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service engineer

ai engineer ai specialist

Htech Solution Pvt. Ltd.

Job Title: AI Engineer / AI SpecialistIndustry: IT Security &amp; Surveillance Location: Karachi Experience: 3&ndash;5 YearsJob SummaryWe are looking for an AI Engineer to design, develop, and implement artificial intelligence solutions for security and surveillance systems. The role focuses on enhancing monitoring capabilities, automating threat detection, and improving operational efficiency through AI-driven technologies.Key Responsibilities<ul><li>Develop and deploy AI/ML models for surveillance and security applications.</li><li>Implement computer vision solutions such as object detection, facial recognition, and behavior analysis.</li><li>Integrate AI solutions with command &amp; control platforms, and monitoring tools.</li><li>Build predictive analytics models for threat detection and anomaly identification.</li><li>Optimize AI models for real-time processing and performance.</li><li>Collaborate with IT, networking, and cybersecurity teams for secure system deployment.</li><li>Maintain AI pipelines including data preprocessing, training, validation, and deployment.</li><li>Monitor model performance and continuously improve accuracy.</li><li>Ensure compliance with cybersecurity and data privacy standards.</li></ul>Required Skills &amp; Qualifications<ul><li>Strong knowledge of Machine Learning and Deep Learning concepts.</li><li>Experience with Python and AI frameworks (TensorFlow, PyTorch, OpenCV).</li><li>Knowledge of computer vision and video analytics.</li><li>Experience with REST APIs and system integration.</li><li>Understanding of data structures, algorithms, and model optimization.</li><li>Familiarity with cloud or edge AI deployment is a plus.</li></ul>Preferred Skills<ul><li>Experience in surveillance systems or security environments.</li><li>Knowledge of real-time analytics and AI automation.</li><li>Exposure to smart city or command &amp; control center projects.</li></ul>Job Type: Full-timeWork Location: In person

AI Engineer / AI Specialist

Sidat

Job Title: AI Infrastructure &amp; Server Configurator (On-Premise Specialist) Location: Shahrah-e-Faisal Experience: 2+ Years in DevOps &amp; Linux AdministrationAbout the RoleTo support clients requiring maximum data privacy, Sidat Technologies is expanding its Self-Hosted AI Solutions. We need an AI Infrastructure Specialist to set up, secure, and maintain private AI environments. You will ensure that AI models run smoothly on local servers or private clouds without relying on external third-party APIs.Key Responsibilities<ul><li>Local Model Deployment: Set up and optimize local environments for LLMs using frameworks like Ollama, vLLM, or LocalAI.</li><li>Hardware Optimization: Configure NVIDIA GPU drivers (CUDA) to ensure low-latency performance for AI processing.</li><li>Security &amp; Privacy: Implement robust security protocols (VPNs, Firewalls) for private network environments.</li><li>Integration Support: Assist developers in connecting web applications to self-hosted AI backends.</li></ul>Technical Requirements<ul><li>OS: Expert-level knowledge of Linux (Ubuntu/Debian).</li><li>Containerization: Mastery of Docker and Kubernetes for scalable AI services.</li><li>Hardware Knowledge: Deep understanding of GPU architectures (NVIDIA RTX/A100 series) and memory management.</li><li>Web Servers: Experience with Nginx, Reverse Proxies, and SSL configuration.</li></ul>Job Type: Full-timeWork Location: In person

AI Infrastructure & Server Configurator

Expertizo

About the RoleWe are looking for a hands-on AI Engineer with strong experience in LLMs, AI agents, and workflow automation. This role focuses on building AI-driven systems, agents, and business automations, not training ML models from scratch.You&rsquo;ll design intelligent agents, orchestrate workflows using n8n, flowise, langchain, or langGraph, and integrate AI into real-world business applications.Key Responsibilities<ul><li>Design, build, and deploy AI agents capable of reasoning, decision-making, and tool usage</li><li>Develop and maintain n8n workflows for AI-driven automation</li><li>Build LLM-powered applications such as chatbots, assistants, and process automation tools</li><li>Implement prompt engineering, agent memory, and multi-step reasoning flows</li><li>Build RAG (Retrieval-Augmented Generation) pipelines</li><li>Integrate AI systems with:</li><li>Internal tools (CRM, ERP, databases)</li><li>Third-party APIs and services</li><li>Develop and consume REST APIs using FastAPI or Flask</li><li>Monitor, debug, and optimize AI agents and automation workflows</li><li>Ensure reliability, scalability, and performance of AI systems</li><li>Document workflows, agent logic, and integrations</li></ul>Required Skills &amp; Experience<ul><li>1+ years of professional experience as an AI Engineer, GenAI Engineer, or Automation Engineer</li><li>Strong proficiency in Python</li><li>Good understanding of data handling and ML fundamentals</li><li>Hands-on experience with LLMs (OpenAI, Azure OpenAI, Hugging Face, etc.)</li><li>Strong prompt engineering skills</li><li>Experience with AI agent frameworks, such as:</li><li>LangChain, LangGraph, LangBase</li><li>LlamaIndex</li><li>Proven experience with n8n workflow automation, including:</li><li>Webhooks</li><li>Event-driven workflows</li><li>Cron-based workflows</li><li>Experience integrating APIs, databases (SQL / NoSQL), and AI services</li><li>Experience with vector databases (FAISS, Pinecone, Weaviate, etc.)</li><li>Self-hosted n8n deployments</li><li>Familiarity with Docker and basic cloud deployments</li><li>Experience with Zapier or Make.com</li></ul>Nice to Have<ul><li>Understanding of MLOps concepts</li></ul>Soft Skills<ul><li>Strong problem-solving mindset</li><li>Ability to explain AI concepts to non-technical stakeholders</li><li>Good communication and teamwork skills</li><li>Self-driven and eager to learn</li></ul>Location: Onsite Job Type: Full-timeJob Type: Full-timePay: Up to Rs1,200,000.00 per yearApplication Question(s):<ul><li>What is your current &amp; expected salary? Failing to address this question will result in rejection.</li></ul>Experience:<ul><li>AI Engineer: 1 year (Required)</li></ul>Work Location: In person

