software engineer Jobs in Lahore Pakistan

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agentic ai engineer Jobs in Lahore Pakistan

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ai engineer (machine learning & prd specialist)

deep learning engineer

Sharp Brains Ltd

Role Overview: AI/ML Engineer (Animation Technology)As an AI/ML Engineer within our Animation Department your mission is to bridge the gap between complex machine learning research and the creative production pipeline.Key Responsibilities<ul><li>Generative AI Development: Design and deploy GANs, Diffusion models, and Transformers specifically tailored for character animation, background synthesis, and texture generation.</li><li>Motion Synthesis &amp; Rigging: Develop ML-driven solutions for automated rigging, muscle simulation, and motion retargeting to create more fluid, lifelike character movements.</li><li>Pipeline Integration: Collaborate with Technical Directors (TDs) to integrate AI tools directly into industry-standard software like Maya, Houdini, or Unreal Engine.</li><li>Neural Rendering: Explore and implement Neural Radiance Fields (NeRFs) and other AI-driven rendering techniques to optimize lighting and look-development workflows.</li><li>Dataset Curation: Build and manage high-quality datasets derived from our internal library of motion capture and hand-keyed animation to train proprietary models.</li></ul>Core Requirements<ul><li>Technical Proficiency: Strong mastery of Python, PyTorch, or TensorFlow. Experience with C++ is a significant plus for high-performance tool integration.</li><li>Domain Knowledge: Solid understanding of 3D mathematics (linear algebra, quaternions) and the standard animation pipeline (Modeling $\rightarrow$ Rigging $\rightarrow$ Animation $\rightarrow$ Rendering).</li><li>ML Expertise: Proven experience in Computer Vision (CV), Deep Learning, and specifically Generative Modeling.</li></ul>Preferred Qualifications<ul><li>Experience with OpenUSD (Universal Scene Description).</li><li>Prior work with Real-time engines (Unreal Engine 5 / Unity).</li><li>A portfolio or GitHub showing projects related to style transfer, automated lip-syncing, or pose estimation.</li></ul>Job Type: Full-timePay: Rs75,000.00 - Rs85,000.00 per monthWork Location: In person

AI/ML Engineer (Animation Technology)

