SageMaker, Vertex AI, etc.)Bonus Skills: Prompt engineering, RAG (Retrieval-Augmented Generation), and model fine-tuningExperience Required: 1 to 5 yearsLocation: Onsite (details will be shared during the interview)Salary: Competitive &mdash; based on skill set and experienceIf you love building intelligent systems, experimenting with AI models, and collaborating with passionate innovators &mdash; we&rsquo;d love to meet you!Job Type: Full-timeWork Location: In person

AI Engineer (Onsite)

Cube Discipline

We are looking for a skilled Node.js / AI Engineer who can develop scalable backend systems and integrate AI models into production applications. The ideal candidate will have hands-on experience in Node.js, APIs, and AI/ML frameworks, with a strong ability to bridge backend engineering and AI implementation.Key Responsibilities:<ul><li>Design, develop, and maintain server-side applications using Node.js and Express.js.</li><li>Integrate AI/ML models into web and cloud-based applications.</li><li>Collaborate with data scientists and AI engineers to deploy and optimize ML pipelines.</li><li>Develop and manage RESTful APIs, ensuring high performance and scalability.</li><li>Write clean, testable, and maintainable code.</li><li>Handle data preprocessing, model inference, and integration with external APIs.</li><li>Work closely with cross-functional teams for smooth project execution.</li></ul>Requirements:<ul><li>Bachelor&rsquo;s degree in Computer Science, Software Engineering, or a related field.</li><li>2&ndash;5 years of experience in Node.js development.</li><li>Hands-on experience with AI/ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).</li><li>Strong understanding of REST APIs, microservices, and asynchronous programming.</li><li>Experience with MongoDB, MySQL, or PostgreSQL.</li><li>Familiarity with cloud platforms (AWS, GCP, or Azure) for model deployment.</li></ul>Job Type: Full-timeWork Location: In person

Node JS/ AI Engineer

We are looking for an experienced Senior Node.js / AI Engineer to lead the design and development of intelligent, scalable backend systems. The ideal candidate will have strong expertise in Node.js for backend development and practical experience integrating AI/ML models into production environments.Key Responsibilities:<ul><li>Lead development of backend services and APIs using Node.js (Express/Nest.js).</li><li>Collaborate with AI/ML teams to integrate machine learning models into live applications.</li><li>Design and implement microservices, event-driven architectures, and RESTful APIs.</li><li>Optimize system performance, scalability, and data flow between backend and AI components.</li><li>Mentor junior developers and review code to maintain best practices.</li><li>Deploy and manage applications on cloud platforms (AWS, GCP, or Azure).</li><li>Work closely with cross-functional teams including data scientists and product managers.</li></ul>Requirements:<ul><li>Bachelor&rsquo;s or Master&rsquo;s in Computer Science, Software Engineering, or a related field.</li><li>5&ndash;8+ years of backend development experience, primarily with Node.js.</li><li>Hands-on experience with AI/ML integration (TensorFlow, PyTorch, or OpenAI APIs).</li><li>Proficient in JavaScript/TypeScript, NoSQL/SQL databases, and API design.</li><li>Experience with cloud computing, containerization (Docker/Kubernetes), and CI/CD.</li><li>Strong problem-solving, leadership, and communication skills.</li></ul>Job Type: Full-timeWork Location: In person

Sr NodeJS/AI Engineer (remote)

Liquid Technologies Pakistan

<div>
 
 
 Job Title: Senior AI/ML Engineer
 
 
 
 
 
 
 
 Location:
 
 Karachi (On-site)
 
 
 
 Department:
 
 Artificial Intelligence / Data Science
 
 
 
 
 
 
 Job Summary
 
 
 
 We are seeking an experienced and innovative
 
 Senior AI/ML Engineer
 
 to lead the design, development, and deployment of advanced machine learning and AI-driven solutions. The ideal candidate will have strong expertise in
 
 deep learning, NLP, computer vision, and large-scale ML systems
 
 , with a passion for applying AI to solve complex real-world problems.
 
