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generative ai engineer

Bizmatic Technologies

About UsWe are building a next-generation restaurant POS system that doesn&rsquo;t just manage orders, it analyses consumer behavior, identifies trends, and generates actionable insights. With data flowing in daily from thousands of transactions, we want to harness the power of Generative AI to create personalized reports and tools that help restaurant owners grow smarter and faster.We&rsquo;re looking for a Generative AI &amp; NLP Engineer with a strong foundation in Machine Learning, Deep Learning, and Natural Language Processing to help us fine-tune large language models and embed AI-driven personalization directly into our platform.Key Responsibilities:<ul><li>Fine-tune and customize LLMs (e.g., LLaMA, GPT-4o, Gemini, Claude) for domain-specific outputs using structured and unstructured POS data.</li><li>Apply techniques like LoRA, QLoRA, instruction tuning, or adapter layers for efficient training.</li><li>Build and manage pipelines for data cleaning, preparation, tokenization, and evaluation of large datasets (e.g., receipts, customer feedback, usage logs).</li><li>Use prompt engineering and embedding techniques to create high-quality, contextual outputs.</li><li>Integrate and manage APIs from OpenAI, Anthropic, Google, HuggingFace, or others to support in-product personalization.</li><li>Collaborate with our data, engineering, and product teams to deliver AI-powered reports and features to end users.</li><li>Stay updated with the latest in transformers, RAG, vector databases, and fine-tuning strategies.</li></ul>Required Qualifications<ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Artificial Intelligence, Data Science, or related fields.</li><li>Strong theoretical and practical understanding of:</li><li>Machine Learning</li><li>Deep Learning (RNNs, Transformers)</li><li>Natural Language Processing (NLP)</li><li>Generative AI (LLMs, diffusion models, etc.)</li><li>Proficiency in Python, with experience in libraries like Transformers, PyTorch, TensorFlow, Scikit-learn.</li><li>Hands-on experience with fine-tuning or customizing LLMs using real-world datasets.</li><li>Experience working with structured data (CSV, SQL) and text data simultaneously.</li></ul>Nice to Have<ul><li>Experience with LLMOps, model versioning, or deployment pipelines.</li><li>Previous work with restaurant tech, retail, or POS systems.</li><li>Familiarity with visualization tools for auto-generating AI reports.</li></ul>What You&rsquo;ll Get<ul><li>A chance to work on high-impact AI projects in a real-world business context.</li><li>Full ownership of generative AI initiatives within a forward-thinking product team.</li><li>Flexibility to research and implement the latest advances in AI and ML.</li><li>A collaborative remote-first environment focused on innovation and speed.</li></ul>Job Type: Full-timePay: Rs100,000.00 - Rs120,000.00 per monthWork Location: In person

