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artificial intelligence specialist

Qureos

AI Engineer Company:** Qureos Location:** Karachi, Pakistan Employment Type:** Full-Time About Qureos Qureos is a dynamic and forward-thinking organisation dedicated to shaping the future of career development. We are committed to empowering professionals by connecting them with meaningful opportunities, mentorship, and the skills needed to thrive in a competitive landscape. Our innovative platform leverages technology to bridge the gap between talent and industry, and we are now seeking a talented AI Engineer to join our pioneering team. Job Overview We are looking for a highly skilled and motivated AI Engineer to join our team in Karachi. The ideal candidate will be passionate about artificial intelligence and its application in solving real-world challenges. You will play a crucial role in designing, developing, and deploying cutting-edge AI and machine learning models that power our platform's core features, from intelligent job matching and skill analysis to personalised career guidance. This is an exciting opportunity to make a significant impact within a growing company at the forefront of the EdTech and recruitment industries. Responsibilities - Design, build, and deploy robust machine learning models to enhance our platform's capabilities. - Develop and refine recommendation systems to accurately match candidates with relevant job opportunities, projects, and mentors. - Utilise Natural Language Processing (NLP) techniques to analyse and interpret data from resumes, job descriptions, and user interactions. - Collaborate with cross-functional teams, including software engineers, product managers, and data scientists, to integrate AI solutions into our products. - Manage the end-to-end lifecycle of AI models, including data collection, preprocessing, training, evaluation, and deployment. - Stay current with the latest advancements in AI, machine learning, and deep learning to drive continuous innovation. - Ensure the ethical and responsible use of AI, maintaining fairness and avoiding bias in all models. - Optimise AI models for performance, scalability, and efficiency. Qualifications - Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related technical field. - Proven commercial experience as an AI Engineer, Machine Learning Engineer, or in a similar role. - Strong programming proficiency in Python and extensive experience with key AI/ML libraries such as TensorFlow, PyTorch, and scikit-learn. - Solid understanding of machine learning algorithms, deep learning, NLP, and statistical modelling. - Experience with data processing and analysis using tools like Pandas and NumPy. - Familiarity with cloud computing platforms (e.g., AWS, GCP, Azure) and MLOps practices is highly desirable. - Excellent problem-solving abilities and a creative, analytical mindset. - Strong communication skills and the ability to work effectively in a collaborative team environment. Benefits - A competitive salary and comprehensive benefits package. - Opportunities for professional development and continuous learning. - A vibrant and supportive work culture that encourages innovation and collaboration. - The chance to work on meaningful projects that directly impact people's careers. - Flexible and modern working environment.

AI Engineer

Pinnacle Business Solutions

OverviewAn AI Videographer is responsible for creating high-quality video content using a combination of traditional videography skills and artificial intelligence tools. This role involves shooting, editing, enhancing, and sometimes generating video content using AI-powered platforms.Key Responsibilities<ul><li>Plan, shoot, and edit video content for marketing, social media, training, or entertainment</li><li>Use AI tools (e.g., Runway ML, Adobe Premiere Pro, Descript) to automate editing, enhance visuals, and generate effects</li><li>Create AI-generated videos using prompts (text-to-video tools)</li><li>Enhance video quality using AI (color correction, upscaling, noise reduction)</li><li>Sync audio, subtitles, and voiceovers using AI voice tools</li><li>Collaborate with creative teams (designers, marketers, content creators)</li><li>Stay updated with emerging AI video trends and tools</li><li>Manage video assets and maintain content libraries</li></ul>Required Skills Technical Skills:<ul><li>Proficiency in video editing software (e.g., Final Cut Pro, Adobe After Effects)</li><li>Familiarity with AI video tools (Runway, Pika Labs, Synthesia, etc.)</li><li>Understanding of camera operation, lighting, and composition</li><li>Knowledge of sound design and editing</li><li>Basic understanding of AI prompts and workflows</li></ul>Creative Skills:<ul><li>Strong storytelling and visual composition</li><li>Ability to conceptualize video ideas using AI tools</li><li>Attention to detail and aesthetics</li></ul>Preferred Qualifications<ul><li>Experience with AI-generated media or machine learning tools</li><li>Basic knowledge of scripting or automation (Python is a plus)</li><li>Experience in social media video formats (TikTok, YouTube, Reels)</li></ul>Pay: From Rs100,000.00 per monthWork Location: In person

