ai/ml engineer

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principal software engineer Jobs in Lahore

principal software engineer

senior ai / ml engineer

deep learning engineer

Axiom world (Pvt.) Ltd

We are seeking a skilled and passionate Machine Learning Engineer to join our dynamic team. As a Machine Learning Engineer, you will be responsible for developing, implementing, and optimizing machine learning models that enhance our products and solutions. You will work in a collaborative environment, with opportunities to grow and make a significant impact in the field of AI.Key Responsibilities:<ul><li>Develop and deploy machine learning models in real-world applications.</li><li>Improve and optimize existing machine learning models for better performance and scalability.</li><li>Collaborate with cross-functional teams to gather data, understand requirements, and implement AI solutions.</li><li>Research and stay updated with the latest trends in machine learning and AI technologies.</li><li>Contribute to the development of tools and frameworks for machine learning model training, evaluation, and deployment.</li><li>Write clean, maintainable, and efficient code to support machine learning workflows.</li><li>Document processes and results for future reference and knowledge sharing.</li></ul>Requirements:<ul><li>1+ years of hands-on experience in machine learning and AI model development.</li><li>Strong understanding of machine learning concepts, algorithms, and techniques.</li><li>Proficiency in Python and common data science libraries (Pandas, NumPy, Scikit-Learn, etc.).</li><li>Experience with deep learning frameworks such as TensorFlow, PyTorch, and HuggingFace.</li><li>Familiarity with NLP libraries like SpaCy, Gensim, or transformers is a plus.</li><li>Familiarity with Agentic AI Framework such as Langchain, Langgraph, Llama index,etc (Would be a Plus point).</li><li>Knowledge of model deployment techniques and tools (FastAPI, Python asyncio).</li><li>Experience with model fine-tuning and optimizing AI models for specific use cases.</li><li>Strong analytical and problem-solving skills, with attention to detail.</li><li>Ability to work effectively in a team environment and communicate complex ideas clearly.</li><li>A passion for learning and adapting to new technologies and methodologies.</li><li>Bachelor&rsquo;s degree or higher in Computer Science, Engineering, or related field (preferred).</li></ul>Office Time: 03pm - 12amLocation : Lahore (Onsite)Job Type: Full-timeWork Location: In person

ML/AI Engineer

Preesoft

Preesoft Pvt Ltd is looking for a talented and passionate AI Engineer to join our growing team! If you have a strong background in Machine Learning, Deep Learning, NLP, OCR, and Computer Vision, we want to hear from you.Responsibilities:<ul><li>Design, build, and deploy AI/ML models for real-world applications</li><li>Work on NLP, OCR, and vision-based automation projects</li><li>Collaborate with cross-functional teams to integrate AI features into products</li><li>Conduct R&amp;D on new AI technologies and frameworks</li></ul>Requirements:<ul><li>Strong knowledge of Python, TensorFlow / PyTorch, OpenCV, NLP, and Deep Learning frameworks</li><li>Hands-on experience in data preprocessing, model training, and optimization</li><li>Problem-solving and analytical thinking mindset</li><li>Minimum 2+ years of experience in AI/ML development</li></ul>Location: Lahore (On-site) Availability: Immediate Joiner PreferredJob Type: Full-timePay: Rs100,000.00 - Rs150,000.00 per monthWork Location: On the road