Generative AI & NLP Engineer – POS Intelligence & Personalization

iTechNets

We are currently seeking a talented Generative AI engineer with strong expertise in AI and AI agent development to join our dynamic team. This is an exciting opportunity to work on groundbreaking projects and make a significant impact in the field of artificial intelligence and AI agents.The ideal candidate will have a strong background in Python, expertise in Generative AI, and a passion for developing and fine-tuning generative AI models. You will be responsible for creating innovative solutions, optimizing models, and deploying applications that leverage the power of AI.Key Responsibilities:<ul><li>Develop and implement Gen AI agents and models.</li><li>Fine-tune and optimize generative AI models for various applications.</li><li>Collaborate with cross-functional teams to design and develop AI-driven solutions.</li><li>Build and deploy applications using Python and Flask.</li><li>Conduct research and stay updated on the latest advancements in Generative AI and AI agents</li><li>Perform data analysis and preprocessing to support model development.</li><li>Troubleshoot and resolve technical issues related to AI models and applications.</li><li>Document and present findings, progress, and results to the team and stakeholders.</li></ul>Requirements:<ul><li>Bachelor's or Master&rsquo;s degree in Computer Science, Engineering, or a related field.</li><li>Minimum of 5 years of experience in machine learning and AI</li><li>At least 3-4 years of experience in generative AI, including building AI agents</li><li>Strong proficiency in langchain, langgraph and other technologies.</li><li>Strong communication and collaboration skills.</li><li>Ability to work independently and as part of a team.</li><li>Extensive experience with AI agents and autonomous reasoning systems.</li><li>Hands-on expertise with LangChain, RAG, OpenAI API, or similar LLM-based frameworks.</li><li>Python proficiency (experience with FastAPI or Flask is a plus).</li><li>Strong understanding of prompt engineering and fine-tuning LLMs.</li><li>Strong problem-solving skills and ability to work independently.</li></ul>What We Offer:<ul><li>Competitive salary and benefits package.</li><li>Opportunities for professional growth and development.</li><li>A collaborative and innovative work environment.</li><li>Flexible working arrangements (remote/hybrid).</li><li>The chance to work on cutting-edge AI projects.</li></ul>Job Type: Full-timePay: Rs120,000.00 - Rs150,000.00 per monthWork Location: In person

Gen AI developer

Capital Healthcare

Company Name: Advanced IT &amp; Healthcare Solutions Job Title: Machine Learning/AI Engineer Job Type: Full-time Location: OnsiteJob OverviewWe are seeking a highly skilled Machine Learning/AI Engineer with strong expertise in Natural Language Processing (NLP), Large Language Models (LLMs), and Generative AI. The ideal candidate should also have working knowledge of Computer Vision and experience deploying models on cloud platforms.Key Responsibilities<ul><li>Develop and fine-tune LLMs (GPT, BERT, LLaMA, etc.) for NLP applications</li><li>Build innovative solutions using Generative AI</li><li>Implement models for text classification, sentiment analysis, chatbots, and summarization</li><li>Optimize and deploy AI models using TensorFlow, PyTorch, or Hugging Face</li><li>Apply computer vision techniques (object detection, image recognition)</li><li>Deploy AI solutions on AWS, GCP, or Azure</li><li>Stay updated with the latest AI research and advancements</li><li>Ensure compliance with ethical AI practices, data privacy, and security standards</li></ul>Requirements<ul><li>Minimum 2 years of relevant experience</li><li>Strong expertise in NLP, LLMs, and Generative AI</li><li>Proficiency in Python and ML frameworks (TensorFlow, PyTorch, Hugging Face)</li><li>Experience with NLP, computer vision, or reinforcement learning</li><li>Hands-on cloud deployment experience (AWS, GCP, Azure)</li><li>Knowledge of data preprocessing, feature engineering, and large-scale data handling</li><li>Familiarity with Docker, Kubernetes, and CI/CD workflows</li><li>Experience with MLOps and cloud AI services</li><li>Familiarity with LangChain and LangGraph frameworks</li><li>Bachelor&rsquo;s/Master&rsquo;s degree in Computer Science, AI, Machine Learning, or related field</li></ul>How to ApplyInterested candidates may send their CV/Resume to: mycapitalhealthcare@gmail.comJob Type: Full-timePay: Rs50,000.00 - Rs60,000.00 per monthWork Location: In person

Sr. AI/ML Engineer

NKU Technologies Pvt.Ltd.

We are looking for a Machine Learning/AI Developer with strong expertise in Natural Language Processing (NLP) and a good understanding of Computer Vision large language models (LLMs) and Generative AI and be large language models (LLMs), and Generative AI and be familiar with deep learning techniques for image and video processing.Key Responsibilities:<ul><li>Develop and fine-tune LLMs (GPT, BERT, LLaMA, etc.) for NLP applications.</li><li>Work with Generative AI to build intelligent and creative solutions.</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>Understand and apply computer vision techniques for tasks like object detection and image recognition.</li><li>Deploy AI models on cloud platforms (AWS, GCP, Azure).</li><li>Stay updated with the latest AI advancements and research.</li></ul>Requirements:<ul><li>Strong experience in NLP, LLMs, and Generative AI.</li><li>Proficiency in Python and ML frameworks (TensorFlow, PyTorch, Hugging Face).</li><li>Familiarity with computer vision techniques (CNNs, object detection, image processing).</li><li>Experience with MLOps, model deployment, and cloud AI services.</li><li>Bachelor&rsquo;s/Master&rsquo;s in Computer Science, AI, Machine Learning, or a related field.</li></ul>Job Type: Full-timePay: From Rs130,000.00 per monthWork Location: In person

