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senior software engineer Jobs in Lahore Pakistan

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software engineer Jobs in Lahore Pakistan

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machine learning engineer

Rough Copies Pvt Ltd

Location: Johar Town, Lahore Timing: 7 PM &ndash; 2 AMAbout the Role: We are hiring a Machine Learning Engineer with hands-on experience in Recommendation Systems and TensorFlow. You will design, train, and deploy ML models, optimize pipelines, and work on real-world AI applications.Key Responsibilities:<ul><li>Build and optimize recommendation systems (collaborative/content-based)</li><li>Develop ML models using TensorFlow</li><li>Integrate ML models into production pipelines</li><li>Collaborate with cross-functional teams and deliver results on time</li></ul>Requirements:<ul><li>2&ndash;3 years of professional ML experience</li><li>Strong Python, NumPy, Pandas skills</li><li>Experience with TensorFlow and model deployment</li><li>Knowledge of recommendation systems</li><li>Ability to work independently in a night shift environment</li></ul>Preferred:<ul><li>API integration experience</li><li>Experience with real-time ML systems</li></ul>Job Type: Full-timeApplication Question(s):<ul><li>Do you have experience building recommendation systems?</li><li>Have you worked with TensorFlow for model building and deployment?</li></ul>Experience:<ul><li>Machine Learning : 2 years (Required)</li></ul>Work Location: In person

Machine Learning Engineer

Devsinc

<div>
 Devsinc is hiring a skilled
 
 AI &amp; ML Engineer
 
 with
 
 more than 2 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+ 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>
 Excellent understanding of classical ML (scikit-learn): regression, classification, clustering; able to design experiments and baselines
 </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, (not only using pretrained checkpoints): 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>
 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>

Ajax Studio

Ajax Studio is looking for an ML Engineer for Games focused on using our game data to generate new content and automate polishing.Main Goals<ul><li>Automatically generate new levels based on existing game data and design rules.</li><li>Automatically assign and implement VFX/SFX using our current asset libraries and tags.</li></ul>Responsibilities<ul><li>Analyze existing levels and content to learn patterns (layout, difficulty, pacing, themes).</li><li>Design and implement ML/PCG systems to generate new levels within strict constraints.</li><li>Build models/logic that map events &rarr; VFX/SFX using tags, categories, and rules.</li><li>Deliver clean APIs/data formats for our Unity/tools engineers.</li><li>Iterate with designers, VFX, and SFX teams to refine models based on feedback and quality.</li></ul>Requirements<ul><li>2+ years as an ML Engineer, Game AI Engineer, or similar (or a strong portfolio).</li><li>Strong Python skills and experience with ML/PCG on structured or sequential data.</li><li>Experience with procedural generation and/or recommendation/classification models.</li><li>Comfortable with constraints, validation, and filtering out broken/low-quality outputs.</li><li>Able to collaborate with non-ML teammates and turn design intent into concrete systems.</li></ul>Job Type: Full-timePay: Rs100,000.00 - Rs250,000.00 per monthWork Location: In person

