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Jerrax

We are seeking a skilled and motivated AI Engineer with at least 2 years of hands-on experience to design, develop, and deploy AI-driven solutions. The ideal candidate should have strong knowledge of machine learning, data processing, and model deployment, along with a passion for solving real-world problems using AI technologies.Key Responsibilities:<ul><li>Design, develop, and implement AI/ML models for business applications</li><li>Train, test, and optimize machine learning and deep learning models</li><li>Work with large datasets to extract insights and improve model accuracy</li><li>Integrate AI models into existing systems and applications</li><li>Monitor model performance and continuously improve results</li><li>Collaborate with software engineers, data scientists, and product teams</li></ul>Required Skills &amp; Qualifications:<ul><li>Minimum 2 years of experience as an AI Engineer or similar role</li><li>Strong proficiency in Python and AI/ML libraries (TensorFlow, PyTorch, Scikit-learn)</li><li>Experience with data preprocessing, feature engineering, and model evaluation</li><li>Understanding of NLP, computer vision, or recommendation systems (preferred)</li><li>Familiarity with REST APIs, model deployment, and cloud platforms (AWS, GCP, or Azure)</li><li>Strong problem-solving and analytical skills</li></ul>Preferred Qualifications:<ul><li>Experience with MLOps tools and CI/CD pipelines</li><li>Knowledge of big data tools (Spark, Hadoop)</li><li>Background in statistics, mathematics, or computer science</li></ul>What We Offer:<ul><li>Competitive salary and benefits</li><li>Opportunity to work on innovative AI projects</li><li>Collaborative and growth-oriented work environment</li></ul>Job Type: Full-timePay: Rs70,000.00 - Rs100,000.00 per monthWork Location: Hybrid remote in Lahore

Ai Engineer

Solvefy

Be a Part of Shaping the Future with AI!Are you passionate about creating intelligent systems powered by Artificial Intelligence and Machine Learning? We are seeking an AI Developer who can design, build, and deploy innovative AI-driven solutions using cutting-edge models, frameworks, and tools.In this role, you&rsquo;ll work with modern AI/ML models, data pipelines, and deployment platforms to deliver scalable applications. You&rsquo;ll also leverage advanced techniques such as large language models (LLMs), NLP, and AI-powered automation to transform business processes.Key Responsibilities<ul><li>AI Model Development: Design, train, and fine-tune machine learning and deep learning models using frameworks such as TensorFlow, PyTorch, Keras, Scikit-learn, XGBoost, LightGBM, or Hugging Face Transformers.</li><li>Data Preparation: Build and maintain efficient data pipelines for training and evaluation using AI/ML data tools (e.g., Scikit-learn preprocessing, Spark MLlib).</li><li>AI Solutions &amp; LLMs: Apply LLMs, NLP techniques, and prompt engineering to enhance automation, intelligent assistants, and decision-making systems.</li><li>Deployment &amp; MLOps: Deploy, monitor, and manage AI/ML models on cloud platforms (AWS SageMaker, Azure ML, GCP Vertex AI) following MLOps best practices.</li><li>System Architecture: Implement scalable AI solutions using containerization (Docker, Kubernetes) and micro services-based designs.</li><li>Collaboration: Work closely with data engineers, product managers, and developers to translate business needs into AI-driven solutions.</li><li>Performance Optimization: Evaluate and improve model accuracy, scalability, and efficiency in production environments.</li><li>Research &amp; Innovation: Stay updated with the latest in AI frameworks, LLM advancements, and emerging ML technologies to drive innovation.</li></ul>Required Skills &amp; Qualifications<ul><li>Bachelor's or master's degree in computer science, Artificial Intelligence, Data Science, or a related field.</li><li>2+ years of experience in AI engineering, machine learning, or applied data science roles.</li><li>Proficiency with AI/ML frameworks and libraries, including TensorFlow, PyTorch, Keras, Scikit-learn, XGBoost, LightGBM, and Hugging Face Transformers.</li><li>Hands-on experience with AI model development, including exposure to large language models (LLMs), NLP, and other advanced ML applications.</li><li>Familiarity with data processing and big data technologies (e.g., Spark MLlib, Hadoop, MLflow, Kubeflow).</li><li>Experience working with cloud-based AI platforms (AWS SageMaker, Azure ML, GCP Vertex AI) for model deployment and scaling.</li><li>Knowledge of MLOps practices and lifecycle management for production-grade AI systems.</li><li>Strong foundation in machine learning algorithms, optimization techniques, and statistical modeling.</li><li>Experience implementing scalable AI solutions using Docker, Kubernetes, and micro services-based architectures.</li><li>Strong problem-solving ability, a collaborative mindset, and excellent communication skills for both technical and non-technical stakeholders</li></ul>What We Offer:<ul><li>Competitive Salary: Market-competitive salary with performance-based incentives.</li><li>Comprehensive Benefits: Provident Fund, Medical Allowance, and Umrah Allowance.</li><li>Wellness Perks: Gym and refreshment allowances.</li><li>Team Building: Annual trips, bi-annual dinners, and team events.</li><li>Additional Perks: Annual bonus, leave encashment, and a flexible leave policy (Casual, Sick &amp; Annual Leaves).</li></ul>Experience Level: 2+ yearsLocation: Johar Town, LahoreEmployment Type: Full-Time (On-Site)Office Timings: 12 PM &ndash; 9 PMJob Type: Full-timeWork Location: In person