Sr ML/AI Engineer

Tek Headquarters

About the RoleWe in Tekhqs are seeking an elite ML/AI Engineer with deep theoretical and engineering mastery in deep learning, LLMs, and generative architectures. You must have trained, fine-tuned, benchmarked, and deployed transformer-based models at scale, understand the research behind every paper you cite, and have shipped production-grade ML systems across distributed GPU environments. This is a zero-to-one role: no prebuilt dataset, no precleaned labels, no off-the-shelf pipelines. Just research, code, and compute.Key Responsibilities<ul><li>Designing and training foundation models (e.g., GPT, T5, Mistral, LLaMA) from scratch on multi-node GPU clusters.</li><li>Leading full-stack GenAI architecture: tokenizer design, attention variants, pretraining schemes, alignment (RLHF), quantization, serving.</li><li>Conducting frontier research in model optimization, mixture-of-experts (MoE), context length extrapolation, prompt tuning, and memory efficiency.</li><li>Implementing and extending SOTA methods from arXiv (e.g., Phi-3, Gemini, FlashAttention-2, GQA, LLaVA, Orca, DPO, ZeRO-Infinity).</li><li>Managing model lifecycle: data curation pretraining finetuning evaluation quantization deployment postmortems.</li><li>Working with multi-modal inputs (text, image, video, audio, embeddings) for cross-domain GenAI systems.</li><li>Driving production-grade optimization: low-latency inference, batching strategies, CUDA kernel debugging, memory offloading, model sharding.</li></ul>RequirementsCore ML/DL:<ul><li>Transformers, self-attention, residual connections, GELUs, normalization strategies (RMSNorm, LayerNorm, etc.)</li><li>LLM scaling laws, curriculum learning, token sampling strategies (Top-k, Top-p, Temperature, Mirostat, nucleus filtering)</li><li>Contrastive learning, masked modeling, autoregressive generation, denoising diffusion</li></ul>Training Infrastructure:<ul><li>PyTorch Lightning, DeepSpeed, HuggingFace Accelerate, Fully Sharded Data Parallel (FSDP), ZeRO-3</li><li>GPU/TPU cluster management, distributed checkpointing, mixed precision (fp16, bfloat16), quantization-aware training</li><li>Data streaming at scale with WebDataset, TFRecord, Parquet</li></ul>Model Optimization &amp; Serving:<ul><li>Quantization: GPTQ, AWQ, SmoothQuant, LLM.int8(), QLoRA</li><li>Compilers: TensorRT, Torch-TensorRT, TVM, ONNX Runtime, XLA, GGUF</li><li>Model serving: Triton Inference Server, vLLM, TGI, HuggingFace TextGeneration Inference</li></ul>GenAI Systems:<ul><li>RLHF pipelines: reward modeling, PPO, DPO, ORPO, RLAIF</li><li>Retrieval-Augmented Generation (RAG): hybrid semantic search, vectorDB integration, prompt composition</li><li>Tokenizer development: SentencePiece, Tiktoken, Byte Pair Encoding(BPE), Unigram LM</li></ul>Software Engineering:<ul><li>Clean, modular, testable Python code with CI/CD pipelines</li><li>Profiling tools: PyTorch Profiler, Nsight, nvtop, nvprof, memory profiler</li><li>Containerization: Docker, NVIDIA Container Toolkit, Kubernetes for distributed training</li></ul>Mathematical Rigor:<ul><li>Optimization: AdamW, Lion, RMSProp, gradient clipping, learning rate schedulers</li><li>Loss functions: Cross-entropy, KL divergence, cosine similarity, contrastive losses</li><li>Strong command of linear algebra, probability, statistics, and numerical methods</li></ul>Experience: 4+ years hands-on (Minimum 3+ years in GenAI &amp; Transformers)Job Type: HybridJob Time: 3pm to 9pm from office and 11pm to 1 am from homeLocation: DHA Phase 6 LahoreAbout 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.Job Type: Full-timeWork Location: In person