10xengineers

Level: Junior (1&ndash;3 years) Location: Lahore, Pakistan Job Type: Full-time&#8203;About the roleWe are seeking a Junior Machine Learning Engineer to join our high-performance team collaborating with leading AI chip companies. Our work focuses on developing software that enables users to run Vision and Generative AI inference workloads efficiently on custom accelerators.This is a hands-on engineering role where you will contribute to the development of frameworks, APIs, and runtime integrations that power AI models on next-generation hardware. You will work alongside senior engineers and coordinate with compiler/runtime and hardware architecture teams.This is not a traditional applied ML position. It suits someone who wants to build a strong foundation in AI/ML systems, performance optimization, and software engineering, while contributing to production-grade AI enablement.Key Responsibilities<ul><li>Assist in implementing scalable software architecture and design patterns.</li><li>Help develop Python/C++ frameworks that integrate ML models with custom runtimes.</li><li>Contribute to building high-performance APIs, bindings, and libraries for Vision and Generative AI inference.</li><li>Support Model Zoo maintenance, model loaders, and optimization workflows for easier deployment.</li><li>Profile, debug, and optimize performance-critical sections in framework and runtime layers.</li><li>Contribute to real-time pipelines using GStreamer, OpenCV, and related frameworks.</li><li>Collaborate with compiler/runtime teams on graph-level and operator optimizations.</li><li>Apply best practices in design, testing, CI/CD, and code reviews.</li><li>Participate in end-to-end software delivery, including defining scope and meeting project timelines.</li></ul>Requirements<ul><li>1 &ndash; 3 years of professional or internship experience in software engineering, preferably in systems programming or performance-related domains.</li><li>Proficiency in C++ (C++11/14) and Python.</li><li>Familiarity with C++/Python bindings such as pybind11 or SWIG.</li><li>Strong understanding of:</li><li>Data structures and algorithms</li><li>Concurrency, threading, and synchronization</li><li>Memory management, caching, and performance profiling</li><li>Networking and streaming systems</li><li>Some exposure to ML frameworks such as PyTorch, TensorFlow, or ONNX Runtime and their integration with hardware runtimes.</li><li>Interest in building frameworks, SDKs, or toolchains used by other developers.</li></ul>Bonus Points<ul><li>Experience working with Vision or Generative AI models such as transformers, diffusion models, or LLM inference.</li><li>Familiarity with multimedia and vision pipelines (for example, GStreamer).</li><li>Contributions to open-source projects or personal ML systems experiments (for example, ONNX Runtime or Hugging Face).</li><li>Strong motivation to learn and work in a collaborative technical environment.</li></ul>Why Join 10xEngineers<ul><li>Work with a world-class chip company on state-of-the-art AI systems.</li><li>Build a solid foundation in AI software and performance engineering.</li><li>Continuous exposure to Vision and Generative AI workloads without repetitive applied ML tasks.</li><li>Grow into more advanced technical roles across multiple AI projects.</li></ul>Job Type: Full-timeWork Location: In person

Junior Machine Learning Engineer - AI Systems & Framework

Level: Senior (5-7 years) Location: Lahore, Pakistan 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-timeWork Location: In person

Senior Machine Learning Engineer - AI Systems & Frameworks

Hazen Technologies Inc

<div>
 
 Position:
 
 Junior AI/ML Engineer
 
 
 
 
 Work Conditions:
 
 
 Full-time | Onsite l 02:00 PM to11:00 PM PKT
 
 
 
 
 Job Location:
 
 
 Gulberg III, Lahore, Pakistan
 
 
 
 Reporting to:
 
 Head of Engineering
 
 
 
 
 
 Company Overview:
 
 
 
 
 
 
 
 Hazen Technologies
 
 
 is a leading technology company with operations in the USA and Pakistan, specializing in Artificial Intelligence (AI) and Machine Learning (ML) solutions across diverse industries. In addition, the company provides specialized BPO and custom software development services to reputable clients in the United States.
 
 
 
 Our team
 
 consists of highly skilled and innovative professionals dedicated to pushing the boundaries of what's possible with AI and Machine Learning.
 
 
 
 Position Overview:
 
 
 
 We are looking for a motivated and talented Junior AI/ML Engineer to join our dynamic team and contribute to developing and delivering cutting-edge solutions for our clients. You will work closely with our senior engineers to design, develop, and implement AI and ML solutions for our clients. This is a full-time, permanent position with competitive salary and benefits.
 