Ophthalytics Inc

Salary: PKR 120,000 &ndash; 280,000 / month (based on experience/results) Shift: (First three months and then flexible timings) 6:00 PM &ndash; 3:00 AM PKT | RemoteAbout OphthalyticsOphthalytics is a fast-growing US healthcare AI startup expanding globally. Our mission is to end preventable blindness worldwide by enabling early detection of vision-threatening diseases using advanced imaging and AI.We are among a small number of companies building Explainable AI (XAI) algorithms&mdash;AI that produces clinically meaningful outputs with transparency and trust.Recognition &amp; Momentum<ul><li>Named one of Georgia&rsquo;s Top 10 Most Innovative Companies (2025)</li><li>Partnerships and collaborations with world-class research ecosystems, including Georgia Tech, and research relationships involving leading institutions such as Yale and Harvard</li><li>Rapid expansion across new regions, customers, and product capabilities</li></ul>Role SummaryWe are hiring a Computer Vision Engineer with strong deep learning expertise and proven ability to build production-ready ML systems on AWS. TensorFlow is preferred, but you should also be comfortable working with PyTorch and other modern ML frameworks as needed.This is a high-ownership, fast-paced role with significant growth potential. You will work directly with the Founder, with high visibility and real impact on product direction and execution.Key Responsibilities<ul><li>Build and improve computer vision models for:</li><li>Classification (including multi-label)</li><li>Object detection</li><li>Segmentation</li><li>Image quality assessment / quality gating</li><li>Implement and fine-tune modern deep learning architectures:</li><li>EfficientNet, ConvNeXt</li><li>Vision Transformers (ViT, Swin)</li><li>Own evaluation and reporting:</li><li>F1, AUROC, sensitivity/specificity, thresholding, error analysis, experiment tracking</li><li>Data management &amp; data engineering (required):</li><li>design/maintain dataset pipelines (ingestion, cleaning, normalization, deduplication)</li><li>dataset versioning and lineage, train/val/test split strategy</li><li>labeling workflow support, metadata management, and quality checks</li><li>build reproducible data + training pipelines with clear documentation</li><li>Build scalable training and deployment workflows on AWS</li><li>Productionize models for deployment (as needed):</li><li>TensorFlow Serving / TF-TRT / TFLite</li><li>TorchScript / ONNX (plus)</li><li>latency/throughput optimization and reliability checks</li><li>Maintain strong software engineering standards:</li><li>clean code, Git/PR workflows, documentation, and unit/integration testing</li></ul>Required Qualifications<ul><li>3+ years of hands-on experience in computer vision / deep learning (or equivalent portfolio)</li><li>TensorFlow 2.x / Keras preferred, plus working knowledge of PyTorch and/or other ML frameworks</li><li>Strong Python skills</li><li>Strong grasp of CV modeling and training best practices (losses, augmentation, imbalance handling)</li><li>Strong evaluation experience (F1, AUROC, sensitivity/specificity, calibration, error analysis)</li><li>AWS is required: S3, EC2, IAM, CloudWatch (minimum); experience running ML workloads on AWS</li><li>Strong knowledge of data management and data engineering for ML pipelines and large datasets</li><li>Strong software development best practices (testing, code reviews, maintainable architecture, Git)</li></ul>Preferred Qualifications<ul><li>AWS SageMaker, ECR, ECS/EKS, Step Functions, Terraform/IaC</li><li>MLOps experience: experiment tracking, model registry, drift monitoring</li><li>Explainability methods: Grad-CAM / saliency / attention visualization</li><li>Medical imaging familiarity (bonus): DICOM/DICOMWeb, clinical workflow exposure</li></ul>Why Join Ophthalytics<ul><li>High-impact mission: your work supports early detection and prevention of blindness globally</li><li>Fast-paced environment: high ownership, rapid iteration, real production outcomes</li><li>Direct access to leadership: work directly with the Founder and influence priorities</li><li>Huge growth potential: opportunity to grow into senior/lead roles as the team scales</li><li>World-class ecosystem: collaborations and partnerships connected to leading research institutions and innovation hubs</li></ul>How to ApplyPlease send:<ul><li>Resume to awais@ophthalytics.com</li><li>Email Subject: CV Engineer</li><li>Answer: your strongest area (classification/detection/segmentation), and highlight one production deployment you&rsquo;ve delivered</li></ul>Job Type: Full-timePay: Rs80,000.00 - Rs250,000.00 per monthWork Location: Hybrid remote in Lahore

Computer Vision Engineer (TensorFlow Preferred) — Full-Time — Remote (Pakistan) | Night Shift

Mohkaab Enterprise

Location: Lahore (On-site)Office Timing: 12:30 PM &ndash; 9:00 PMSalary: Competitive, based on experienceContract Type: Full-Time, PermanentExperience: 3+ Years of ExperienceAbout Us:We are a leading provider of innovative software solutions in UK, focused on delivering cutting-edge technologies that drive efficiency, automation, and smart decision-making. Our platform is already in use across various industries, and we&rsquo;re looking for an AI Expert to enhance and evolve our software with advanced AI capabilities. Join us and help shape the future of smart software solutions!Responsibilities:<ul><li>Design and deploy LLM-powered tools, chat assistants, and automation modules</li><li>Implement AI/ML pipelines for inference deployment at scale</li><li>Collaborate with Backend developers to integrate AI APIs and background processing</li><li>Optimize model performance and latency, especially on low-resource GPU environments</li><li>Explore and fine-tune open-source models (e.g., LLaMA, Mistral, SQL coders, etc.)</li><li>Monitor performance, usage, and resource allocation across multiple user sessions</li><li>Contribute to AI roadmap, architecture decisions, and deployment best practices</li></ul>Required Skills:<ul><li>Hands-on experience with LLMs, NLP, and custom model training/fine-tuning</li><li>Proficiency in Python and frameworks like PyTorch or TensorFlow</li><li>Familiarity with Hugging Face, LangChain, LLM orchestration, and prompt engineering</li><li>Experience deploying AI on AWS or Linux-based environments with Docker</li><li>Experience integrating high-performance LLM serving frameworks (e.g., vLLM, TGI) into backend APIs with support for parallel and batched inference</li><li>Comfortable working with MySQL/MariaDB, Redis, and job queues</li><li>Ability to build and manage GPU-efficient inference workloads</li></ul>Nice to Have:<ul><li>Knowledge of multi-tenant inference services or load balancing for AI APIs</li><li>Experience with healthcare AI or analytics dashboards</li></ul>Job Type: Full-timePay: Rs150,000.00 - Rs350,000.00 per monthWork Location: In person