AI Engineer (LLMs, Agents & Automation)

Sos Hermann Gmenier School

AI Engineer - Automation The MAD Designers Karachi, Pakistan Full-time | On-site Job Description: We are hiring an AI Engineer to join our team in Karachi. You will work with modern AI automation tools to build smart solutions and automate workflows. This is a great opportunity for someone who loves working with AI technology and wants to grow in automation. Job Details:Location: KarachiWorking Hours: 9 AM to 5 PMWorking Days: Monday to Saturday Employment Type: Full-time Requirements: Familiar with AI automation tools like n8n, Replit, Lovable Experience working with AI platforms Basic understanding of workflow automation Must have a portfolio showing previous AI projects Good communication skills Ability to work in a team Problem-solving mindset Responsibilities: Use AI tools to automate tasks and processes Build AI-powered solutions for clients Work with different AI automation platforms Test and improve automation workflows Collaborate with the team on AI projects Keep up with new AI tools and technologies What We're Looking For: Someone who is passionate about AI and automation, learns quickly, and can deliver quality work. If you enjoy experimenting with AI tools and finding smart solutions, we'd love to hear from you. How to Apply: Send your CV and Portfolio to: Hello@themadesigners.com Important: Please apply via EMAIL only. Do NOT send inbox messages.Job Type: Full-timeWork Location: In person

AI Engineer-Automation

Job Title: AI &amp; Machine Learning Engineer Location: Shahrah-e-Faisal Experience: 1.5-2 YearsAbout the RoleSidat Technologies is launching a specialized AI Development Department. We are seeking an AI &amp; Machine Learning Engineer to serve as our &quot;Brain &amp; Data Architect.&quot; You will handle the entire lifecycle of AI from cleaning messy datasets to training models that can &quot;see&quot; (Computer Vision), &quot;predict&quot; (Forecasting), and &quot;understand&quot; (NLP). This role is for a versatile builder who turns raw data into intelligent business products.Key Responsibilities<ul><li>Data Engineering: Design and manage pipelines for data cleaning, labeling, and preprocessing.</li><li>Model Development: Build and fine-tune models for Predictive Analytics, NLP, and Computer Vision (OCR, Object Detection).</li><li>Smart Search Systems (RAG): Develop advanced systems that allow AI to read and interact with massive private document libraries.</li><li>Performance Monitoring: Continuously evaluate models to ensure high accuracy and minimize &quot;hallucinations&quot; in production.</li></ul>Technical Requirements<ul><li>Programming: Mastery of Python (Pandas, NumPy, Scikit-learn).</li><li>Frameworks: Hands-on experience with PyTorch or TensorFlow.</li><li>Deep Learning: Experience with Open Source LLMs (Llama, Mistral) and Vision models.</li><li>Databases: Strong SQL skills and experience with Vector Databases (Pinecone, ChromaDB).</li></ul>How to Apply:Share your resume on apply4ai@sidat.net with the job title &ldquo;AI &amp; Machine Learning Engineer&rdquo;Job Type: Full-timeWork Location: In person

AI & Machine Learning Engineer

Sofstica

Openings: 2<ul><li>AI Engineer 0-0.5 yrs of experience</li><li>AI Engineer 1+ yrs of experience</li></ul>Key Responsibilities1. AI Agent Development: Design and implement advanced AI agents using Python, LangChain, LangGraph, and modern frameworks for reasoning, decision-making, and workflow orchestration.2. Full-Stack Integration: Build scalable backend services with Java SpringBoot, intuitive frontends with Next.js, and mobile apps with Flutter to deliver AI-powered products.3. Deployment &amp; Scalability: Deploy and maintain AI models in production environments.4. Cross-Team Collaboration: Partner with product and engineering teams to translate business logic into robust AI architectures and user-centric features.QualificationsTechnical Expertise:<ul><li>Excellent analytical, coding, and debugging skills in Python.</li><li>Hands-on experience building AI agents, RAG pipelines, or autonomous systems with frameworks like LangChain/LangGraph.</li><li>Solid understanding of data structures, algorithms, and system design for solving complex technical challenges.</li><li>Familiarity with frontend (Next.js/React) and mobile (Flutter) development, as well as backend development using Java SpringBoot (REST APIs, microservices, database integration).</li></ul>Mindset:<ul><li>Analytical problem-solver with a focus on writing clean, efficient, and scalable code.</li><li>Ability to balance rapid prototyping with production-grade engineering.</li><li>Strong communication skills to articulate technical trade-offs to diverse teams.</li></ul>Job Type: Full-timeEducation:<ul><li>Bachelor's (Required)</li></ul>Experience:<ul><li>relevant: 1 year (Preferred)</li></ul>Location:<ul><li>Karachi (Required)</li></ul>Work Location: In person