Urgently Hiring an AI Engineer

Tek Headquarters

About Us:TEKHQS is a global technology solutions provider headquartered in Lake Forest, California, with an offshore team of 300+ experts based in Pakistan. We specialize in Web 2.0 (Web &amp; Mobile App Development), Web 3.0 (Blockchain &amp; Crypto Platform Development), AI/ML Solutions, and ERP services as a certified partner of SAP S/4HANA, Oracle NetSuite, and Microsoft Dynamics 365 Business Central. Our expertise includes implementation, training, customization, integration, support, IT staff augmentation, and certified ERP consultancy.About the RoleWere looking for a passionate Mid-Level AI/ML Software Engineer with &#65279;2-3 years experience to join TEKHQS in Lahore. Youll work on exciting AI and machine learning projects, helping build and deploy innovative solutions in deep learning and generative AI. This role is perfect for someone eager to dive into real-world AI challenges, learn cutting-edge techniques, and contribute to our global tech solutions. Expect to work with raw data, experiment with models, and collaborate with a talented team to bring ideas to life.Key Responsibilities<ul><li>&#65279;Build and train AI models, including transformer-based models (e.g., BERT, GPT, or similar), using GPU-based environments.</li><li>Support the development of GenAI systems, including tasks like data preprocessing, model training, and fine-tuning.</li><li>Experiment with model optimization techniques, such as quantization or efficient attention mechanisms.</li><li>Help implement state-of-the-art AI methods from research papers or open-source frameworks.</li><li>Manage parts of the model lifecycle: data preparation, training, evaluation, and deployment.</li><li>Work with multi-modal data (e.g., text, images) to support cross-domain AI applications.</li><li>Collaborate with senior engineers to optimize models for performance, including low-latency inference and memory efficiency.</li><li>Write clean, modular Python code and contribute to CI/CD pipelines for model deployment.</li></ul>Requirements:Core AI/ML Skills:<ul><li>Familiarity with deep learning concepts like transformers, self-attention, or normalization techniques (e.g., LayerNorm).</li><li>Basic understanding of token sampling (e.g., Top-k, Top-p) or training strategies like curriculum learning.</li><li>Experience with supervised or unsupervised learning (e.g., classification, regression, or masked modeling).</li></ul>Training Infrastructure:<ul><li>Hands-on experience with Python-based ML frameworks like PyTorch, TensorFlow, or HuggingFace.</li><li>Exposure to distributed training or mixed precision (e.g., fp16) is a plus.</li><li>Familiarity with data formats like CSV, JSON, or Parquet for model training.</li></ul>Model Optimization &amp; Serving:<ul><li>Basic knowledge of model optimization techniques (e.g., quantization or pruning).</li><li>Exposure to model serving tools (e.g., HuggingFace Inference, ONNX, or similar) is a plus.</li></ul>GenAI Systems:<ul><li>Interest in generative AI, including LLMs or Retrieval-Augmented Generation (RAG).</li><li>Familiarity with tokenizers (e.g., Byte Pair Encoding or SentencePiece) is a bonus.</li></ul>Software Engineering:<ul><li>Ability to write clean, testable Python code.</li><li>Basic experience with version control (e.g., Git) and CI/CD pipelines.</li><li>Familiarity with Docker or profiling tools (e.g., PyTorch Profiler) is a plus.</li></ul>Mathematical Foundations:<ul><li>Understanding of core concepts like gradient descent, loss functions (e.g., cross-entropy), or basic linear algebra.</li><li>Comfortable with probability and statistics for data analysis or model evaluation.</li></ul>Job Details:Experience: Minimum 3 years of AI/ML or software development experience, including 1+ year in deep learning or GenAI projects.Job Type: HybridJob Type: Full-timeWork Location: In person

AI/ML Engineer

Motive

<div>
 
 Who We Are
 
 
 
 Motive empowers the people who run physical operations with tools to make their work safer, more productive, and more profitable. For the first time ever, safety, operations and finance teams can manage their drivers, vehicles, equipment, and fleet related spend in a single system. Combined with industry leading AI, the Motive platform gives you complete visibility and control, and significantly reduces manual workloads by automating and simplifying tasks.
 
 
 Motive serves nearly 100,000 customers &ndash; from Fortune 500 enterprises to small businesses &ndash; across a wide range of industries, including transportation and logistics, construction, energy, field service, manufacturing, agriculture, food and beverage, retail, and the public sector.
 
 
 Visit gomotive.com to learn more.
 
 
 
 About The Role
 
 
 
 As a Computer Vision Engineer, you will be a part of a passionate team whose mission is to bring intelligence to the world&rsquo;s trucks. The team is focused on building technology to understand driving behavior, identify risk factors, and intelligently suggest coachable events that not only improves the fleet safety and potentially save millions of dollars but also contribute to making the roads safer. You will have a unique opportunity to work with a high caliber and fast-paced team which consists of experienced researchers and engineers in Computer Vision, Machine Learning, Deep Learning, and Robotics with a track record of previous products and top-tier publications.
 
 
 You will play a critical role in building and improving a technology that will be used by millions of trucks. In this role, you will design and implement complex computer vision systems. You will have the opportunity to build and/or improve algorithms for edge processing, implement cloud services, and integrate them to deliver end-to-end product features. You will also get exposure to large-scale ML infra and scaling that facilitates large amounts of data to train, test, and validate computer vision systems.
 