AI Expert – Smart Software Solutions

Axix Technologies

About the RoleAxix Technologies is hiring a high-potential AI Engineer Intern to work on production-grade Computer Vision, AI Agents, and end-to-end AI platforms. This role is not research-only&mdash;you&rsquo;ll build, deploy, optimize, and scale real systems used in live environments. Top performers will be offered a full-time position.Core Responsibilities<ul><li>Develop person detection &amp; tracking systems using YOLO, DeepSORT, ByteTrack</li><li>Build real-time video analytics pipelines</li><li>Design and deploy AI Agents &amp; agent workflows</li><li>Implement ML/DL model optimization (quantization, distillation, pruning)</li><li>Deploy models using OpenVINO / ONNX Runtime</li><li>Containerize services using Docker</li><li>Build microservices-based AI backends</li><li>Deploy and manage workloads on Kubernetes</li><li>Develop full-stack interfaces for AI systems (dashboards, APIs)</li><li>Integrate AI workflows using n8n automation</li></ul>Required Skills (Indeed SEO Optimized)<ul><li>Strong fundamentals in Computer Vision, ML &amp; Deep Learning</li><li>Hands-on with person detection &amp; tracking (DeepSORT, YOLO, OpenCV)</li><li>Experience with PyTorch / TensorFlow</li><li>Knowledge of AI Agents, Agent Orchestration &amp; Agent Flows</li><li>Familiarity with Cursor / AI-assisted IDEs</li><li>Experience with Docker &amp; containerized deployments</li><li>Understanding of microservices architecture</li><li>Basic working knowledge of Kubernetes (K8s)</li><li>Experience building REST APIs (FastAPI / Flask / Node.js)</li><li>Exposure to full-stack development (React/Vue + backend)</li><li>Strong Python skills (mandatory)</li></ul>Nice to Have<ul><li>MLOps basics (CI/CD, model versioning)</li><li>Edge AI or camera-based systems</li><li>LLMs, LangChain, RAG pipelines</li><li>Cloud platforms (AWS / GCP / Azure)</li></ul>What You&rsquo;ll Get<ul><li>PKR 20,000 monthly stipend</li><li>Work on enterprise-scale AI &amp; surveillance platforms</li><li>Exposure to real-time, high-load AI systems</li><li>Mentorship from senior AI &amp; systems architects</li><li>Clear career path to full-time AI Engineer</li><li>Hands-on experience with modern AI + DevOps stack</li></ul>How to ApplyEmail: careers@axixtechnologies.com WhatsApp/Call: 0300-1119405 Office: 138D1, Main Boulevard, Gulberg III, LahoreSubject: AI Engineer Intern &ndash; Computer Vision &amp; Full-StackJob Type: Full-timePay: Rs20,000.00 per monthWork Location: In person

AI Engineer Intern (Computer Vision | AI Agents | Full-Stack | MLOps)

Digital Dost Pvt Limited

We are seeking a Senior Python Web &amp; AI/ML Engineer with 5+ years of experience to build and deploy scalable web applications and production-grade AI/ML systems. This is an onsite role requiring strong expertise in Python, Machine Learning, and MLOps.Responsibilities<ul><li>Develop Python-based web applications and APIs</li><li>Build and deploy end-to-end ML pipelines</li><li>Design and optimize ML/DL models for production</li><li>Work on NLP, Computer Vision, or predictive modeling use cases</li><li>Deploy models using Docker, Kubernetes, and cloud platforms</li><li>Integrate AI models into production systems</li><li>Optimize, debug, and scale AI pipelines</li></ul>Required Qualifications<ul><li>5+ years of experience in ML, Deep Learning, or Applied AI</li><li>Strong Python skills with TensorFlow, PyTorch, Scikit-learn</li><li>Experience with ML pipelines and MLOps tools (MLflow, Kubeflow, Airflow, DVC)</li><li>Hands-on experience with Docker, Kubernetes, and API deployment</li><li>Experience with SQL and NoSQL databases</li><li>Knowledge of AWS, Azure, or GCP</li><li>Strong software engineering fundamentals</li><li>Bachelor&rsquo;s or Master&rsquo;s degree in CS, AI, ML, Data Science, or related field</li></ul>Preferred Qualifications<ul><li>Experience with LLMs, Generative AI, RAG, and prompt engineering</li><li>Experience with vector databases (Pinecone, FAISS, Weaviate, ChromaDB)</li><li>Experience with real-time inference systems</li><li>Background in Big Data or Data Engineering (Spark, Kafka, Databricks)</li><li>Open-source, research, or Kaggle experience</li></ul>Job Type: Full-timePay: Rs300,000.00 - Rs500,000.00 per monthWork Location: In person

