ai engineer

devops engineer

expert data scientist

product manager

senior software engineer

machine learning engineer

TechnoSys

<p><b>Company Description:</b><br/>TechnoSys is a dynamic team of professionals serving the IT sector in Pakistan since 1998. We specialize in retail ERP software solutions and cater to Pakistan's top-notch local retail brands across various verticals, including Restaurant, Bakery, Supermarket, Fashion Retail, Optician, and Distributors. Our commitment to innovation and excellence has made us a leader in the industry. Join our team and contribute to shaping the future of retail technology.</p><p><b>Role Description:</b><br/>This is a full-time on-site role for an Artificial Intelligence Engineer located in Karachi. The AI Engineer will be responsible for designing and developing AI models, implementing machine learning algorithms, and conducting research on advanced AI technologies. Day-to-day tasks include pattern recognition, natural language processing, and neural networks development. The AI Engineer will collaborate with cross-functional teams to integrate AI solutions into software products and enhance system capabilities.</p><p><b>Requirements: </b></p><ul><li>Design, develop, and implement AI/ML models for various business applications.</li><li>Research and apply the latest AI technologies and best practices.</li><li>Train, test, and evaluate models using appropriate datasets.</li><li>Optimize models for performance, scalability, and accuracy.</li><li>Collaborate with software developers, data scientists, and product teams to integrate AI solutions into production systems.</li><li>Maintain and monitor deployed models to ensure reliability and performance.</li><li>Document model architecture, process flow, and performance metrics.</li><li>Contribute to innovation by proposing new AI-based features and tools.</li></ul><p><b>Qualification:</b></p><ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, AI, Data Science, or a related field.</li><li>Proven experience in AI/ML development (minimum 2&ndash;3 years preferred).</li><li>Proficiency in Python and AI frameworks (TensorFlow, PyTorch, Keras, etc.).</li><li>Strong understanding of data structures, algorithms, and statistical methods.</li></ul><p><b>Details: </b></p><ul><li>Timings: 9 am - 6 pm</li><li>Days: Monday to Friday</li><li>Market Competitive Salary package</li></ul><p>Job Type: Full-time</p><p>Work Location: In person</p>

AI Engineer

Paksa IT soloutions (Pvt.) Limited

<p>We&rsquo;re Hiring! AI Engineer / Computer Vision Engineer</p><p>Join our team and work on cutting-edge AI solutions, building intelligent systems that solve real-world problems using computer vision technologies.</p><p>What You&rsquo;ll Do</p><ul><li>Develop and train custom computer vision models</li><li>Work on object detection, image segmentation, and tracking solutions</li><li>Build and optimize data pipelines including preprocessing, augmentation, and annotation</li><li>Collaborate with cross-functional teams to deploy AI-driven solutions</li><li>Optimize models using techniques like quantization and pruning</li></ul><p>What We&rsquo;re Looking For</p><ul><li>Minimum 3+ years of experience in Computer Vision</li><li>Strong understanding of core Machine Learning concepts</li><li>Experience with custom model training</li><li>Passion for building intelligent systems and solving real-world problems</li><li>Ability to work independently and in a team environment</li></ul><p>Technical Skills</p><ul><li>Proficiency in Python (must-have)</li><li>Experience with TensorFlow, PyTorch, or OpenCV</li><li>Hands-on experience with models like YOLO, Mask R-CNN</li><li>Knowledge of data preprocessing, augmentation, and annotation pipelines</li><li>Familiarity with model optimization techniques</li></ul><p>Nice to Have</p><ul><li>Experience in Robotics</li></ul><p>Location: Onsite &ndash; Karachi</p><p>Application Question(s):</p><ul><li>Can you describe a project where you trained a custom computer vision model from scratch?</li><li>Which frameworks have you worked with (TensorFlow, PyTorch, OpenCV)?</li><li>What types of models have you implemented (e.g., object detection, image segmentation, tracking)?</li><li>Have you worked with models like YOLO or Mask R-CNN? If yes, explain your use case.</li><li>How do you handle data preprocessing, augmentation, and annotation?</li><li>What techniques have you used for model optimization (e.g., quantization, pruning)?</li><li>Describe your proficiency level in Python.</li><li>Have you deployed any computer vision models in production?</li><li>Do you have any experience in robotics or related fields?</li><li>What is your current salary?</li><li>What is your expected salary?</li></ul><p>Experience:</p><ul><li>Computer Vision: 3 years (Preferred)</li></ul><p>Work Location: In person</p>