AI Engineer

92Techno

We are seeking a highly skilled Senior AI Engineer in Lahore to lead the data and AI foundations that will drive our next phase of innovation. This role is ideal for someone who thrives in building scalable AI systems, shaping enterprise strategies, and delivering impactful AI solutions across the organization.Key Responsibilities<ul><li>Define and implement the enterprise data strategy to enable AI at scale.</li><li>Design and build scalable data platforms and pipelines (batch and streaming).</li><li>Develop, deploy, and optimize ML/AI and LLM-based solutions.</li><li>Establish frameworks for data governance, lineage, quality, security, and responsible AI.</li><li>Collaborate with business teams to identify and deliver high-value AI use cases.</li><li>Advocate and promote data, AI, and engineering best practices across the organization.</li></ul>Requirements<ul><li>6&ndash;10+ years of experience in Data Engineering, ML Engineering, or AI Engineering.</li><li>Strong proficiency in Python, SQL, and major cloud platforms (AWS, Azure, or GCP).</li><li>Experience working with Spark, feature stores, and Lakehouse architectures.</li><li>Hands-on expertise in LLMs, vector databases, and RAG pipelines.</li><li>Solid understanding of data governance, data security, DevOps/MLOps, and enterprise data frameworks.</li></ul>Job Type: Full-timePay: Rs450,000.00 - Rs500,000.00 per monthApplication Question(s):<ul><li>Do you have 6+ years of experience in Data Engineering, ML Engineering, or AI Engineering?</li></ul>Work Location: In person

Senior AI Engineer

Xavor Corporation

Location | DHA6, Lahore Experience | 3 - 5 YearWe are seeking an AI Engineer with 3&ndash;5 years of experience to build and deploy Generative AI systems, with a strong focus on AI agents, multi-agent workflows, and RAG-based applications. This role is hands-on and production-oriented, working with modern GenAI frameworks, automation tools, and cloud platforms.Key Responsibilities<ul><li>Design and build LLM-powered applications, including chatbots, copilots, and internal AI tools.</li><li>Develop AI agents and multi-agent systems for task automation, reasoning, and tool orchestration.</li><li>Implement and optimise RAG pipelines, prompt engineering, and context management.</li><li>Fine-tune and adapt foundation models for domain-specific use cases. Build and deploy AI services using FastAPI/Flask, Docker, and cloud platforms.</li><li>Apply computer vision techniques (OCR, detection, tracking) where required. Monitor deployed models for performance, reliability, and cost.</li></ul>Required Skills &amp; Experience<ul><li>Experience: 3&ndash;5 years in AI/ML or related engineering roles. Programming: Strong Python; working knowledge of SQL.</li><li>Generative AI: LLMs (OpenAI, Anthropic, Gemini, open-source models), agents, multi-agent workflows, RAG. Frameworks: PyTorch, Hugging Face, LangChain, LlamaIndex.</li><li>Automation &amp; Orchestration: n8n or similar tools. Databases: SQL and vector databases (Pinecone, Weaviate, Milvus, FAISS).</li><li>Deployment &amp; MLOps: FastAPI/Flask, Docker; familiarity with MLflow is a plus. Cloud: AWS (Bedrock, SageMaker), Azure AI.</li></ul>Job Type: Full-timeWork Location: Hybrid remote in Lahore

