data engineer

ai/ml engineer

ai engineer

machine learning engineer

software engineer

generative ai engineer

Marketing Tech Sol

Type: Full-time | Location: Onsite Starting Salary: PKR 160,000 &ndash; 200,000/monthAbout the Role:We are looking for a skilled AI/ML Engineer with strong expertise in Natural Language Processing (NLP) and a solid understanding of Computer Vision, Large Language Models (LLMs), and Generative AI.Key Responsibilities:<ul><li>Develop and fine-tune LLMs (e.g., GPT, BERT, LLaMA) for NLP applications.</li><li>Build and integrate Generative AI solutions for intelligent and creative use cases.</li><li>Implement text classification, sentiment analysis, chatbots, and summarization models.</li><li>Optimize and deploy AI models using TensorFlow, PyTorch, or Hugging Face.</li><li>Apply computer vision techniques such as object detection and image recognition.</li><li>Deploy AI models on cloud platforms (AWS, GCP, Azure).</li><li>Stay updated with the latest AI research and advancements.</li><li>Ensure compliance with ethical AI, data privacy, and security standards.</li></ul>Requirements:<ul><li>Minimum 2 years of experience in AI/ML development.</li><li>Strong experience in NLP, LLMs, and Generative AI.</li><li>Proficiency in Python and ML frameworks (TensorFlow, PyTorch, Hugging Face).</li><li>Proven experience in NLP, computer vision, or reinforcement learning.</li><li>Hands-on experience with cloud platforms (AWS, GCP, Azure) and model deployment.</li><li>Solid understanding of data preprocessing, feature engineering, and large-scale data handling.</li><li>Familiarity with containerization tools (Docker, Kubernetes) and CI/CD for ML workflows.</li><li>Strong problem-solving and analytical skills.</li><li>Experience with MLOps, model deployment, and cloud AI services.</li><li>Familiarity with LangChain and LangGraph frameworks.</li><li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, AI, Machine Learning, or a related field.</li></ul>Apply Now:Email:advitandhealthsol@gmail.com WhatsApp: 03126155418Job Type: Full-timePay: Rs160,000.00 - Rs200,000.00 per monthWork Location: In person

Sr. AI/ML Engineer

Devsinc

<div>
 Devsinc is hiring a skilled
 
 AI/ML Engineer
 
 with
 
 2 to 3 years of professional experience
 
 in building and fine-tuning
 
 Generative AI models
 
 (LLMs, Diffusion Models),
 
 Vision-Language Models
 
 (VLMs), and both
 
 classical
 
 and
 
 deep learning
 
 systems, developing solutions from scratch and taking them end-to-end into production.
 
 
 This role combines
 
 modeling and MLOps expertise
 
 , involving end-to-end ownership from
 
 model training and fine-tuning
 
 to
 
 optimization, deployment, and serving
 
 . You'll work on diverse, high-impact projects such as
 
 Generative AI applications, Stable Diffusion, OCR, theft detection, and recommendation systems
 
 , designing, optimizing, and serving custom models for real-world production use.
 
 
 
 Key Responsibilities:
 
 
 
