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senior machine learning 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

Xavor Corporation

Location | DHA 6, Lahore, Pakistan (Hybrid)Experience | 3 to 5 YearsWe are seeking a ML Engineer with over 3 years of proven experience, ideally working with service-based clients. The candidate should have a strong focus on machine learning (ML), deep learning (DL), computer vision (CV), and natural language processing (NLP), while also possessing solid data analysis and statistical modeling skills. The successful applicant will play a key role in driving data-driven insights and contributing to the development of innovative ML solutions tailored to client needs.Key Responsibilities&middot; Collaborate with service-based clients to understand their business challenges and provide ML-driven recommendations.&middot; Perform data extraction, cleaning, and preprocessing to ensure data quality.&middot; Develop and implement advanced ML algorithms and models, including DL techniques in CV and NLP.&middot; Conduct exploratory data analysis to uncover trends, patterns, and insights.&middot; Apply statistical modeling and hypothesis testing to inform ML model development.&middot; Work with cross-functional teams to integrate data science and ML solutions into business processes.&middot; Keep up-to-date with the latest industry trends, tools, and technologies in ML, DL, CV, NLP, and data science.&middot; Communicate complex analytical concepts in a clear and concise manner to both technical and non-technical stakeholders.Skills and Qualifications&middot; Bachelor&rsquo;s or Master&rsquo;s degree in Data Science or Computer Science.&middot; Minimum of 3+ years of experience in data science roles, preferably in service-based or consulting environments.&middot; Strong proficiency in Python or R and experience with ML/DL libraries such as TensorFlow, Keras, PyTorch, Scikit-learn, etc.&middot; Hands-on experience with machine learning algorithms, including regression models, decision trees, clustering, deep learning, CV, and NLP techniques.&middot; Solid understanding of statistical analysis and data modeling techniques.&middot; Familiarity with data manipulation and analysis using Pandas and NumPy.&middot; Familiarity with SQL for data extraction and manipulation.&middot; Strong analytical skills with the ability to derive actionable insights from large datasets.&middot; Excellent communication and presentation skills.Job Type: Full-timeApplication Question(s):<ul><li>Expected Salary?</li></ul>Experience:<ul><li>AI/ML: 2 years (Preferred)</li><li>Gen AI: 1 year (Preferred)</li></ul>Work Location: In person

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

Analytiverse

Role DescriptionWe are looking for a motivated and technically skilled professional to join our team as an AI/ML Engineer (LLM Trainee &ndash; LangChain/LangGraph). The ideal candidate will have strong expertise in Python development and a keen interest in working with AI frameworks and tools. This role provides an opportunity to work on cutting-edge projects involving LangChain and LangGraph, building innovative solutions in the AI/ML space.Key Responsibilities<ul><li>Build and optimize AI-driven applications leveraging LangChain and LangGraph.</li><li>Write clean, efficient, and maintainable Python code for automation, data processing, and integration tasks.</li><li>Assist in designing, coding, and maintaining backend components using Python.</li><li>Develop APIs and integrate third-party services under the guidance of senior engineers.</li><li>Troubleshoot and resolve technical challenges to ensure system reliability and performance.</li></ul>Qualifications<ul><li>Bachelor&rsquo;s degree in Computer Science, Data Science, Software Engineering, or a related field.</li><li>1 year of hands-on or project-based Python development experience with exposure to Data Science and Machine Learning.</li><li>Strong proficiency in Python and data analysis libraries (Pandas, NumPy).</li><li>Solid understanding of algorithms, data structures, and statistical analysis.</li><li>Familiarity with neural networks and computer vision concepts.</li><li>Basic knowledge of LangChain and LangGraph frameworks (preferred, but not mandatory).</li><li>Strong problem-solving skills, ability to work collaboratively in a fast-paced environment, and a passion for innovation.</li></ul>Job Type: Full-timeExperience:<ul><li>Python, Machine learning: 1 year (Preferred)</li></ul>Location:<ul><li>Lahore (Required)</li></ul>Work Location: In person

AIML Engineer LLM Trainee

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

About the jobWe are seeking a proactive and motivated Software Engineer &ndash; Python Developer to join our development team. This role is well-suited for candidates with 0&ndash;1 years of practical experience in Python programming who are eager to grow their skills in a collaborative environment. You will work closely with senior developers, contributing to the design, development, testing, and maintenance of services, automation scripts, and applications.Core ResponsibilitiesAssist in designing, coding, and maintaining backend components using Python Develop APIs and integrate third-party services under the guidance of senior engineers Write clean, maintainable, and scalable code following best practices Participate in debugging, performance tuning, and testing Take part in regular code reviews and continuous learning sessions Stay current with the latest trends in Python and backend technologiesRequirements: 0&ndash;1 year of hands-on or project-based experience in Python developmentStrong exposure to Data Science and Machine Learning conceptsFamiliarity with web frameworks like Flask or DjangoProficiency in Python libraries such as Pandas, NumPy, Matplotlib, SeabornExperience working with public datasets and drawing insights from large data sourcesSolid problem-solving skills and attention to detailAbility to work both independently and as part of a collaborative teamBachelor&rsquo;s degree in Computer Science, Software Engineering, Information Technology, or a related fieldJob Type: Full-timeJob Type: Full-timePay: From Rs60,000.00 per monthWork Location: In person

Junior Python Engineer

TechnoCares

About the Role We are looking for a proactive and skilled Associate Software Engineer with at least 1 year of experience to join our team and contribute to innovative projects involving image and video processing, as well as machine learning. This role is ideal for individuals who have foundational experience in building practical solutions and are ready to expand their expertise in a collaborative environment.Key Responsibilities<ul><li>Design and implement modules for image and video processing</li><li>Contribute to developing and optimizing machine learning models</li><li>Write clean, efficient, and maintainable code</li><li>Troubleshoot, test, and debug applications</li><li>Collaborate with team members on feature development and integration</li><li>Contribute to performance tuning and system documentation</li></ul>Requirements<ul><li>Bachelor&rsquo;s degree in Computer Science, Software Engineering, or a related field</li><li>1&ndash;2 years of industry experience in software development</li><li>Proficiency in Python</li><li>Experience with OpenCV, NumPy, and related libraries</li><li>Familiarity with machine learning frameworks such as TensorFlow or PyTorch</li><li>Understanding of basic computer vision techniques</li><li>Good problem-solving, debugging, and communication skills</li></ul>Nice to Have (Plus Points)<ul><li>Hands-on experience with YOLO or similar object detection frameworks</li><li>Experience working with real-time image/video processing systems</li><li>Familiarity with version control systems like Git</li></ul>What We Offer<ul><li>Opportunity to work on cutting-edge AI and computer vision projects</li><li>Collaborative and growth-oriented team culture</li><li>Flexible and supportive work environment</li><li>Room for career advancement and continuous learning</li></ul>Job Type: Full-timePay: Rs50,000.00 - Rs200,000.00 per monthWork Location: In person

Associate Software Engineer AI/ML (Computer vision / Machine Learning)

Explore 895+ Senior machine learning engineer in Lahore this September. Find roles across top companies and apply now to boost your career.

895 senior machine learning engineer jobs IN Lahore

Senior Machine Learning Engineer

Senior Machine Learning Engineer

Senior Machine Learning / AI Engineer

AIML Engineer LLM Trainee

Sr. AI/ML Engineer

Junior Python Engineer

Associate Software Engineer AI/ML (Computer vision / Machine Learning)