AI Videography / AI Video Generation

Pivotize Consulting

Job Overview We aare in search of an experienced AI Engineer who will work as part of a diverse team of software engineers, data scientists, and machine learning (ML) experts to develop new models and algorithms to apply artificial intelligence to solve real-world problems and change the future.In this role, your curiosity and deep interest in AI, machine learning, and keeping pace with a rapidly evolving field will guide your path. You will delve into extensive data sets, identify patterns, and craft predictive algorithmic models, contributing to innovative projects.Responsibilities: . Design and develop cutting-edge AI solutions and systems that integrate with our products and services. . Implementing AI solutions using programming languages such as Python, R, Java, or C++, along with relevant frameworks and libraries like TensorFlow, PyTorch, or scikit-learn. . Collecting, preprocessing, and analyzing large volumes of data to train AI models. This may involve data cleaning, feature engineering, and exploratory data analysis. . Deploying AI models into production environments and integrating them with existing systems and applications. This may involve containerization, microservices architecture, and cloud computing platforms. . Conduct thorough testing and evaluation of AI systems to ensure they meet performance, reliability, and security standards. . Conduct research and experiments to improve the performance of AI systems. . Monitor the performance of AI systems and make recommendations for improvements. . Stay up-to-date with advancements in AI technologies and make recommendations for future development.Requirements: . Degree in Computer science, Information technology, or a related field. 4+ years of experience with strong programming skills in Python, R, MATLAB, or other relevant programming languages. . Deep understanding of data science, linear algebra, algorithms, and statistics. . Experience working with large data sets and writing efficient code capable of processing large data streams at speed . Familiarity with deep learning and machine learning algorithms and the use of popular AI/ML framework. . Excellent communication skills.Job Type: Full-timePay: From Rs250,000.00 per monthApplication Question(s):<ul><li>What is your current salary?</li><li>What is your expected salary?</li><li>What is your notice period?</li><li>Are you able to commute to Bahria Complex 1, Lalazar, M.T. Khan Road for onsite interview &amp; job? </li></ul>It's mandatory to be available on-site. No Freelance or Remote option / No online interviews &amp; assessment.Work Location: In person

Sr. Artificial Intelligence (AI) Engineer

Treasury Cube

<div>
 About Treasury Cube
 
 Treasury Cube is a modern Treasury Management System (TMS) helping corporate treasury teams take control of cash, payments, bank connectivity, in-house banking, and FX exposure. We're building a platform that turns the daily grind of treasury operations, bank statement processing, cash positioning, intercompany settlements, payment workflows into something faster, smarter, and decision ready.
 
 
 We're now embedding AI deeply into the platform to give treasurers the kind of insight, automation, and conversational access that legacy TMS vendors simply can't deliver. This is where you come in.
 
 
 The Role
 
 We're looking for an
 
 AI Engineer
 
 to lead the design and delivery of AI capabilities across Treasury Cube. You'll own the AI engineering stack end-to-end from model orchestration on
 
 Azure AI
 
 , to retrieval pipelines over treasury data, to the production systems that put insights and automation in front of CFOs and treasurers every day.
 
 
 
 
 
 This is a hands-on, build-from-the-ground-up role. You'll shape architecture, set patterns, and ship features customers actually use within weeks, not quarters.
 
 
 What You'll Build
 <ul>
 <li>
 
 AI Insights Engine:
 
 Generate explanatory commentary and recommendations on cash positions, FX exposures, payment anomalies, forecast variances, and intercompany flows. Think: turning a 12-bank, 8-currency cash dashboard into a one-paragraph "here's what changed and why" briefing.
 </li>
 <li>
 
 AI Chatbox / Conversational Treasury Assistant:
 
 A natural-language interface where users can ask "what's my USD position next Friday?" or "show me payments held up in approval over $500K" and get accurate, grounded answers backed by the underlying treasury data.
 </li>
 <li>
 
 AI-Based Task &amp; Notification Automation:
 
 Intelligent routing, prioritization, and summarization of alerts (covenant breaches, sweep failures, payment exceptions, hedge effectiveness drift). Auto-generated tasks with context, suggested actions, and assignment logic.
 </li>
 <li>
 
 Monitoring &amp; Observability for AI Systems
 
 : Token usage, latency, hallucination detection, prompt regression, cost-per-customer tracking, and human-in-the-loop feedback pipelines. If we can't measure it, we won't trust it in front of treasurers.
 