 
 
 
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Design, develop, and deploy
 
 end-to-end ML pipelines
 
 (data preprocessing, model training, evaluation, deployment).
 </li>
 <li>
 Lead R&amp;D in
 
 deep learning, NLP, computer vision, and generative AI
 
 to build state-of-the-art solutions.
 </li>
 <li>
 Collaborate with cross-functional teams (engineering, product, data) to integrate ML models into production systems.
 </li>
 <li>
 Optimize models for
 
 scalability, performance, and efficiency
 
 .
 </li>
 <li>
 Mentor junior AI/ML engineers and contribute to knowledge sharing within the team.
 </li>
 <li>
 Conduct experiments, analyze results, and present insights to stakeholders.
 </li>
 <li>
 Stay updated with the latest advancements in AI/ML and evaluate their applicability.
 </li>
 </ul>
 
 
 
 
 
 Required Skills &amp; Qualifications
 
 
 <ul>
 <li>
 Bachelor&rsquo;s/Master&rsquo;s degree in
 
 Computer Science, AI, Data Science, or related field
 
 (PhD preferred).
 </li>
 <li>
 4+ years of experience in
 
 AI/ML model development and deployment
 
 .
 </li>
 <li>
 Strong programming skills in
 
 Python
 
 with libraries such as
 
 TensorFlow, PyTorch, Scikit-learn, Hugging Face
 
 .
 </li>
 <li>
 Expertise in one or more areas:
 
 NLP, Computer Vision, Generative AI, RAG pipelines, LLM fine-tuning
 
 .
 </li>
 <li>
 Experience with
 
 cloud platforms
 
 (AWS, GCP, Azure) and
 
 MLOps tools
 
 (MLflow, Kubeflow, Docker, Kubernetes).
 </li>
 <li>
 Strong background in
 
 data structures, algorithms, and mathematics for ML
 
 .
 </li>
 <li>
 Proven track record of deploying
 
 ML models into production environments
 
 .
 </li>
 </ul>
</div>

Senior AI/ML Engineer

HR Ways

About the job Senior AI/ML Engineer - Remote from LahoreHiring Senior AI/ML Engineer - Remote from Lahore&#65279;Client Company Introduction:&#65279;An AI-based agriculture technology firm headquartered in Canada. &#65279; &#65279;Job Description:<ul><li>Data Preparation &amp; Baseline Model:</li></ul>Audit and validate annotated datasets for quality and consistency. Define data schema, coordinate systems, and identifiers. Implement preprocessing workflows (tiling, normalization, augmentation). Split data into training, validation, and test sets for robust evaluation. Train baseline object detection or counting models (e.g., YOLO, Faster R-CNN). Deliver baseline performance report with metrics (precision, recall, counting error).<ul><li>Model Optimization &amp; Calibration:</li></ul>Optimize model performance using hyper-parameter tuning and hard example mining. Validate across diverse conditions and unseen data. Implement geospatial alignment and calculate object densities or spatial statistics. Calibrate detection thresholds for precision and recall balance. Compare automated results with manual benchmarks and refine accordingly.<ul><li>Cloud Deployment &amp; Output Generation:</li></ul>Containerize models (Docker) and deploy on AWS or Azure using services like Sage Maker, ECS, or Azure ML. Automate inference pipelines integrated with S3, Blob Storage, or Data Lakes. Generate structured outputs (CSV, GeoTIFF, GeoJSON) for analytics and visualization. Expose APIs for inference job submission and results retrieval. Test scalability and runtime efficiency across sample datasets.<ul><li>Reporting, QA, and Knowledge Transfer:</li></ul>Develop automated reporting tools summarizing predictions and insights (PDF or dashboard format). Conduct end-to-end QA for accuracy, reliability, and coordinate integrity. Document workflows, performance benchmarks, and retraining processes. Provide knowledge transfer and technical training for internal teams.Required Skills &amp; Experience:<ul><li>5+ years of experience in Machine Learning, AI, or Computer Vision.</li><li>Expertise in Python, PyTorch/TensorFlow, OpenCV, and NumPy/Pandas.</li><li>Proficiency with annotation tools such as Roboflow and CVAT for dataset labeling and management.</li><li>Experience with cloud-based ML deployment on AWS or Azure.</li><li>Strong background in object detection, segmentation, and model optimization.</li><li>Familiarity with geospatial data processing (GDAL, GeoPandas, rasterio, shapely).</li><li>Proficiency with Docker, API development (FastAPI/Flask), and automation scripts.</li><li>Excellent documentation, reporting, and presentation skills.</li></ul>Other Details:<ul><li>Work Mode: Remote from Lahore</li><li>Experience: 5+ Years in AI/ML</li></ul><ul><li>Working Timings: 9am-6pm</li></ul>About HR Ways:HR Ways is an Award winning Technical Recruitment Firm helping software houses and IT Product companies internationally and locally to find IT Talent. HR Ways is engaged by 300+ Employers worldwide ranging from worlds biggest SaaS Companies to most competitive Startups. We have entities in Dubai, Canada, US, UK, Pakistan, India, Saudi Arabia, Portugal, Brazil and other parts of the world. &#65279;Join our WhatsApp Channel https://shorturl.at/983az to stay updated or visit www.hrways.co to know more.&quot;Job Type: Full-timeWork Location: In person