ThingTrax

<div>Thingtrax is building an Agentic Manufacturing Operations platform to fundamentally change how factories run. By deploying AI-powered agents including computer vision systems directly on production lines, we enable manufacturing operations that can observe, reason, and act in real time. Partnering closely with manufacturers, especially in food and beverage, we&rsquo;re helping teams reduce waste, improve quality, and move from manual intervention to autonomous, continuously optimised operations.<h3 class="jobSectionHeader">
Key Responsibilities</h3><ul>
<li>Design and implement end-to-end computer vision systems, including detection, segmentation, tracking, and OCR.
</li><li>Lead model selection, training, fine-tuning, and optimization initiatives.
</li><li>Architect and deploy real-time inference pipelines on edge devices.
</li><li>Optimize models using TensorRT, ONNX, OpenVINO, and quantization techniques.
</li><li>Design and maintain cloud-based inference services and monitoring pipelines.
</li><li>Integrate vision systems with IoT devices, PLCs, and enterprise platforms.
</li><li>Conduct applied research, prototype new approaches, and evaluate emerging models.
</li><li>Mentor junior engineers and perform technical reviews.
</li><li>Ensure scalability, reliability, and performance of production systems.
</li><li>Lead installation, configuration, and support of AI and IoT solutions for multiple clients.
</li><li>Oversee trials, site surveys, and collaborate with sales and product teams to align technical solutions with customer environments.
</li><li>Manage hardware and software deployment, validation, and postinstallation support.
</li><li>Lead troubleshooting efforts, including on-site client visits and coordination with R&amp;D teams.
</li><li>Drive development, debugging, and optimization of AI models and embedded systems software.
</li><li>Participate actively in Agile teams following Scrum methodologies.
</li><li>Identify and prototype new AI technologies to enhance product offerings</li>
</ul>
Requirements<ul>
<li>
3 to 5 years of professional experience designing, deploying, and optimizing production-grade computer vision and AI systems.
</li><li>Bachelor&rsquo;s degree in AI/CS/SE (mandatory).
</li><li>Expert-level proficiency in Python, with strong system design and architecture skills.
</li><li>Deep experience with advanced object detection, segmentation, multi-object tracking, and OCR frameworks such as YOLO, Detectron2, MMDetection, and custom pipelines.
</li><li>Proven experience deploying real-time inference pipelines on edge devices and cloud platforms.
</li><li>Strong understanding of model optimization techniques including TensorRT, ONNX, OpenVINO, and quantization.</li>
<li>Solid background in Linux, Docker, CI/CD, and cloud services (AWS, GCP, Azure).
</li><li>Strong programming skills in C#, C, or C++ are a plus.
</li><li>Experience leading or mentoring junior engineers.
</li><li>Experience managing client interactions and troubleshooting on-site issues.
</li><li>Familiarity with networking protocols and embedded systems security is advantageous.
</li><li>Experience working in Agile environments, including Scrum methodology.</li></ul></div>