AI & ML Developer (Full Stack)

Datamatics Global Services Ltd

<div><h1 class="jobSectionHeader"><b>Job Description</b></h1><p><b>
Job Title:</b> Expert Data Scientist &ndash; Demand Planning &amp; Forecasting (Machine Learning)<br>
<b>Project:</b> Demand Planning ML Models Initiative<br>
<b>Role Level:</b> Expert / Principal (Hands-on, Delivery-Focused)<br>
<b>Employment Type:</b> Full-Time<br>
<b>Experience:</b> 7+ Years<br>
<b>Job Location:</b> Remote<br>
<b>Job Timing:</b> Vietnam Time Zone</p><h2 class="jobSectionHeader"><b>
Role Overview</b></h2><p>
We are seeking an <b>Expert Data Scientist</b> with deep hands-on experience in <b>machine learning&ndash;based demand forecasting</b> to support the <b>ANZ Demand Planning ML Models initiative</b>.</p><p>
This role requires a senior practitioner capable of <b>independently designing, developing, and delivering enterprise-grade demand forecasting models</b>. The ideal candidate will own forecasting solutions end-to-end and help improve business decision-making through highly accurate predictive models.</p><h1 class="jobSectionHeader"><b><br>
Key Responsibilities</b></h1><h2 class="jobSectionHeader"><b>
Demand Planning &amp; Forecasting (Core Focus)</b></h2><ul><li><p>
Lead the <b>design, development, and optimization of ML-based demand forecasting models</b>.</p></li><li><p>
Work extensively with <b>time-series datasets related to sales, demand, and supply planning</b>.</p></li><li><p>
Apply and optimize <b>statistical forecasting techniques and machine learning algorithms</b>.</p></li><li><p>
Perform <b>advanced feature engineering</b> incorporating seasonality, trends, promotions, pricing, holidays, and external drivers.</p></li><li><p>
Conduct <b>back-testing, validation, and scenario analysis</b> to continuously improve forecast accuracy.</p></li></ul><h2 class="jobSectionHeader"><b><br>
Data Science Leadership &amp; Delivery</b></h2><ul><li><p>
Own the <b>end-to-end data science lifecycle</b>, from data exploration and model development to deployment support.</p></li><li><p>
Define, monitor, and optimize forecasting KPIs including <b>MAPE, RMSE, and MAE</b>.</p></li><li><p>
Review, validate, and refine forecasting methodologies to ensure accuracy and scalability.</p></li><li><p>
Clearly communicate <b>model logic, assumptions, and insights</b> to business and executive stakeholders.</p></li></ul><h2 class="jobSectionHeader"><b><br>
Collaboration &amp; Execution</b></h2><ul><li><p>
Collaborate closely with <b>Data Engineers, Analytics teams, and business stakeholders</b> to operationalize forecasting models.</p></li><li><p>
Support <b>production deployment, monitoring, and model performance improvements</b>.</p></li><li><p>
Drive <b>knowledge sharing and best practices</b> in forecasting and machine learning across teams.</p></li></ul><h1 class="jobSectionHeader"><b><br>
Required Experience</b></h1><ul><li><p><b>
7+ years</b> of experience in <b>Data Science / Machine Learning</b>.</p></li><li><p><b>
5+ years of hands-on experience in demand forecasting or demand planning using machine learning</b>.</p></li><li><p>
Proven experience delivering <b>production-grade or business-critical forecasting models</b>.</p></li><li><p>
Strong experience working with <b>enterprise-scale time-series datasets</b>.</p></li></ul><h1 class="jobSectionHeader"><b><br>
Technical Skills</b></h1><ul><li><p>
Advanced <b>Python for Data Science and Machine Learning</b>.</p></li><li><p>
Strong expertise in <b>time-series forecasting techniques</b> (statistical and ML-based).</p></li><li><p>
Experience with machine learning models such as <b>regression, tree-based models, and ensemble methods</b>.</p></li><li><p>
Advanced <b>feature engineering for demand and planning datasets</b>.</p></li><li><p>
Strong <b>SQL and data manipulation</b> capabilities.</p></li><li><p>
Experience with <b>forecast evaluation metrics (MAPE, RMSE, MAE)</b>.</p></li></ul><h1 class="jobSectionHeader"><b><br>
Soft Skills</b></h1><ul><li><p>
Strong <b>ownership and accountability mindset</b>.</p></li><li><p>
Excellent <b>analytical and problem-solving capabilities</b>.</p></li><li><p>
Ability to <b>communicate complex technical concepts to non-technical stakeholders</b>.</p></li><li><p>
Comfortable working in <b>fast-paced environments with tight delivery timelines</b>.</p></li></ul><p>
</p><p>CsmDBwnQ2M</p></div>