Senior Machine Learning / AI Engineer

CyberGen Faisalabad

CyberGen is a leading IT and cybersecurity company, committed to innovation and growth. We&rsquo;re expanding our technology team and seeking a highly skilled and innovative AI Engineer to design, develop, and optimize advanced AI solutions&mdash;from building and training machine learning models to deploying scalable systems that drive automation, data intelligence, and real-world impact.About the RoleWe are seeking a highly skilled AI Engineer with hands-on expertise in both traditional machine learning and cutting-edge generative AI (LLMs, diffusion models, etc.), coupled with strong experience in MLOps, API development (FastAPI), and end-to-end deployment. As a key member of our AI team, you will design, develop, deploy, and optimize AI/ML solutions that power innovative products and services for real-world impact.Key Responsibilities<ul><li>AI/ML Model Development:</li></ul>Design, build, and train traditional ML models (classification, regression, clustering, etc.) and generative AI models (NLP, LLMs, image generation, etc.) using frameworks such as PyTorch, TensorFlow, scikit-learn, HuggingFace, etc.<ul><li>API &amp; Microservices:</li></ul>Build scalable and robust RESTful APIs for AI services using FastAPI (preferred) or similar frameworks. Integrate models with applications and expose inference endpoints.<ul><li>Deployment &amp; Scaling:</li></ul>Containerize applications (Docker), orchestrate with Kubernetes or similar tools, and deploy models in production environments (cloud/on-prem). Monitor, optimize, and troubleshoot AI systems post-deployment.<ul><li>Continuous Integration &amp; Delivery (CI/CD):</li></ul>Implement CI/CD workflows for automated testing, model retraining, and seamless delivery of AI features.<ul><li>Collaboration:</li></ul>Work closely with data scientists, product managers, and software engineers to translate business requirements into scalable AI solutions.<ul><li>Documentation &amp; Best Practices:</li></ul>Document design decisions, code, and model performance. Champion best practices for code quality, reproducibility, and responsible AI.Requirements<ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Data Science, AI, or a related field.</li><li>Proven experience developing and deploying both traditional ML and generative AI models.</li><li>Minimum 2 years of professional experience in AI/ML engineering or a closely related role.</li><li>Strong proficiency in Python and relevant ML/DL libraries (scikit-learn, PyTorch, TensorFlow, HuggingFace, etc.).</li><li>Hands-on experience building REST APIs with FastAPI (or Flask/FastAPI alternatives).</li><li>Experience with containerization (Docker) and orchestration (Kubernetes).</li><li>Familiarity with cloud platforms (AWS, GCP, Azure) for AI/ML workloads.</li><li>Knowledge of CI/CD tools and practices.</li><li>Excellent problem-solving, analytical, and communication skills.</li></ul>Preferred (Bonus) Skills<ul><li>Experience with generative AI (LLMs, diffusion models, prompt engineering, RAG, etc.)</li><li>Exposure to data versioning, model monitoring, and retraining workflows.</li><li>Knowledge of security, privacy, and responsible AI guidelines.</li><li>Open-source contributions or published AI/ML projects.</li></ul>Job Type: Full-timeEducation:<ul><li>Bachelor's (Preferred)</li></ul>Experience:<ul><li>AI/ML engineering: 2 years (Preferred)</li></ul>Work Location: In person