Sr. AI Engineer

Thingtrax

<div>
 Thingtrax is building an Agentic Manufacturing Operations platform to fundamentally change how factories run. By deploying AI-powered agents including computer vision systems directly on production lines, we enable manufacturing operations that can observe, reason, and act in real time. Partnering closely with manufacturers, especially in food and beverage, we're helping teams reduce waste, improve quality, and move from manual intervention to autonomous, continuously optimised operations.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Design and implement end-to-end computer vision systems, including detection, segmentation, tracking, and OCR.
 </li>
 <li>
 Lead model selection, training, fine-tuning, and optimization initiatives.
 </li>
 <li>
 Architect and deploy real-time inference pipelines on edge devices.
 </li>
 <li>
 Optimize models using TensorRT, ONNX, OpenVINO, and quantization techniques.
 </li>
 <li>
 Design and maintain cloud-based inference services and monitoring pipelines.
 </li>
 <li>
 Integrate vision systems with IoT devices, PLCs, and enterprise platforms.
 </li>
 <li>
 Conduct applied research, prototype new approaches, and evaluate emerging models.
 </li>
 <li>
 Mentor junior engineers and perform technical reviews.
 </li>
 <li>
 Ensure scalability, reliability, and performance of production systems.
 </li>
 <li>
 Lead installation, configuration, and support of AI and IoT solutions for multiple clients.
 </li>
 <li>
 Oversee trials, site surveys, and collaborate with sales and product teams to align technical solutions with customer environments.
 </li>
 <li>
 Manage hardware and software deployment, validation, and postinstallation support.
 </li>
 <li>
 Lead troubleshooting efforts, including on-site client visits and coordination with R&amp;D teams.
 </li>
 <li>
 Drive development, debugging, and optimization of AI models and embedded systems software.
 </li>
 <li>
 Participate actively in Agile teams following Scrum methodologies.
 </li>
 <li>
 Identify and prototype new AI technologies to enhance product offerings
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 3 to 5 years of professional experience designing, deploying, and optimizing production-grade computer vision and AI systems.
 </li>
 <li>
 Bachelor's degree in AI/CS/SE (mandatory).
 </li>
 <li>
 Expert-level proficiency in Python, with strong system design and architecture skills.
 </li>
 <li>
 Deep experience with advanced object detection, segmentation, multi-object tracking, and OCR frameworks such as YOLO, Detectron2, MMDetection, and custom pipelines.
 </li>
 <li>
 Proven experience deploying real-time inference pipelines on edge devices and cloud platforms.
 </li>
 <li>
 Strong understanding of model optimization techniques including TensorRT, ONNX, OpenVINO, and quantization
 </li>
 <li>
 Solid background in Linux, Docker, CI/CD, and cloud services (AWS, GCP, Azure).
 </li>
 <li>
 Strong programming skills in C#, C, or C++ are a plus.
 </li>
 <li>
 Experience leading or mentoring junior engineers.
 </li>
 <li>
 Experience managing client interactions and troubleshooting on-site issues.
 </li>
 <li>
 Familiarity with networking protocols and embedded systems security is advantageous.
 </li>
 <li>
 Experience working in Agile environments, including Scrum methodology
 </li>
 </ul>
</div>

Digixvalley LLC

Key Responsibilities:<ul><li>Assist in the development, testing, and deployment of AI chatbots using local and cloud-based LLMs.</li><li>Support in building RAG (Retrieval-Augmented Generation) systems, including vector search and semantic retrieval.</li><li>Work with Qdrant and embedding models to manage collections, vectors, and similarity search.</li><li>Help develop FastAPI endpoints for AI services and WhatsApp/other messaging integrations.</li><li>Participate in processing training data, embeddings, and conversation history pipelines.</li><li>Implement and refine LLM-based intent detection, response ranking, and fallback systems.</li><li>Collaborate on model optimization, prompt tuning, and improving response accuracy.</li><li>Assist in deploying real-time AI systems for customer service automation.</li><li>Contribute to knowledge base creation, FAQ structuring, and dynamic response generation.</li><li>Write clean, maintainable, and well-documented code for AI modules.</li><li>Stay updated on conversational AI, RAG methodologies, LLM improvements, and vector database innovations.</li><li>Support integrating AI services into cloud environments and multi-tenant architectures.</li></ul>Required Skills &amp; Qualifications:<ul><li>Bachelor&rsquo;s degree in Computer Science, AI, Data Science, or a related field.</li><li>0.5 &ndash; 2 years of experience working on AI/ML or chatbot projects.</li><li>Hands-on experience with LLMs (OpenAI, Ollama, Hugging Face) and prompt engineering.</li><li>Understanding of vector databases such as Qdrant, Pinecone, or ChromaDB.</li><li>Experience working with embedding models, semantic search, or RAG pipelines.</li><li>Proficiency in Python, especially FastAPI, async workflows, and API development.</li><li>Familiarity with supervised/unsupervised ML concepts and evaluation techniques.</li><li>Understanding of REST APIs, Git, and version control workflows.</li><li>Good analytical, debugging, and problem-solving skills.</li><li>Ability to work in a collaborative, fast-paced engineering environment.</li><li>Exposure to cloud platforms (AWS/GCP/Azure) for deploying AI applications.</li><li>Basic understanding of MLOps, retraining pipelines, or model monitoring.</li></ul>Job Type: Full-timeWork Location: In person

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