Expert Data Scientist

Datamatics Technologies

<div>
 Job Description
 <p>
  <strong>
   Job Title:
  </strong>
  Expert Data Scientist &ndash; Demand Planning &amp; Forecasting (Machine Learning)
  <br/>
  <strong>
   Project:
  </strong>
  &nbsp;Demand Planning ML Models Initiative
  <br/>
  <strong>
   Role Level:
  </strong>
  Expert / Principal (Hands-on, Delivery-Focused)
  <br/>
  <strong>
   Employment Type:
  </strong>
  Full-Time
  <br/>
  <strong>
   Experience:
  </strong>
  &nbsp; 7+ Years
  <br/>
  <strong>
   Job Location:
  </strong>
  Remote
  <br/>
  <strong>
   Job Timing:
  </strong>
  Vietnam Time Zone
 </p>
 Role Overview
 <p>
  We are seeking an
  <strong>
   Expert Data Scientist
  </strong>
  with deep hands-on experience in
  <strong>
   machine learning&ndash;based demand forecasting
  </strong>
  to support the
  <strong>
   ANZ Demand Planning ML Models initiative
  </strong>
  .
 </p>
 <p>
  This role requires a senior practitioner capable of
  <strong>
   independently designing, developing, and delivering enterprise-grade demand forecasting models
  </strong>
  . The ideal candidate will own forecasting solutions end-to-end and help improve business decision-making through highly accurate predictive models.
  <br/>
 </p>
 Key ResponsibilitiesDemand Planning &amp; Forecasting (Core Focus)
 <ul>
  <li>
   <p>
    Lead the
    <strong>
     design, development, and optimization of ML-based demand forecasting models
    </strong>
    .
   </p>
  </li>
  <li>
   <p>
    Work extensively with
    <strong>
     time-series datasets related to sales, demand, and supply planning
    </strong>
    .
   </p>
  </li>
  <li>
   <p>
    Apply and optimize
    <strong>
     statistical forecasting techniques and machine learning algorithms
    </strong>
    .
   </p>
  </li>
  <li>
   <p>
    Perform
    <strong>
     advanced feature engineering
    </strong>
    incorporating seasonality, trends, promotions, pricing, holidays, and external drivers.
   </p>
  </li>
  <li>
   <p>
    Conduct
    <strong>
     back-testing, validation, and scenario analysis
    </strong>
    to continuously improve forecast accuracy.
    <br/>
   </p>
  </li>
 </ul>
 Data Science Leadership &amp; Delivery
 <ul>
  <li>
   <p>
    Own the
    <strong>
     end-to-end data science lifecycle
    </strong>
    , from data exploration and model development to deployment support.
   </p>
  </li>
  <li>
   <p>
    Define, monitor, and optimize forecasting KPIs including
    <strong>
     MAPE, RMSE, and MAE
    </strong>
    .
   </p>
  </li>
  <li>
   <p>
    Review, validate, and refine forecasting methodologies to ensure accuracy and scalability.
   </p>
  </li>
  <li>
   <p>
    Clearly communicate
    <strong>
     model logic, assumptions, and insights