 <ul>
 <li>
 Develop production inference stacks: Convert and optimize models (Torch &rarr; ONNX &rarr; TensorRT), quantize/prune, profile FLOPs and latency, and deliver low-latency GPU inference with minimal accuracy loss.
 </li>
 <li>
 Build robust model-serving infrastructure: Implement FastAPI/gRPC inference services, token or frame-level streaming, model versioning and routing, autoscaling, rollbacks, and A/B testing.
 </li>
 <li>
 Create Computer Vision solutions from scratch: Design pipelines for object detection, theft detection, OCR (document parsing, structured extraction), and surveillance analytics; fine-tune Hugging Face pretrained models when beneficial.
 </li>
 <li>
 Fine-tune Stable Diffusion and other generative models for brand- or style-consistent image generation and downstream vision tasks.
 </li>
 <li>
 Train and fine-tune Vision-Language Models (VLMs) for multimodal tasks (captioning, VQA, multimodal retrieval) using both from-scratch and transfer-learning approaches.
 </li>
 <li>
 Design and adapt LLM-based Generative AI systems for conversational agents, summarization, RAG pipelines, and domain-specific fine-tuning.
 </li>
 <li>
 Implement MLOps / LLMops / AIOps practices: Automate CI/CD for training and deployment, manage datasets and experiments, maintain model registries, and monitor latency, drift, and performance with alerting and retraining pipelines.
 </li>
 <li>
 Develop data acquisition &amp; ingestion pipelines: Build compliant scrapers, collectors, and scalable ingestion systems with proxy rotation and rate-limit handling.
 </li>
 <li>
 Integrate third-party models and APIs (Hugging Face, OpenAI, etc.) and design hybrid inference strategies combining local and cloud models for optimal performance
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 Education: Bachelor's or Master's degree in Computer Science, Artificial Intelligence, or related field.
 </li>
 <li>
 Experience: 2 to 3 years of professional experience in AI/ML or relevant domains, with a proven track record of developing, training, and deploying machine learning or deep learning models in real-world environments
 </li>
 <li>
 Strong expertise in Computer Vision: object detection, segmentation, OCR pipelines (training from scratch and transfer learning).
 </li>
 <li>
 Deep understanding of model optimization: quantization, pruning, distillation, FLOPs analysis, CUDA profiling, mixed precision, and inference performance trade-offs.
 </li>
 <li>
 Proven ability to design and train models from scratch, including architecture design, loss functions, training loops, and evaluation.
 </li>
 <li>
 Hands-on experience with LLMs and diffusion-based models (e.g., Stable Diffusion).
 </li>
 <li>
 Proficiency with ONNX, TensorRT, TorchScript, and serving frameworks (Triton, TorchServe, or ONNX Runtime).
 </li>
 <li>
 Skilled in GPU programming and CUDA optimization (profiling with nvprof/nsight, memory management, multi-GPU setups).
 </li>
 <li>
 Strong backend engineering in Python (FastAPI, Flask), async programming, WebSockets/SSE, and RESTful API design.
 </li>
 <li>
 Experience with containerization and orchestration (Docker, Kubernetes, Helm) and deploying GPU workloads to AWS/GCP/Azure or on-prem clusters.
 </li>
 <li>
 Understanding of classical ML techniques (regression, classification, clustering) and experiment design.
 </li>
 <li>
 Solid software engineering discipline: CI/CD, testing, code reviews, reproducibility, and version control.
 </li>
 <li>
 Nice-to-Have: Familiarity with privacy-preserving ML (differential privacy, federated learning) and observability tools like Prometheus, Grafana, Sentry, or OpenTelemetry
 </li>
 <li>
 Collaborative - open to knowledge-sharing and teamwork.
 </li>
 <li>
 Team Player - willing to support peers and contribute to collective success.
 </li>
 <li>
 Growth Minded - eager to learn, improve, and adapt to emerging technologies.
 </li>
 <li>
 Adaptable - flexible in dynamic, fast-paced environments.
 </li>
 <li>
 Customer-Centric - focused on delivering solutions that create real business value
 </li>
 </ul>
</div>