AI Engineer

10xengineers

Level: Senior (5-7 years) Location: Lahore, on-site Job Type: Full-timeAbout the RoleWe are seeking a senior engineer to join our high-performance team, which partners with leading AI chip companies to deliver cutting-edge software that enables end-users to run Vision and Generative AI inference workloads efficiently on custom accelerators.As a Senior Machine Learning Engineer, you will be a key technical member of the team, working in a hands-on role to contribute to the design and development of frameworks, APIs, and runtime integrations that enable AI models to run seamlessly on next-generation hardware. You will also help shape technical direction, mentor junior engineers, and collaborate closely with the client&rsquo;s compiler/runtime and hardware architecture teams.This is not a traditional applied ML role. Instead, it requires deep software engineering expertise with strong exposure to AI/ML systems, ideal for someone who thrives in systems programming and performance optimization, and wants to pivot into the AI/ML domain while continuing to build on their proven experience in delivering robust, high-quality software. In this role, you will directly contribute to enabling large-scale AI workloads on custom hardware.What you'll do&#9679; Define and implement software architecture and design patterns to ensure frameworks and applications are scalable, maintainable, and reusable.&#9679; Architect and develop Python/C++ frameworks for integrating ML models with custom runtimes.&#9679; Design and implement high-performance APIs, bindings, and libraries to support inference of Vision and Generative AI models.&#9679; Build and maintain Model Zoo, loaders, and optimization workflows to simplify model deployment.&#9679; Profile, debug, and optimize performance-critical paths in runtime and framework layers.&#9679; Develop real-time pipelines and applications using GStreamer, OpenCV, and other multimedia/ML frameworks.&#9679; Collaborate with compiler/runtime teams to ensure smooth integration of graph-level and operator optimizations.&#9679; Mentor and guide junior engineers; enforce software engineering best practices across design, testing, CI/CD, and code reviews.&#9679; Own end-to-end delivery of software components: define scope, set timelines, and drive execution.What we're looking for &#9679; 5&ndash;7+ years of professional experience in software engineering, ideally in systems programming or performance-critical applications.&#9679; Strong programming expertise in C++ (C++11/14/17) and Python.&#9679; Experience with C++/Python bindings (e.g., pybind11, SWIG).&#9679; Strong fundamentals in:&#9675; Data structures and algorithms&#9675; Concurrency, threading, and synchronization&#9675; Memory management, caching, and performance profiling&#9675; Networking and streaming systems&#9679; Exposure to ML frameworks (PyTorch, TensorFlow, ONNX Runtime) and how they interface with hardware runtimes.&#9679; Experience building frameworks, SDKs, or toolchains used by other developers or customers.Bonus Points&#9679; Hands-on experience deploying vision or Generative AI models (transformers, diffusion models, LLM inference).&#9679; Experience with multimedia/vision pipelines (e.g., GStreamer plugin development).&#9679; Contributions to open-source ML systems projects (e.g., Hugging Face, ONNX Runtime, TensorRT).&#9679; Prior experience in a technical lead or client-facing role.What join 10xEngineers?&#9679; Opportunity to work on state-of-the-art AI systems with a world-class chip company.&#9679; A chance to be the anchor of a team, shaping its technical culture and delivery standards.&#9679; Continuous exposure to Vision and Generative AI workloads without being tied to repetitive applied ML tasks.&#9679; Growth path into architectural leadership across multiple projects.Job Type: Full-timeApplication Question(s):<ul><li>This is a full-time on-site position in our office in Garden Town, Lahore. Do you agree to working on-site? If you're not in Lahore, are you willing to relocate?</li></ul>Education:<ul><li>Bachelor's (Required)</li></ul>Work Location: In person

Senior Machine Learning Engineer

Explore 421+ Generative ai engineer in Lahore this September. Find roles across top companies and apply now to boost your career.