    </strong>
    to business and executive stakeholders.
    <br/>
   </p>
  </li>
 </ul>
 Collaboration &amp; Execution
 <ul>
  <li>
   <p>
    Collaborate closely with
    <strong>
     Data Engineers, Analytics teams, and business stakeholders
    </strong>
    to operationalize forecasting models.
   </p>
  </li>
  <li>
   <p>
    Support
    <strong>
     production deployment, monitoring, and model performance improvements
    </strong>
    .
   </p>
  </li>
  <li>
   <p>
    Drive
    <strong>
     knowledge sharing and best practices
    </strong>
    in forecasting and machine learning across teams.
    <br/>
   </p>
  </li>
 </ul>
 Required Experience
 <ul>
  <li>
   <p>
    <strong>
     7+ years
    </strong>
    of experience in
    <strong>
     Data Science / Machine Learning
    </strong>
    .
   </p>
  </li>
  <li>
   <p>
    <strong>
     5+ years of hands-on experience in demand forecasting or demand planning using machine learning
    </strong>
    .
   </p>
  </li>
  <li>
   <p>
    Proven experience delivering
    <strong>
     production-grade or business-critical forecasting models
    </strong>
    .
   </p>
  </li>
  <li>
   <p>
    Strong experience working with
    <strong>
     enterprise-scale time-series datasets
    </strong>
    .
    <br/>
   </p>
  </li>
 </ul>
 Technical Skills
 <ul>
  <li>
   <p>
    Advanced
    <strong>
     Python for Data Science and Machine Learning
    </strong>
    .
   </p>
  </li>
  <li>
   <p>
    Strong expertise in
    <strong>
     time-series forecasting techniques
    </strong>
    (statistical and ML-based).
   </p>
  </li>
  <li>
   <p>
    Experience with machine learning models such as
    <strong>
     regression, tree-based models, and ensemble methods
    </strong>
    .
   </p>
  </li>
  <li>
   <p>
    Advanced
    <strong>
     feature engineering for demand and planning datasets
    </strong>
    .
   </p>
  </li>
  <li>
   <p>
    Strong
    <strong>
     SQL and data manipulation
    </strong>
    capabilities.
   </p>
  </li>
  <li>
   <p>
    Experience with
    <strong>
     forecast evaluation metrics (MAPE, RMSE, MAE)
    </strong>
    .
    <br/>
   </p>
  </li>
 </ul>
 Soft Skills
 <ul>
  <li>
   <p>
    Strong
    <strong>
     ownership and accountability mindset
    </strong>
    .
   </p>
  </li>
  <li>
   <p>
    Excellent
    <strong>
     analytical and problem-solving capabilities
    </strong>
    .
   </p>
  </li>
  <li>
   <p>
    Ability to
    <strong>
     communicate complex technical concepts to non-technical stakeholders
    </strong>
    .
   </p>
  </li>
  <li>
   <p>
    Comfortable working in
    <strong>
     fast-paced environments with tight delivery timelines
    </strong>
    .
   </p>
  </li>
 </ul>
</div>