Senior Python Web & AI/ML Engineer (Onsite)

Cloudelligent

<div>Position Title: Sr. AWS AI Engineer 
Location: Lahore 
Job Timings: 6pm-3am Pakistan Time (PKT) 
 
About Cloudelligent 
 
Cloudelligent is Cloud-native consultancy and AWS Advanced consulting partner! We specialize in providing bespoke cloud solutions to startups and SMBs. Being a next-gen cloud service provider, Cloudelligent helps businesses to make the most out of their cloud investment. We have an international footprint with a diverse team of domain experts, and we are customer obsessed. 
 
Job Objective 
 
As a Sr. AWS AI Engineer at Cloudelligent, you will drive the development of innovative artificial intelligence solutions. This role emphasizes the implementation, optimization, and deployment of AI models while collaborating with cross-functional teams to enhance our products and services. The ideal candidate will possess a strong foundation in both machine learning and deep learning. Additionally, this role will lead and manage a team of AI engineers, guiding their growth and ensuring the successful delivery of AI-driven solutions. 
 
Responsibilities:<ul><li>
Implement and fine-tune pre-trained AI models tailored to meet specific industry needs.</li><li>
Utilize cloud-based AI services, particularly AWS Bedrock, Amazon SageMaker, Amazon Rekognition, and OpenAI, to streamline development and deployment processes.</li><li>
Leverage AWS data services, including Amazon Athena, Amazon Redshift, OpenSearch, Kendra and AWS Glue, for efficient data processing and analysis.</li><li>
Optimize AI models for performance, accuracy, and efficiency, ensuring they meet real-world requirements.</li><li>
Apply techniques to reduce AI hallucination and enhance model reliability.</li><li>
Utilize Retrieval-Augmented Generation (RAG) techniques to improve AI response quality.</li><li>
Work with vector databases, specifically PostgreSQL with pgvector, for efficient similarity search and information retrieval in AI applications.</li><li>
Collaborate with cross-functional teams to seamlessly integrate AI capabilities into our products and services.</li><li>
Engage in prompt engineering to enhance model interaction and output quality.</li><li>
Stay updated on the latest trends and advancements in AI technologies, contributing to the adoption of new tools and techniques.</li></ul>
Requirements:<ul><li>
Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, AI, Machine Learning, or a related field.</li><li>
5+ years of hands-on experience in AI/ML development with a strong focus on AWS-based AI services.
</li><li>Advanced proficiency in Python and expertise in AI/ML frameworks such as TensorFlow, PyTorch, or Keras.</li><li>
Extensive experience with AWS AI services, including Amazon SageMaker, AWS Bedrock, and integrating Azure OpenAI into cloud-based solutions.</li><li>
In-depth knowledge of AWS data services, including Amazon Athena, Amazon Redshift, AWS Glue, and their application in AI/ML pipelines.</li><li>
Expertise in Agentic Behavior in AI and deploying models using technologies like CrewAI, LangGraph, and Langchain.</li><li>
Experience with vector databases and similarity search techniques for scalable AI solutions.</li><li>
Understanding of AI/ML algorithms and architectures, including CNNs, RNNs, transformers, and experience building end-to-end solutions.</li><li>
Expertise in data preprocessing, feature engineering, and model evaluation at scale.</li><li>
Demonstrated ability to lead AI/ML projects and communicate complex ideas effectively to both technical and non-technical stakeholders.</li></ul>
Good to Have:<ul><li>
Experience with machine learning frameworks and libraries like TensorFlow, PyTorch, or Scikit-learn.</li><li>
Knowledge of big data technologies such as Apache Spark or Hadoop.</li><li>
Familiarity with data visualization tools and techniques.</li></ul>
Highly Desirable:<ul><li>
Relevant certifications (e.g., AWS Certified Machine Learning &ndash; Specialty, AWS Certified AI Practitioner).</li></ul> 