AI Engineer

Fiblix

Position Type: Full-Time, Remote Location: Remote (Worldwide) Reports to: Technical Director / CTOAbout the RoleWe are seeking a highly experienced AI/ML Engineer &amp; Data Scientist to work on a large-scale enterprise software platform. This is a senior-level position requiring deep expertise in artificial intelligence, machine learning, and data science with proven experience in building and deploying production-grade AI systems.You will be responsible for architecting intelligent features, building ML pipelines, integrating cutting-edge AI capabilities, and transforming complex data into actionable insights.Key ResponsibilitiesAI/ML Development<ul><li>Design and build end-to-end machine learning systems for production deployment</li><li>Develop deep learning models (CNNs, RNNs, Transformers, GANs)</li><li>Implement recommendation engines, predictive analytics, and intelligent automation</li><li>Optimize models for performance, scalability, and cost efficiency</li></ul>LLM &amp; NLP Integration<ul><li>Integrate and fine-tune Large Language Models (GPT-4, Claude, LLaMA, Mistral)</li><li>Build NLP pipelines for text classification, sentiment analysis, and entity recognition</li><li>Develop RAG systems, chatbots, and conversational AI features</li><li>Implement prompt engineering and chain-of-thought reasoning</li></ul>Data Science &amp; Analytics<ul><li>Conduct exploratory data analysis on large, complex datasets</li><li>Perform statistical analysis, hypothesis testing, and causal inference</li><li>Build automated data pipelines and feature engineering workflows</li><li>Create data visualizations and reporting dashboards</li></ul>MLOps &amp; Production Systems<ul><li>Design MLOps pipelines for continuous training and deployment</li><li>Implement model monitoring, drift detection, and automated retraining</li><li>Build scalable model serving infrastructure</li><li>Establish testing frameworks and deployment strategies</li></ul>AI Integrations<ul><li>Integrate third-party AI APIs (OpenAI, Anthropic, Google AI, Azure AI, AWS)</li><li>Design RESTful APIs for model serving</li><li>Implement vector databases and semantic search capabilities</li><li>Build microservices architecture for AI features</li></ul>Required QualificationsExperience<ul><li>Minimum 5-8 years in AI/ML and Data Science</li><li>Minimum 5 years deploying production ML systems at scale</li><li>Minimum 3 years with deep learning frameworks</li><li>Minimum 2 years with LLMs and modern NLP</li><li>Proven track record of delivering impactful AI projects</li></ul>Education<ul><li>Bachelor's in Computer Science, ML, AI, Data Science, Statistics, or related field</li></ul>Technical SkillsProgramming:<ul><li>Python (expert level), SQL, and one additional language (R, Scala, or Java)</li></ul>ML Frameworks:<ul><li>TensorFlow/Keras, PyTorch, Scikit-learn, XGBoost/LightGBM</li></ul>NLP &amp; LLMs:<ul><li>Hugging Face Transformers, LangChain, OpenAI/Anthropic APIs</li><li>Vector databases (Pinecone, Weaviate, Milvus, Chroma)</li></ul>MLOps:<ul><li>MLflow, Weights &amp; Biases, Docker, Kubernetes</li><li>Model serving (TensorFlow Serving, TorchServe, BentoML)</li></ul>Cloud Platforms (at least two):<ul><li>AWS (SageMaker, Bedrock), GCP (Vertex AI), Azure ML</li></ul>Data Engineering:<ul><li>Apache Spark, data warehousing, stream processing</li></ul>Soft Skills<ul><li>Excellent English communication (written and verbal)</li><li>Self-motivated with ability to work independently</li><li>Strong problem-solving and analytical thinking</li><li>Experience working in remote, distributed teams</li></ul>Preferred Qualifications<ul><li>Publications in top ML/AI conferences (NeurIPS, ICML, ICLR, ACL)</li><li>Open-source contributions to ML frameworks</li><li>Experience with AI safety and alignment</li><li>Cloud ML certifications (AWS ML Specialty, GCP ML Engineer, Azure AI Engineer)</li><li>Domain expertise in enterprise software, fintech, healthcare, or e-commerce</li></ul>Job Type: Full-timePay: From Rs200,000.00 per month

Senior AI/ML Engineer & Data Scientist

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