Confiz

<div><p>We are seeking an exceptional Senior AI Engineer to join our team and drive the development of cutting-edge AI solutions that includes conversational, Agentic AI's. This role focuses on building advanced conversational AI systems, implementation AI Agents across different use cases, implementing sophisticated RAG architectures, and deploying production-grade voice AI applications. The ideal candidate will have deep expertise in LLM technologies and a proven track record of delivering scalable AI solutions.</p>
<p>Key Responsibilities</p>
<ul><li>Design and implement advanced Retrieval-Augmented Generation (RAG) systems with sophisticated chunking strategies, multi-vector retrieval, and hybrid search architectures</li>
<li>Develop and optimize conversational AI agents with complex multi-turn dialogue management and context awareness</li>
<li>Build production-ready voicebot solutions integrating real-time speech processing pipelines</li>
<li>Architect and deploy Text-to-Speech (TTS) and Speech-to-Text (STT) systems with low latency and high accuracy</li>
<li>Design and Deploy PROD grade AI Agents that can scale up for various use cases.</li>
<li>Fine-tune large language models using various techniques.</li>
<li>Optimize model performance through prompt engineering, few-shot learning, and retrieval strategies</li>
<li>Implement evaluation frameworks and metrics for LLM outputs and conversational quality</li>
<li>Develop custom training pipelines for domain adaptation and specialized use cases</li>
<li>Design scalable AI infrastructure supporting real-time inference and high-throughput batch processing</li>
<li>Implement efficient vector databases and semantic search systems (Pinecone, Azure Search)</li>
<li>Build monitoring and observability solutions for AI systems in production</li>
<li>Stay current with latest developments in LLM architectures, RAG techniques, and voice AI technologies</li>
<li>Experiment with emerging models and frameworks to evaluate applicability to business problems</li>
<li>Contribute to technical documentation, best practices, and knowledge sharing within the team</li>
<li>Prototype and validate new AI capabilities through POCs and pilots</li>
</ul>
<p>Required Qualifications</p>
<ul><li>8+ years of software engineering experience with 4+ years focused on AI/ML engineering</li>
<li>Strong proficiency in Python and ML frameworks (PyTorch, TensorFlow)</li>
<li>Master's or PhD in Computer Science, AI/ML, or related technical field</li>
<li>Experience with open-source LLMs (Llama, Mistral, etc.) and local deployment</li>
<li>Knowledge of reinforcement learning from human feedback (RLHF) and DPO</li>
<li>Familiarity with multi-modal AI systems (vision-language models, audio-visual understanding)</li>
<li>Experience with real-time streaming architectures and WebRTC</li>
<li>Published research or contributions to open-source AI projects</li>
<li>Experience with GPU optimization and distributed training</li>
<li>Knowledge of voice biometrics, speaker diarization, or emotion recognition</li>
<li>Background in linguistics, phonetics, or speech processing</li>
<li>Deep hands-on experience with advanced RAG systems:</li>
<li>Multi-stage retrieval architectures (hybrid search, re-ranking)</li>
<li>Embedding models and vector similarity search</li>
<li>Document processing, chunking strategies, and metadata filtering</li>
<li>Query understanding and retrieval optimization</li>
<li>Multi-turn dialogue management</li>
<li>Intent recognition and slot filling</li>
<li>Context tracking and memory management</li>
<li>Integration with LLM APIs (OpenAI, Anthropic, Cohere, etc.)</li>
<li>Production experience with voicebot development:</li>
<li>Real-time audio streaming and processing</li>
<li>Voice activity detection (VAD)</li>
<li>End-to-end latency optimization</li>
<li>Integration of STT, dialogue management, and TTS components</li>
<li>Expertise in TTS and STT technologies:</li>
<li>Modern TTS systems (ElevenLabs, Soniox, Azure Speech)</li>
<li>STT engines ( Deepgram, AssemblyAI)</li>
<li>Audio preprocessing and enhancement</li>
<li>Voice cloning and customization</li>
<li>Strong experience with LLM fine-tuning:</li>
<li>Proficiency with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes)</li>
<li>Experience with MLOps tools and practices (MLflow, Weights &amp; Biases, experiment tracking)</li>
<li>Strong understanding of API design, microservices architecture, and system integration</li>
<li>Knowledge of version control, CI/CD pipelines, and deployment automation</li>
</ul>
<p>We have an amazing team of 700+ individuals working on highly innovative enterprise projects &amp; products. Our customer base includes Fortune 100 retail and CPG companies, leading store chains, fast-growth fintech, and multiple Silicon Valley startups.</p>
<p>What makes Confiz stand out is our focus on processes and culture. Confiz is <b>ISO 9001:2015</b> (QMS), <b>ISO 27001:2022</b> (ISMS), <b>ISO 20000-1:2018</b> (ITSM), <b>ISO 14001:2015</b> (EMS), <b>ISO 45001:2018 </b>(OHSMS) Certified. We have a vibrant culture of learning via collaboration and making workplace fun.</p>
<p>People who work with us work with cutting-edge technologies while contributing success to the company as well as to themselves.</p>
<p>To know more about Confiz Limited, visit: https://www.linkedin.com/company/confiz-pakistan/</p></div>