Software Engineer - AI/ML

GTechSources

We are seeking an experienced AI / Machine Learning Engineer to join our dynamic team. This role requires a highly skilled professional capable of handling the entire lifecycle of machine learning projects, from ideation to deployment. The ideal candidate will bring deep expertise in generative AI, computer vision and classical machine learning/ deep learning models, and possess a strong ability to design and implement complex AI solutions.Key Responsibilities:<ul><li>Develop end-to-end machine learning solutions, including problem framing, data acquisition, solution architecture, model development, testing, and deployment</li><li>Train/Fine-tune generative AI models using state-of-the-art training techniques such as LoRA/QLoRA</li><li>Leverage GenAI for cutting edge solutions including RAG (enterprise), agentic workflows, image/video gen, wrapper apps etc. using APIs, orchestration frameworks, observability and evaluation libraries</li><li>Develop and optimize advanced deep learning models for both NLP and Computer Vision, leveraging transformer-based architectures for tasks like text classification, named entity &emsp;&emsp;recognition, image segmentation, and object detection.</li><li>Develop and implement advanced data scraping and web crawling pipelines to collect and preprocess large-scale datasets</li><li>Implement appropriate ML/DL models and algorithms to address business-specific challenges</li><li>Collaborate with cross-functional teams, including clients, product managers, and domain experts, to define project goals and requirements</li><li>Stay updated with the latest trends and breakthroughs in AI/ML and integrate relevant advancements into the development process</li><li>Manage deployment pipelines, ensuring seamless integration of ML models with production systems</li><li>Drive performance optimization for models and systems, including hyper parameter tuning and retraining strategies.</li></ul>Requirements:Education: <ul><li>Bachelor&rsquo;s or Master&rsquo;s in Computer Science, AI, Machine Learning, or related fields</li></ul>Experience:<ul><li>Minimum 3 years of professional experience in machine learning/AI</li><li>Proven expertise in handling end-to-end ML project lifecycles, from data processing to production deployment</li></ul>Technical Skills:<ul><li>Proficient in Python and ML libraries such as TensorFlow, PyTorch, Scikit-learn, OpenCV etc. and API development using Flask, FastAPI etc</li><li>Expertise in LangChain, Pinecone, Chromadb, OpenAI Functions, FAISS, and other tools for building RAG-based systems and mainstream agentic workflows for dynamic automation and contextual retrieval</li><li>Strong experience with modern deep learning architectures, including CNNs, RNNs, Transformers (BERT, ViTs, GPT), GANs, Diffusion Models, and GNNs for diverse AI applications.</li><li>Hands-on experience with large-scale model training and fine-tuning on cloud platforms (AWS, GCP, Azure)</li><li>Solid knowledge of data preprocessing, augmentation, and feature engineering techniques</li><li>Familiarity with MLOps tools for model versioning, monitoring, and deployment (e.g., MLflow, Docker, Kubernetes)</li></ul>Soft Skills:<ul><li>Strong problem-solving skills with an analytical mindset</li><li>Excellent communication and ability to work collaboratively in a team environment</li></ul>Why Join Us:<ul><li>Work on cutting-edge projects that push the boundaries of AI and ML</li><li>Build AI solutions that solve real-world problems and help businesses become efficient and grow</li><li>Collaborate with a team passionate about innovation and growth</li><li>Access to the latest tools, technologies, and resources for professional development</li><li>Be part of a global team and a supportive work environment that values diversity, creativity, and technical excellence</li></ul>What We Offer:<ul><li>Market-competitive salary</li><li>Weekends off (Saturday and Sunday)</li><li>22 paid holidays</li><li>Medical reimbursement</li><li>Probationary and annual increments</li><li>Opportunities for professional growth and development</li><li>A collaborative and innovative work environment</li></ul>Working Hours:<ul><li>12:00 PM &ndash; 9:00 PM</li></ul>We are excited to work with individuals who are passionate about making a meaningful impact through AI innovation. Apply today to be part of our journey!Job Type: Full-timeAbility to commute/relocate:<ul><li>Lahore: Reliably commute or planning to relocate before starting work (Preferred)</li></ul>Application Question(s):<ul><li>What is your current salary?</li><li>What is your salary expectation?</li><li>Please note that this is an onsite position, and our standard operating hours are from 12 PM to 9 PM, Monday to Friday. Are you available and willing to work during these hours?</li></ul>Experience:<ul><li>AI/ML engineering: 3 years (Required)</li><li>FastAPI: 3 years (Required)</li><li>Python: 3 years (Required)</li></ul>Location:<ul><li>Lahore (Preferred)</li></ul>Work Location: In person

AI/ML Engineer with FastAPI Experience (3+ Years Required)

Atheneum Partners Germany

Experience: 3&ndash;6 years Focus: Agentic AI, Generative AI, ML InfrastructureResponsibilities:<ul><li>Build and deploy agentic AI systems and automated workflows.</li><li>Develop LLM-powered tools, low-latency services, and AI-driven automation.</li><li>Integrate AI models into existing products and infrastructure.</li><li>Optimize ML pipelines and ensure production-grade reliability.</li></ul>Skills: Python, ML Ops/Infra, LLM frameworks (LangChain/LangGraph), API integrations, vector DBs.Job Type: Full-timePay: Rs300,000.00 - Rs600,000.00 per monthWork Location: Hybrid remote in Lahore

AI Engineer — Agentic Systems & Workflow Automation

Techeezy

Company: SparkAiExperience: 4 to 5 yearsEmployment Type: Full-timeLocation: LahoreRole Overview:We are looking for a highly skilled Senior Python Developer with expertise - in Generative AI and Retrieval-Augmented Generation (RAG). The ideal candidate should have hands-on experience in LLMs, prompt engineering, vector databases, and AI-driven application development.Key Responsibilities<ul><li>Familiarity with Graph Databases like Neo4j</li><li>Develop and optimize LLM-powered applications using Python.</li><li>Implement Retrieval-Augmented Generation (RAG) pipelines for AI-driven search and content generation.</li><li>Design and fine-tune prompt engineering strategies for better AI responses.</li><li>Integrate OpenAI, LangChain, Hugging Face, and other AI frameworks into scalable applications.</li><li>Optimize ML models and deployments using Docker, FastAPI, Flask, and other frameworks.</li><li>Collaborate with cross-functional teams to deliver AI-powered solutions.</li></ul>Requirements<ul><li>Experience in LLMs, OpenAI API, LangChain, Hugging Face</li><li>Proficiency in RAG</li><li>Understanding of NLP, embeddings, and knowledge graphs</li><li>Familiarity with cloud services (AWS, GCP, Azure)</li><li>Experience in API development (FastAPI, Flask, Django, Rest)</li><li>Knowledge of MLOps &amp; model deployment is a plus</li></ul>Please fill this form https://forms.gle/9d8XndUBqMtoZ5u18Job Type: Full-timeWork Location: In person