 
 
 What You&rsquo;ll Do
 
 
 
 <ul>
 <li>
 Improve the performance of our models and algorithms already in production
 </li>
 <li>
 Build and optimize CV/ML algorithms for real-time performance so they can run on our embedded platform i.e. the next-gen AI dashcam
 </li>
 <li>
 Write proficient Python and C++ code to build and improve CV algorithms, ML services, training, model compression and porting pipelines
 </li>
 <li>
 Convert state-of-the-art research prototypes into reliably working product features
 </li>
 <li>
 Collaborate with RnD team working in Computer Vision, Machine Learning, and Robotics, along with ML Platform, Embedded, Backend, and Frontend teams to deliver end-to-end product features
 </li>
 <li>
 Solve challenging object detection, segmentation, recognition, and geometric computer vision problems.
 </li>
 <li>
 Build automated deployment, validation, and active learning pipelines.
 
 
 </li>
 </ul>
 
 What We&rsquo;re Looking For
 
 
 
 <ul>
 <li>
 Bachelors degree in computer science, software engineering, data science, artificial intelligence, or related field.
 </li>
 <li>
 Masters or PhD in Computer Vision, Deep Learning, and Machine Learning (preferred)
 </li>
 <li>
 Solid mathematical foundation in Computer Vision, Deep Learning, Machine Learning, and optimization approaches.
 </li>
 <li>
 Hands-on experience in training framework and tools (TensorFlow | Pytorch | Caffe)
 </li>
 <li>
 Strong experience in Python or C++
 </li>
 <li>
 Hands-on experience in building embedded algorithms and applications
 </li>
 <li>
 Experience in the following tools and technologies is a plus: AWS (SageMaker, Lambda, EC2, S3, RDS), CI/CD, Terraform, Docker, and Kubernetes.
 </li>
 <li>
 Prior experience with Eigen library and RTOS is a strong plus
 
 
 </li>
 </ul>
 
 Creating a diverse and inclusive workplace is one of Motive's core values. We are an equal opportunity employer and welcome people of different backgrounds, experiences, abilities and perspectives.
 
 
 
 
 Please review our Candidate Privacy Notice here .
 
 
 
 
 UK Candidate Privacy Notice here.
 
 
 
 
 The applicant must be authorized to receive and access those commodities and technologies controlled under U.S. Export Administration Regulations. It is Motive's policy to require that employees be authorized to receive access to Motive products and technology.
 
</div>

Computer Vision Engineer

Pixalate, Inc.

<div><div>AI Engineer *PhD Required 
Employment Type: Full-Time 
Location: Remote, Pakistan 
 
Transform AI Research into Real-World Impact 
 
As an AI Research Engineer at Pixalate, you'll bridge the gap between fundamental AI research and production systems that protect the digital ecosystem. Working with our Research team (AFAC) that has uncovered more than $100M in ad fraud and national security threats, you'll have the autonomy to pursue groundbreaking research while seeing your innovations deployed at scale within months, not years. 
 
You'll lead research in emerging AI paradigms including autonomous agent systems, test-time compute optimization, and multimodal understanding - all applied to real-world challenges in digital safety and fraud detection. 
 
Key Research Areas &amp; Responsibilities 
 
Agentic AI Systems Development</div><ul><li>
Design and implement multi-agent architectures for autonomous fraud detection and analysis</li><li>
Develop sophisticated agent coordination systems using frameworks like LangChain, AutoGen, or custom architectures</li><li>
Create tool-integrated AI agents capable of complex reasoning and decision-making</li><li>
Research novel approaches to agent safety and alignment in production environments</li></ul><div>
Advanced Reasoning &amp; Test-Time Compute</div><ul><li>
Implement state-of-the-art reasoning systems inspired by recent breakthroughs (o1, DeepSeek-R1)</li><li>
Optimize inference-time compute allocation for complex analytical tasks</li><li>
Develop chain-of-thought and verification mechanisms for high-stakes decision making</li><li>
Research novel approaches to scaling reasoning capabilities efficiently</li></ul><div>
Multimodal AI &amp; Knowledge Systems</div><ul><li>
Build advanced multimodal models for analyzing video, image, text, and behavioral data</li><li>
Develop sophisticated RAG (Retrieval-Augmented Generation) architectures:<ul><li>
Design high-performance vector databases and hybrid search systems</li><li>
Implement advanced chunking strategies and semantic understanding</li><li>
Create context-aware retrieval mechanisms for complex documents</li></ul></li><li>
Research cross-modal learning for fraud pattern detection</li></ul><div> 