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Sr. AWS AI Engineer

Devsinc

<div>
 We are seeking a highly skilled
 
 Senior Data Engineer
 
 to design, build, and optimize scalable data pipelines, storage layers, and analytics infrastructure. The ideal candidate has strong data engineering foundations, deep experience with distributed data systems, and the ability to turn complex business requirements into high-performance, production-grade data solutions. The role also requires leadership in driving complex data projects end-to-end.
 
 
 
 Key Responsibilities:
 
 
 
 
 Leadership &amp; Project Management
 
 
 
 <ul>
 <li>
 Lead end-to-end technical delivery of data engineering projects.
 </li>
 <li>
 Define technical scope, timelines, and engineering milestones.
 </li>
 <li>
 Manage and coordinate multiple stakeholders (data scientists, ML engineers, backend teams, and product teams).
 </li>
 <li>
 Conduct architectural reviews, ensure engineering best practices, and drive technical decision-making.
 </li>
 <li>
 Mentor junior and mid-level engineers, fostering a culture of learning and excellence.
 </li>
 <li>
 Oversee code quality, documentation, and adherence to team standards.
 </li>
 <li>
 Proactively identify risks, dependencies, and areas for improvement across projects.
 
 
 </li>
 </ul>
 
 Data Engineering &amp; Systems Development
 
 
 
 <ul>
 <li>
 Design and implement scalable ETL/ELT pipelines for both batch and streaming workloads, and build/maintain data warehouses, lakes, and lakehouse architectures.
 </li>
 <li>
 Develop optimized data models (relational, dimensional, NoSQL) while ensuring data quality, lineage, governance, and metadata management.
 </li>
 <li>
 Write clean, modular, and well-tested production code in Python, Java, or Scala; build APIs, microservices, and integrations for data workflows; and implement CI/CD automation and testing.
 </li>
 <li>
 Build secure, scalable cloud-based data infrastructure on AWS/GCP/Azure using containerized, serverless, and distributed technologies, and manage IaC using Terraform, CloudFormation, etc.
 </li>
 <li>
 Work with modern data and streaming frameworks (Spark, Flink, Beam, Kafka, Kinesis, Pub/Sub) and cloud data platforms (Snowflake, BigQuery, Redshift, Databricks) to deliver real-time and event-driven pipelines.
 </li>
 <li>
 Collaborate with cross-functional teams (Data Scientists, ML Engineers, Software Engineers) and lead design discussions, code reviews, and mentoring to maintain engineering best practices
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 3+ years of experience in Data Engineering roles.
 </li>
 <li>
 Strong proficiency in Python, SQL, and at least one compiled language (Java/Scala/Go).
 </li>
 <li>
 Hands-on experience with data pipeline orchestration (Airflow, Dagster, Prefect, etc.).
 </li>
 <li>
 Deep understanding of distributed systems, data partitioning, fault tolerance, and performance tuning.
 </li>
 <li>
 Experience with containerized environments (Docker, Kubernetes).
 </li>
 <li>
 Strong problem-solving skills, debugging abilities, and systems-level thinking.
 
 
 </li>
 </ul>
 
 Preferred Qualifications:
 
 
 
 <ul>
 <li>
 Experience supporting ML Ops workflows and feature/data pipelines for machine learning models and AI applications.
 </li>
 <li>
 Knowledge of Delta Lake and Data Warehouse.
 </li>
 <li>
 Familiarity with security, compliance, access controls, and enterprise data governance.
 </li>
 <li>
 Exposure to data observability tools (Monte Carlo, Databand, Soda, etc.).
 </li>
 <li>
 Background in AI, analytics, or large-scale product engineering is a plu
 </li>
 </ul>
</div>

Senior Data Engineer.

Explore 657+ Deep learning engineer in Lahore Pakistan this January. Find roles across top companies and apply now to boost your career.