 </li>
 </ul>
 What We're Looking For
 
 
 Must-haves:
 
 
 <ul>
 <li>
 3+ years of software engineering experience, with at least 1&ndash;2 years building production LLM or AI applications
 </li>
 <li>
 
 Strong, hands-on experience with the Azure AI stack
 
 Azure OpenAI Service, Azure AI Foundry, Azure AI Search (vector + hybrid retrieval), Azure AI Document Intelligence, and Azure Content Safety
 </li>
 <li>
 Solid grasp of
 
 RAG architectures
 
 , prompt engineering, function/tool calling, structured outputs, and evaluation frameworks
 </li>
 <li>
 Experience designing
 
 agentic workflows
 
 and multi-step automation (Azure Functions, Logic Apps, Durable Functions, or equivalent)
 </li>
 <li>
 Strong backend engineering fundamentals Python and/or C#/.NET, REST APIs, async patterns, SQL
 </li>
 <li>
 Production mindset: you think about cost, latency, observability, prompt versioning, and graceful degradation from day one
 </li>
 </ul>
 
 
 Nice to have:
 
 
 <ul>
 <li>
 Experience in FinTech, Treasury, ERP, or financial data domains
 </li>
 <li>
 Familiarity with ISO 20022 (CAMT, PAIN), SWIFT, or banking integrations
 </li>
 <li>
 Background in MLOps / LLMOps (Azure ML, Prompt Flow, model evaluation pipelines)
 </li>
 <li>
 Hands-on with Semantic Kernel, LangChain, or LlamaIndex
 </li>
 <li>
 Experience with multi-tenant SaaS architectures and data isolation patterns
 </li>
 </ul>
 
 
 
 Why Join Treasury Cube
 <ul>
 <li>
 
 Real ownership.
 
 You'll be the AI lead, not the third engineer on a team of fifteen. Architecture decisions you make this quarter will shape the platform for years.
 </li>
 <li>
 
 A domain that rewards intelligence.
 
 Treasury data is structured, high-stakes, and underserved by AI. The problems are genuinely hard, and the wins are visible to CFOs the day you ship.
 </li>
 <li>
 
 Fast feedback loops.
 
 Small customer base today (early-stage), which means you'll talk to actual users, see your features in production within weeks, and iterate based on real treasurer feedback.
 </li>
 <li>
 
 Work that compounds.
 
 Every insight, automation, and chatbox capability you ship becomes part of a platform that scales across customers not a one-off engagement.
 </li>
 </ul>
 
 
 
 How to Apply
 
 Send your CV, GitHub or portfolio (if relevant), and a short note on
 
 one production AI system you've built
 
 what it does, what you'd change, and why to
 
 HR@treasurycube.com
 
 .
 
 
 Bonus points if you include thoughts on how you'd approach building a treasury AI assistant that earns the trust of a CFO.
 
</div>

Aptech

Job DescriptionWe are looking for a passionate and experienced Data Science &amp; AI/ML Faculty Member to join our academic team. The ideal candidate will be responsible for teaching and mentoring students in modern data science and artificial intelligence practices, ensuring they gain both theoretical knowledge and practical skills required in today&rsquo;s data-driven world.Key Responsibilities<ul><li>Deliver engaging lectures and hands-on practical sessions on Data Science and AI/ML topics such as:</li><li>Data Analysis &amp; Visualization</li><li>Machine Learning Algorithms</li><li>Deep Learning</li><li>Artificial Intelligence Concepts</li><li>Python for Data Science</li><li>Big Data &amp; Data Engineering Basics</li><li>Prepare lesson plans, assignments, and assessments to support student learning.</li><li>Train students in real-world tools, techniques, and industry best practices.</li><li>Stay updated with the latest trends in Data Science, AI, and Machine Learning.</li><li>Provide academic guidance and career mentorship to students.</li><li>Evaluate student performance and provide constructive feedback for improvement.</li><li>Collaborate with other faculty members and contribute to curriculum development.</li></ul>Requirements<ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Data Science, Computer Science, Artificial Intelligence, or a related field.</li><li>Proven work experience in Data Science, AI, or Machine Learning.</li><li>Strong knowledge of:</li><li>Machine Learning &amp; Deep Learning</li><li>Python (NumPy, Pandas, Scikit-learn, TensorFlow, or PyTorch)</li><li>Data Visualization tools (Matplotlib, Seaborn, Power BI, or Tableau)</li><li>Relevant certifications in Data Science or AI/ML will be an advantage.</li><li>Prior teaching or training experience will be a plus.</li><li>Excellent communication, presentation, and mentoring skills.</li><li>Passion for teaching and guiding students.</li></ul>Benefits<ul><li>Competitive salary package</li><li>EOBI</li><li>Medical benefits</li><li>Annual bonus</li><li>Leaves (Casual, Medical, Special, Annual)</li><li>Professional development opportunities</li><li>Opportunity to shape the future of aspiring Data Science and AI professionals</li></ul>Job Details<ul><li>Timings: 1:00 PM &ndash; 9:00 PM</li><li>Location: Aptech Metro Star Gate Center, Karachi</li><li>Job Type: Full-time</li><li>Work Location: In person</li></ul>Job Type: Full-timeWork Location: In person