Required Qualifications</div> 

PhD in Computer Science, AI, Machine Learning, or related field (or exceptional research track record)<ul><li>
Published research in peer-reviewed venues demonstrating expertise in:<ul><li>
Large Language Models and transformer architectures</li><li>
Agentic AI, autonomous systems, or multi-agent coordination</li><li>
Multimodal learning or computer vision</li><li>
Distributed systems and scalable ML</li></ul></li></ul><div>
Technical Expertise</div><ul><li>
Expert proficiency in Python and deep learning frameworks (PyTorch preferred, TensorFlow)</li><li>
Advanced experience with:<ul><li>
Modern AI frameworks: LangChain, Hugging Face Transformers, Ray</li><li>
Agent development and orchestration</li><li>
RAG systems and vector databases</li><li>
Distributed training frameworks and GPU optimization</li></ul></li><li>
Strong understanding of:<ul><li>
Transformer architectures and attention mechanisms</li><li>
Reinforcement learning and reward modeling</li><li>
Neural architecture search and AutoML</li><li>
MLOps and production ML systems</li></ul></li></ul><div>
Research Skills</div><ul><li>
Track record of novel algorithm development and innovation</li><li>
Experience with large-scale experimentation and ablation studies</li><li>
Proficiency in research tools: Weights &amp; Biases, MLflow, TensorBoard</li><li>
Strong theoretical foundation in optimization, statistics, and linear algebra</li></ul><div> 

Preferred Qualifications 
</div><ul><li>
Experience with fraud detection, cybersecurity, or trust &amp; safety applications</li><li>
Contributions to open-source AI projects</li><li>
Industry research experience at leading AI labs (DeepMind, OpenAI, FAIR, etc.)</li><li>
Experience translating research into production systems</li><li>
Experience with:<ul><li>
Mixture of Experts (MoE) architectures</li><li>
Constitutional AI and alignment techniques</li><li>
Efficient inference optimization (quantization, distillation)</li><li>
Real-time streaming ML systems</li></ul></li></ul>
We're particularly interested in candidates who can demonstrate both theoretical depth and practical implementation skills. Show us how your research can transform the landscape of online trust and safety. 
<div><div>
Benefits 
 
At Pixalate, we offer an extremely competitive salary, outstanding benefits, and a dynamic work environment. You will have the opportunity to work on pioneering technologies alongside some of the brightest minds in the industry. If you're passionate about maintaining high software quality and thrive in a fast-paced, challenging environment, you'll fit right in. 
</div><ul><li>
Monthly internet reimbursement</li><li>
Casual, remote work environment</li><li>
Hybrid, flexible hours</li><li>
Opportunity for advancement</li><li>
Fun annual team events</li><li>
Being part of a high performing team that wants to win and have fun doing it</li></ul><div>
About us 
 
Pixalate is an online trust and safety platform that protects businesses, consumers and children from deceptive, fraudulent and non-compliant mobile, CTV apps and websites. 
 
We're seeking a PhD-level AI Engineer to lead cutting-edge research in agentic AI systems, multimodal analysis, and advanced reasoning architectures that will directly impact millions of users worldwide. Our software and data have been used to unearth multiple high profile criminal and illegal surveillance cases including: 
</div><ul><li>
UNICEF: Pixalate was recently recognized by UNICEF as a Key Innovator for protecting children&rsquo;s online privacy. &amp; UNICEF Global Compliance Tech case study</li><li>
Gizmodo: An iCloud Feature Is Enabling a $65 Million Scam, New Research Says</li><li>
Adweek: A 7-Figure Ad Fraud Scheme Running on Roku Underlines Murkiness of CTV</li><li>
Washington Post: Your kids&rsquo; apps are spying on them</li><li>
Pro Publica: Porn, Piracy, Fraud: What Lurks Inside Google&rsquo;s Black Box Ad Empire</li><li>
ABC7 News: The State of Children's Privacy Online</li><li>
NBC News: How many apps are tracking your children</li></ul>
Our team of lawyers, data scientists, engineers, economists and researchers span globally with presence in California, New York, Washington DC, London and Singapore.Pixalate is an equal opportunity employer committed to building a diverse team. 
 