 
 
 
 Key Responsibilities
 
 :
 
 
 
 <ul>
 <li>
 Collaborate with senior engineers to design and develop AI and ML solutions
 </li>
 <li>
 Write and maintain code for AI and ML algorithms
 </li>
 <li>
 Perform data analysis and cleaning to prepare data for model training
 </li>
 <li>
 Train and test models using various machine learning techniques
 </li>
 <li>
 Optimize models for performance and scalability
 </li>
 <li>
 Communicate project progress and results to team members and clients
 </li>
 <li>
 Stay up to date with the latest developments in AI and ML technologies
 
 
 
 </li>
 </ul>
 
 
 Key Requirements:
 
 
 
 
 <ul>
 <li>
 Fresh or experienced candidate having proficiency in Python
 </li>
 <li>
 Strong understanding of AI and ML concepts and algorithms
 </li>
 <li>
 Familiarity with Azure-based AI technologies will be considered a strong advantage.
 </li>
 <li>
 Proficiency in OOP and databases concepts
 </li>
 <li>
 Strong problem-solving skills and the ability to work in a fast-paced environment
 </li>
 <li>
 Good English communication and teamwork skills
 </li>
 <li>
 Ability and passionate to learn quickly
 </li>
 <li>
 Bachelors' / Masters' degree preferably in AI/ML/Data Science or Computer Science, Engineering, or a related field
 
 
 
 </li>
 </ul>
 
 Why Hazen Technologies:
 
 
 
 <ul>
 <li>
 Opportunity to work on cutting-edge projects in the exciting field of AI and ML
 </li>
 <li>
 Collaborative and innovative work environment
 </li>
 <li>
 Attractive salary and fringe benefits
 </li>
 <li>
 Career growth and development opportunities
 </li>
 <li>
 Supportive and inclusive company culture
 
 
 
 </li>
 </ul>
 If you are passionate about AI and ML and want to be a part of a dynamic and forward-thinking team, then Hazen Technologies is the place for you. Apply now and join us in shaping the future of technology.
</div>

Junior AI/ML Engineer

<div>
 Devsinc is on the lookout for a talented
 
 Software AI Engineer
 
 to join our innovative team. In this role, you will be responsible for designing, developing, and deploying AI models and machine learning algorithms that enhance our software products and services. You will collaborate with cross-functional teams to integrate AI solutions into applications, driving efficiencies and improving user experiences.
 
 
 
 Key Responsibilities:
 
 
 
 <ul>
 <li>
 Design and implement AI and machine learning models to solve complex problems
 </li>
 <li>
 Collaborate with data scientists and software engineers to integrate AI capabilities into existing products
 </li>
 <li>
 Analyze large datasets to discover patterns, trends, and insights that can drive business decisions
 </li>
 <li>
 Optimize and improve existing machine learning algorithms to enhance their performance
 </li>
 <li>
 Stay up to date with the latest advancements in AI technologies and implement best practices
 </li>
 <li>
 Participate in code reviews and contribute to the development of software standards and guidelines
 </li>
 <li>
 Communicate effectively with technical and non-technical stakeholders to explain AI concepts and technologies
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 
 Requirements:
 
 
 
 <ul>
 <li>
 Bachelor's or Master's degree in Computer Science, Data Science, Artificial Intelligence, or a related field
 </li>
 <li>
 2+ years of experience in software engineering with a strong focus on AI and machine learning
 </li>
 <li>
 Proficiency in programming languages such as Python, Java, or R
 </li>
 <li>
 Experience with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn)
 </li>
 <li>
 Solid understanding of algorithms, data structures, and statistical analysis
 </li>
 <li>
 Experience with data processing tools and big data technologies (e.g., Hadoop, Spark)
 </li>
 <li>
 Strong analytical and problem-solving skills, with attention to detail
 </li>
 <li>
 Excellent communication skills and ability to work collaboratively in a team environment
 </li>
 <li>
 Knowledge of cloud services (AWS, Azure, GCP) for deploying AI models is a plus
 </li>
 </ul>
</div>

Software AI Engineer

Explore 759+ Machine learning engineer in Lahore Pakistan this December. Find roles across top companies and apply now to boost your career.

759 machine learning engineer jobs IN Lahore Pakistan

Machine Learning Engineer

Machine Learning Engineer

Machine Learning Engineer

Junior Machine Learning Engineer - AI Systems & Framework

Senior Machine Learning Engineer - AI Systems & Frameworks

Junior AI/ML Engineer

Software AI Engineer