Liquid Technologies

We are seeking an experienced and innovative Senior AI/ML Engineer to lead the design, development, and deployment of advanced machine learning and AI-driven solutions. The ideal candidate will have strong expertise in deep learning, NLP, computer vision, and large-scale ML systems, with a passion for applying AI to solve complex real-world problems.Key Responsibilities<ul><li>Design, develop, and deploy end-to-end ML pipelines (data preprocessing, model training, evaluation, deployment).</li><li>Lead R&amp;D in deep learning, NLP, computer vision, and generative AI to build state-of-the-art solutions.</li><li>Collaborate with cross-functional teams (engineering, product, data) to integrate ML models into production systems.</li><li>Optimize models for scalability, performance, and efficiency.</li><li>Mentor junior AI/ML engineers and contribute to knowledge sharing within the team.</li><li>Conduct experiments, analyze results, and present insights to stakeholders.</li><li>Stay updated with the latest advancements in AI/ML and evaluate their applicability.</li></ul>Required Skills &amp; Qualifications<ul><li>Bachelor&rsquo;s/Master&rsquo;s degree in Computer Science, AI, Data Science, or related field (PhD preferred).</li><li>4+ years of experience in AI/ML model development and deployment.</li><li>Strong programming skills in Python with libraries such as TensorFlow, PyTorch, Scikit-learn, Hugging Face.</li><li>Expertise in one or more areas: NLP, Computer Vision, Generative AI, RAG pipelines, LLM fine-tuning.</li><li>Experience with cloud platforms (AWS, GCP, Azure) and MLOps tools (MLflow, Kubeflow, Docker, Kubernetes).</li><li>Strong background in data structures, algorithms, and mathematics for ML.</li><li>Proven track record of deploying ML models into production environments.</li></ul>Location: Karachi (On-site)Department: Artificial Intelligence / Data ScienceJob Type: Full-timeApplication Question(s):<ul><li>Have you completed the following level of education: Bachelor's Degree?</li><li>Have you deployed at least 3 machine learning models into a production environment?</li><li>On a scale of 1 to 10, how would you rate your proficiency in PyTorch?</li><li>Do you have hands-on experience with Kubernetes for scaling ML workloads?</li><li>What's your Current Salary?</li><li>What's your Expected Salary?</li><li>If selected, how soon can you join us?</li><li>Are you comfortable to commute to Zamzama?</li></ul>Work Location: In person

Explore 402+ Ai engineer in Product Design Jobs In Product Design Jobs In Karachi Pakistan this November. Find roles across top companies and apply now to boost your career.

402 ai engineer jobs IN Product Design Jobs In Product Design Jobs In Karachi Pakistan

AI Engineer

AI Engineer (Onsite)

Node JS/ AI Engineer

Sr NodeJS/AI Engineer (remote)

Senior AI/ML Engineer

Senior AI/ML Engineer

Senior AI/ML Engineer