We particularly encourage applications from underrepresented groups in AI research. 
</div>
#LI-MW1
1067I4tGuT</div>

AI Engineer (PhD Required)

Code Graphers

Key ResponsibilitiesModel Development &amp; Implementation<ul><li>Design, train, and fine-tune machine learning and deep learning models for NLP, computer vision, and predictive analytics tasks.</li><li>Work with frameworks like TensorFlow, PyTorch, and Scikit-learn for building and deploying ML models.</li><li>Assist in developing RAG (Retrieval Augmented Generation) pipelines and LLM-based applications under senior supervision.</li><li>Implement and maintain APIs using frameworks like FastAPI, Flask, or Django for ML model integration.</li></ul>Data Handling &amp; Preprocessing<ul><li>Perform data cleaning, feature extraction, and transformation for model readiness.</li><li>Contribute to building and maintaining data pipelines for training and inference stages.</li></ul>Deployment &amp; MLOps<ul><li>Containerize ML solutions using Docker and participate in deploying models to production environments.</li><li>Support MLOps workflows, version control using DVC, and CI/CD pipelines for continuous delivery.</li></ul>Research &amp; Collaboration<ul><li>Stay updated with the latest trends in AI, LLMs, and computer vision.</li><li>Collaborate with cross-functional teams, data engineers, and senior ML engineers to ensure robust system integration.</li><li>Document workflows, experiments, and technical findings clearly.</li></ul>QualificationsEducation:<ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Data Science, Artificial Intelligence, or a related discipline.</li></ul>Experience:<ul><li>2&ndash;3 years of hands-on experience in machine learning model development and deployment.</li><li>Strong understanding of fundamental ML algorithms and their mathematical background.</li><li>Exposure to NLP, Computer Vision, or LLM-based systems is preferred.</li></ul>Technical Skills:<ul><li>Proficient in Python and familiar with libraries such as NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch.</li><li>Knowledge of LLMs, LangChain, or RAG frameworks is a plus.</li><li>Experience with RESTful APIs and backend integration.</li><li>Familiarity with Git, Docker, and cloud platforms (AWS, GCP, or Azure).</li></ul>Nice to Have<ul><li>Experience with LoRA, QLoRA, or model fine-tuning techniques.</li><li>Familiarity with image classification, object detection, or segmentation tasks.</li><li>Exposure to auto-scaling, model optimization, or embedded ML applications.</li><li>Interest in learning advanced AI concepts like multi-agent systems, meta-learning, and generative AI.</li></ul>Job Type: Full-timeApplication Question(s):<ul><li>Did you have experience with Computer vision, LLM, nlp and Audio?</li></ul>Experience:<ul><li>Machine Learning : 2 years (Required)</li></ul>Work Location: In person

Machine Learning Engineer

xiHawks

We&rsquo;re Hiring: Python Developer (AI/ML Specialist)Location: Bahria Orchard, Raiwind Road, Lahore (Onsite) Type: Full-Time Experience: 2&ndash;4 Years&#10024; About the Role xiHawks is looking for a Python Developer with AI/ML expertise to craft intelligent, data-driven solutions. If you thrive in building scalable ML models, AI-powered apps, and real-world automation, this is the role for you!Key Responsibilities Develop &amp; maintain Python-based applications with AI/ML focus Build, train &amp; optimize ML/DL models (TensorFlow, PyTorch, Scikit-learn) Work on NLP, Computer Vision, and predictive analytics Deploy ML models using APIs, Docker, and cloud platforms (AWS/GCP/Azure) Collaborate with cross-functional teams to integrate AI features Ensure model scalability, performance &amp; real-time processingWhat We&rsquo;re Looking For Strong Python skills + ML frameworks (TensorFlow, PyTorch, Keras, Scikit-learn) Experience with data preprocessing, feature engineering &amp; model deployment Knowledge of REST APIs, Flask/Django, and cloud ML services Bonus: Hands-on with NLP, Computer Vision, or Deep Learning projects Analytical mindset + problem-solving + teamworkPerks &amp; Benefits Competitive Salary Package Fuel Allowance 34 Paid Leaves Medical Insurance Provident Fund Cutting-edge projects in AI/MLHow to Apply Send your CV to hr@xihawks.com with subject line: &ldquo;Application &ndash; Python Developer (AI/ML Specialist)&rdquo;&#10024; Be part of a team where innovation meets intelligence &ndash; Join xiHawks today!#xiHawks #HiringNow #PythonDeveloper #AI #MachineLearning #DeepLearning #DataScience #LahoreJobs #CareerGrowthJob Type: Full-timePay: Rs100,000.00 - Rs170,000.00 per monthApplication Question(s):<ul><li>This is an on-site Role. Our office is located at Bahria Orchard, Raiwind Road, Lahore. Can you commute here for this on-site work? Office hours are 8 AM to 5 PM (Mon-Fri).</li></ul>Work Location: In person

Python Developer

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