Sr. Python Developer

Confiz

<div>We are seeking an Engineer with hands-on experience in AI/ML, Generative AI (GenAI), and full-stack development to support the design, development, and deployment of modern enterprise applications. This role involves building scalable AI-driven features, integrating ML models into cloud-native systems, and contributing to web application development using Java and React.js. You will work closely with cross-functional teams to ensure smooth integration, strong performance, and secure implementation across platforms.
Responsibilities:
<ul><li>Design and implement AI/ML features and integrate with Generative AI technologies.</li>
<li>Collaborate with data science and engineering teams to deploy AI/ML solutions into cloud infrastructure and enterprise applications.</li>
<li>Optimize AI/ML pipelines for performance, real-time data handling, and scalability; develop APIs for seamless system interactions.</li>
<li>Contribute to backend and frontend development of web applications using Java and React.js.</li>
<li>Conduct testing, benchmarking, troubleshooting, and documentation for both AI/ML components and web application features.</li>
</ul>
Requirements:
<ul><li>Bachelor&rsquo;s Degree in Computer Science, Engineering, or a related technical field.</li>
<li>1+ year of experience in AI/ML, Generative AI, or software development with exposure to integrating AI-driven components into applications.</li>
<li>Experience with Java and React.js for web application development.</li>
<li>Understanding of building or working with scalable AI/ML systems, model integration, or data pipelines.</li>
<li>Strong problem-solving skills, willingness to learn, and ability to work in collaborative environments.</li>
</ul>
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.
What makes Confiz stand out is our focus on processes and culture. Confiz is ISO 9001:2015 (QMS), ISO 27001:2022 (ISMS), ISO 20000-1:2018 (ITSM), ISO 14001:2015 (EMS), ISO 45001:2018 (OHSMS) Certified. We have a vibrant culture of learning via collaboration and making workplace fun.
People who work with us work with cutting-edge technologies while contributing success to the company as well as to themselves.
To know more about Confiz Limited, visit: https://www.linkedin.com/company/confiz-pakistan/</div>

Generative AI & Full-Stack Engineer (Java/React.js)

<div>
 We are seeking an Engineer with hands-on experience in AI/ML, Generative AI (GenAI), and full-stack development to support the design, development, and deployment of modern enterprise applications. This role involves building scalable AI-driven features, integrating ML models into cloud-native systems, and contributing to web application development using Java and React.js. You will work closely with cross-functional teams to ensure smooth integration, strong performance, and secure implementation across platforms.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Design and implement AI/ML features and integrate with Generative AI technologies.
 </li>
 <li>
 Collaborate with data science and engineering teams to deploy AI/ML solutions into cloud infrastructure and enterprise applications.
 </li>
 <li>
 Optimize AI/ML pipelines for performance, real-time data handling, and scalability; develop APIs for seamless system interactions.
 </li>
 <li>
 Contribute to backend and frontend development of web applications using Java and React.js.
 </li>
 <li>
 Conduct testing, benchmarking, troubleshooting, and documentation for both AI/ML components and web application features.
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s Degree in Computer Science, Engineering, or a related technical field.
 </li>
 <li>
 1+ year of experience in AI/ML, Generative AI, or software development with exposure to integrating AI-driven components into applications.
 </li>
 <li>
 Experience with Java and React.js for web application development.
 </li>
 <li>
 Understanding of building or working with scalable AI/ML systems, model integration, or data pipelines.
 </li>
 <li>
 Strong problem-solving skills, willingness to learn, and ability to work in collaborative environments.
 
 
 </li>
 </ul>
 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.
 
 
 What makes Confiz stand out is our focus on processes and culture. Confiz is
 
 ISO 9001:2015
 
 (QMS),
 
 ISO 27001:2022
 
 (ISMS),
 
 ISO 20000-1:2018
 
 (ITSM),
 
 ISO 14001:2015
 
 (EMS),
 
 ISO 45001:2018
 
 (OHSMS) Certified. We have a vibrant culture of learning via collaboration and making workplace fun.
 
 
 People who work with us work with cutting-edge technologies while contributing success to the company as well as to themselves.
 
 
 To know more about Confiz Limited, visit: https://www.linkedin.com/company/confiz-pakistan/
</div>

Explore 569+ Generative ai engineer in Lahore this December. Find roles across top companies and apply now to boost your career.

569 generative ai engineer jobs IN Lahore

Sr. AI/ML Engineer

Software Engineer - AI/ML

AI/ML Engineer with FastAPI Experience (3+ Years Required)

AI Engineer — Agentic Systems & Workflow Automation

Sr. Python Developer

Generative AI & Full-Stack Engineer (Java/React.js)

Generative AI & Full-Stack Engineer (Java/React.js)