Data Science, AI and ML Faculty

Lucerna Tech

passionate about innovation and with Performance Marketing Executive - SocialPieLocation: Karachi (On-site)About SocialPie:At SocialPie, we're committed to innovating in Artificial Intelligence, Ad Tech, and Business Automation. Our mission is to empower businesses to excel in the digital landscape with cutting-edge solutions that enhance customer engagement and drive growth. We focus on developing technologies that provide data-driven insights, optimize conversion rates, and propel businesses to success. Our AI-First approach harnesses AI's potential to transform brand-customer interactions, from gathering insights to strategic actions. We collaborate with diverse industries to refine our technology-based solutions. Our goal is to redefine how businesses build lasting customer connections by leveraging the power of AI.About Position:SocialPie Technologies is looking for a visionary Performance Marketing Specialist to join our team. We need someone passionate about innovation and with a deep understanding of digital marketing trends and strategies.Responsibilities:<ul><li>Oversee the planning, execution, and optimization of digital marketing campaigns for clients, acting as the primary point of contact for high-profile clients.</li><li>Develop and implement comprehensive Performance marketing strategies aligned with client objectives and industry trends.</li><li>Direct the execution of various digital marketing channels, including SEO, SEM, social media, email marketing, and content marketing.</li><li>Utilize analytics tools to measure, analyze, and report on the performance of Performance marketing campaigns, providing regular updates and insights to clients.</li><li>Collaborate with internal teams, including sales, product development, and creative, to align digital marketing efforts with overall business objectives.</li><li>Build and maintain strong relationships with clients, ensuring satisfaction and identifying opportunities for network expansions.</li></ul>Requirements:<ul><li>Proven experience in Performance marketing, with a focus on managing client projects and team leadership.</li><li>Bachelor&rsquo;s degree in Marketing, Business, Digital Media, or a related field.</li><li>Proficiency and in depth knowledge of various digital marketing channels and strategies, especially in Ad Tech and AI in platforms mainly in Google Ads, Social media ads (Facebook Ads, Instagram Advertising, Pinterest Ads, Twitter Ads) Google Analytics, and others.</li><li>Excellent communication and client-facing skills, with the ability to collaborate effectively with internal teams and clients.</li><li>Ability to create compelling content and campaigns, and to develop innovative strategies that drive results.</li><li>Demonstrated ability to drive results, meet or exceed KPIs, and adapt to evolving market trends.</li></ul>Education:<ul><li>Bachelor's (Required)</li></ul>Experience:<ul><li>Performance Marketing: 2 years (Required)</li></ul>Work Location: In person

Performance Marketing Executive

The Ghani IT Solutions

Role Overview:We are seeking a Senior AI Engineer to architect and build a high-performance, custom Voice AI infrastructure. This role focuses on developing an end-to-end real-time audio processing pipeline and an intelligent NLP engine capable of synthesizing complex regulatory data into actionable insights with sub-second latency.Key Responsibilities:- Custom Voice Infrastructure: Develop a proprietary, low-latency audio pipeline integrating Speech-to-Text (STT), Large Language Models (LLMs), and Text-to-Speech (TTS).- Intelligent Data Parsing: Architect agentic workflows to ingest complex documentation and translate technical/legal jargon into plain-language summaries.- Real-time Audio Streaming: Manage full-duplex audio transmission using WebSockets and WebRTC to achieve human-like conversational responsiveness.- Automated Information Retrieval: Build scalable scrapers and API consumers to monitor high-frequency data sources and public registries for real-time updates.- Advanced RAG Systems: Implement sophisticated Retrieval-Augmented Generation (RAG) using Vector Databases to provide the AI with deep contextual awareness.Technical Requirements:- Programming: Expert-level Python; experience with asynchronous programming and high-concurrency systems.- NLP &amp; AI: Proven experience with LangChain, LlamaIndex, and fine-tuning open-source LLMs.- Speech Processing: Experience with real-time transcription (STT) and neural speech synthesis (TTS) engines.- Data Systems: Proficiency with Vector DBs (e.g., Pinecone, Milvus) and SQL/NoSQL databases.- Protocols: Strong understanding of WebSockets, WebRTC, and real-time data streaming.Location: DHA Phase 6, KarachiShift: MorningWork Location: In person

Senior AI & Machine Learning Engineer (Speech & NLP Specialist)

Explore 203+ Artificial intelligence specialist in Karachi this May. Find roles across top companies and apply now to boost your career.

203 artificial intelligence specialist jobs In Karachi

AI Engineer

AI Videography / AI Video Generation

Sr. Artificial Intelligence (AI) Engineer

AI Engineer

Data Science, AI and ML Faculty

Performance Marketing Executive

Senior AI & Machine Learning Engineer (Speech & NLP Specialist)