AI Architect

Hope Global School

<div><h3 class="jobSectionHeader"><b>Job Description</b></h3>
<div>AI Engineer &ndash; Agentic Data Platform designs, builds, and deploys autonomous AI agents that reason, plan, and execute tasks using LLMs, multi-agent frameworks, and enterprise data pipelines &mdash; transforming complex business operations into intelligent, self-directed, and scalable automated workflows.</div>
<h3 class="jobSectionHeader"><b>Key Responsibilities</b></h3>
<ul><li>Architect and build autonomous multi-agent AI systems at scale.</li>
<li>Integrate LLMs and agentic frameworks into enterprise data platforms.</li>
<li>Design and optimize data pipelines for AI agent consumption and retrieval.</li>
<li>Develop evaluation frameworks to monitor agent accuracy and performance.</li>
<li>Implement guardrails for safety, compliance, and production-grade reliability.</li>
<li>Collaborate with data scientists, engineers, and business stakeholders cross-functionally.</li>
<li>Research and prototype emerging agentic AI models, tools, and frameworks.</li>
<li>Translate complex business challenges into autonomous AI-native solution designs.</li>
</ul><h3 class="jobSectionHeader"><b>Skill &amp; Experience</b></h3>
<ul><li>Proficiency in Python with LangChain, LangGraph, or similar orchestration tools.</li>
<li>Strong knowledge of LLMs, prompt engineering, and AI agent design patterns.</li>
<li>Experience with cloud platforms including AWS, GCP Vertex AI, or Azure.</li>
<li>Solid understanding of vector databases, RAG pipelines, and knowledge graphs.</li>
<li>Familiarity with MLOps, CI/CD, and agent observability and monitoring tools.</li>
<li>Strong problem-solving, analytical thinking, and effective cross-functional communication.</li>
</ul>
<p><b>Note</b>: Salary depends on experience and skills and is paid in local currency.</p></div>
<br><div></div><div><ul><li><div><div>Date Posted</div>
<div>March 26, 2026</div>
</div></li><div></div><li><div><div>Location</div>
<div><div>Karachi
</div></div></div></li><div></div><li><div><div>Offered Salary:</div>
<div>3461238 - 4012509 / year</div>
</div></li><div></div><li><div><div>Expiration date</div>
<div>November 20, 2028
</div></div></li><div></div><li><div><div>Experience</div>
<div>2 Year
</div></div></li><div></div><li><div><div>Gender</div>
<div>Both
</div></div></li><div></div><li><div><div>Qualification</div>
<div>Bachelor Degree</div></div></li></ul></div>

Hiring Talent

<p>A fast paced startup Company is hiring an AI / ML Engineer.</p><p><b>Job Type:</b> Full-time, remote</p><p><b>Shift Timings:</b> 3 pm to 12 am</p><p><b>Location:</b> Shahrah-e-Faisal, Karachi</p><p><b>Industry:</b> AI / Fintech</p><p><b>Responsibilities</b></p><p>&middot; Research and evaluate techniques for improving LLM reasoning, accuracy, and efficiency &mdash; including prompting strategies, fine-tuning, distillation, and model selection</p><p>&middot; Design and run rigorous experiments with proper baselines, ablations, and statistical analysis to measure the impact of each technique</p><p>&middot; Build evaluation frameworks and benchmarks to systematically measure model quality across Yara's key tasks</p><p>&middot; Improve retrieval-augmented generation pipelines &mdash; embedding models, chunking strategies, re-ranking, query decomposition, and context window optimization</p><p>&middot; Explore fine-tuning approaches (LoRA, RLHF, DPO) to adapt foundation models for domain-specific performance</p><p>&middot; Study and reduce failure modes &mdash; hallucination, instruction drift, reasoning errors, and inconsistent structured output generation</p><p>&middot; Stay current with the research landscape (papers, open-source releases, model updates) and identify techniques with high applicability to Yara's use cases</p><p>&middot; Prototype emerging approaches (chain-of-thought, self-consistency, tool-use planning, multi-agent coordination) and measure real-world impact</p><p>&middot; Translate research findings into production-ready improvements and document results for the engineering team</p><p><b>Requirements:</b></p><p>&middot; 4-5 years in ML/AI research or applied AI engineering</p><p>&middot; Strong understanding of LLM architectures, training dynamics, and inference optimization</p><p>&middot; Hands-on experience with fine-tuning (LoRA, RLHF, DPO) and systematic model evaluation</p><p>&middot; Proficient in Python and ML frameworks (PyTorch,HuggingFace Transformers)</p><p>&middot; Experience designing experiments with proper controls, ablations, and reproducibility</p><p>&middot; Familiarity with RAG systems, embedding models, and retrieval pipelines</p><p>&middot; Strong written communication &mdash; ability to produce clear internal research reports and technical documentation</p><p>Interested candidates may apply.</p><p>Application Question(s):</p><ul><li>Are you willing to work remotely from 3 pm to 12 am?</li></ul><p>Education:</p><ul><li>Bachelor's (Preferred)</li></ul><p>Experience:</p><ul><li>AI: 4 years (Preferred)</li><li>fine-tuning: 4 years (Preferred)</li><li>PyTorch: 4 years (Preferred)</li></ul><p>Work Location: In person</p>

AI / ML Engineer

Explore 218+ Machine learning engineer in Karachi this April. Find roles across top companies and apply now to boost your career.

218 machine learning engineer jobs In Karachi

AI Engineer

AI & ML Developer (Full Stack)

Expert Data Scientist

Expert Data Scientist

AI Architect

AI Engineer

AI / ML Engineer