ai engineer

data engineer

data scientist

senior software engineer

software engineer

deep learning engineer

Expert System Solution

About the RoleWe are seeking a Senior AI/ML Engineer with strong technical expertise and exceptional communication skills. The ideal candidate must be a closer, someone who can take ownership, deliver results, and confidently drive AI/ML solutions from concept to deployment.Key Responsibilities<ul><li>Design, develop, and deploy end-to-end AI/ML models and data pipelines.</li><li>Build predictive models, NLP solutions, and deep learning architectures.</li><li>Collaborate with cross-functional teams to understand business needs and deliver practical AI solutions.</li><li>Optimize model performance, scalability, and accuracy.</li><li>Conduct research on latest AI trends and implement relevant advancements.</li><li>Present findings, models, and results clearly to technical and non-technical stakeholders.</li><li>Lead critical problem-solving discussions and ensure timely closure of tasks.</li></ul>Requirements<ul><li>4+ years of hands-on experience in Machine Learning, AI model development, and data engineering.</li><li>Strong expertise in Python, TensorFlow/PyTorch, Scikit-Learn, NLP, Deep Learning, and Cloud (AWS/GCP/Azure).</li><li>Solid understanding of data structures, algorithms, statistical modeling, and MLOps frameworks.</li><li>Proven experience in building production-grade AI solutions.</li><li>Exceptional communication skills (must be able to explain complex ideas with clarity).</li><li>A results-driven mindset, must be a closer who takes ownership and delivers.</li></ul>Nice to Have<ul><li>Experience with LLMs, Generative AI, and model fine-tuning.</li><li>Experience in API integrations and microservices.</li><li>Exposure to data visualization tools and dashboards.</li></ul>Job Type: Full-timeWork Location: In person

AI/ML Engineer

Motive

<div>
 
 Who We Are
 
 
 
 Motive empowers the people who run physical operations with tools to make their work safer, more productive, and more profitable. For the first time ever, safety, operations and finance teams can manage their drivers, vehicles, equipment, and fleet related spend in a single system. Combined with industry leading AI, the Motive platform gives you complete visibility and control, and significantly reduces manual workloads by automating and simplifying tasks.
 
 
 Motive serves nearly 100,000 customers &ndash; from Fortune 500 enterprises to small businesses &ndash; across a wide range of industries, including transportation and logistics, construction, energy, field service, manufacturing, agriculture, food and beverage, retail, and the public sector.
 
 
 Visit gomotive.com to learn more.
 
 
 
 About The Role
 
 
 
 As a Computer Vision Engineer, you will be a part of a passionate team whose mission is to bring intelligence to the world&rsquo;s trucks. The team is focused on building technology to understand driving behavior, identify risk factors, and intelligently suggest coachable events that not only improves the fleet safety and potentially save millions of dollars but also contribute to making the roads safer. You will have a unique opportunity to work with a high caliber and fast-paced team which consists of experienced researchers and engineers in Computer Vision, Machine Learning, Deep Learning, and Robotics with a track record of previous products and top-tier publications.
 
 
 You will play a critical role in building and improving a technology that will be used by millions of trucks. In this role, you will design and implement complex computer vision systems. You will have the opportunity to build and/or improve algorithms for edge processing, implement cloud services, and integrate them to deliver end-to-end product features. You will also get exposure to large-scale ML infra and scaling that facilitates large amounts of data to train, test, and validate computer vision systems.
 
 
 
 What You&rsquo;ll Do
 
 
 
 <ul>
 <li>
 Improve the performance of our models and algorithms already in production
 </li>
 <li>
 Build and optimize CV/ML algorithms for real-time performance so they can run on our embedded platform i.e. the next-gen AI dashcam
 </li>
 <li>
 Write proficient Python and C++ code to build and improve CV algorithms, ML services, training, model compression and porting pipelines
 </li>
 <li>
 Convert state-of-the-art research prototypes into reliably working product features
 </li>
 <li>
 Collaborate with RnD team working in Computer Vision, Machine Learning, and Robotics, along with ML Platform, Embedded, Backend, and Frontend teams to deliver end-to-end product features
 </li>
 <li>
 Solve challenging object detection, segmentation, recognition, and geometric computer vision problems.
 </li>
 <li>
 Build automated deployment, validation, and active learning pipelines.
 
 
 </li>
 </ul>
 
 What We&rsquo;re Looking For
 
 
 
 <ul>
 <li>
 Bachelors degree in computer science, software engineering, data science, artificial intelligence, or related field.
 </li>
 <li>
 Masters or PhD in Computer Vision, Deep Learning, and Machine Learning (preferred)
 </li>
 <li>
 Solid mathematical foundation in Computer Vision, Deep Learning, Machine Learning, and optimization approaches.
 </li>
 <li>
 Hands-on experience in training framework and tools (TensorFlow | Pytorch | Caffe)
 </li>
 <li>
 Strong experience in Python or C++
 </li>
 <li>
 Hands-on experience in building embedded algorithms and applications
 </li>
 <li>
 Experience in the following tools and technologies is a plus: AWS (SageMaker, Lambda, EC2, S3, RDS), CI/CD, Terraform, Docker, and Kubernetes.
 </li>
 <li>
 Prior experience with Eigen library and RTOS is a strong plus
 
 
 </li>
 </ul>
 
 Creating a diverse and inclusive workplace is one of Motive's core values. We are an equal opportunity employer and welcome people of different backgrounds, experiences, abilities and perspectives.
 
 
 
 
 Please review our Candidate Privacy Notice here.
 
 
 
 
 UK Candidate Privacy Notice here.
 
 
 
 
 The applicant must be authorized to receive and access those commodities and technologies controlled under U.S. Export Administration Regulations. It is Motive's policy to require that employees be authorized to receive access to Motive products and technology.
 
</div>

Computer Vision Engineer

Alpha Group of Companies

Company OverviewWe build scalable and intelligent systems to tackle complex real-world challenges in manufacturing, healthcare, retail, and e-commerce. Our culture fosters continuous learning, collaboration, and cutting-edge experimentation.Job SummaryWe are looking for a Senior AI/ML Engineer with strong hands-on expertise in developing, deploying, and scaling advanced machine learning and generative AI solutions. This role is designed for someone with deep skills in core AI areas (LLMs, deep learning, data pipelines, and MLOps), while being comfortable exploring adjacent technologies.You&rsquo;ll work on end-to-end AI/ML pipelines, from data preparation to production deployment, and lead initiatives that push the boundaries of Generative AI, LLM customization, and AI-first applications. You will also mentor team members and collaborate with cross-functional teams to deliver enterprise-grade AI systems.Key Responsibilities<ul><li>Design, train, and deploy ML/DL models for NLP, Computer Vision, or multimodal use cases.</li><li>Work with frameworks such as PyTorch, TensorFlow, Scikit-learn, Keras, Hugging Face, JAX, Diffusers.</li><li>Apply transfer learning, fine-tuning, and optimization techniques for LLMs and generative models.</li><li>Fine-tune and customize LLMs (GPT, LLaMA, Mistral, Grok, etc.) for domain-specific tasks.</li><li>Implement RAG (Retrieval-Augmented Generation), PEFT (LoRA/adapters), quantization, and prompt engineering.</li><li>Build and deploy generative systems for text, images, or speech.</li><li>Develop and maintain ML pipelines with MLflow, Kubeflow, TFX, or ZenML.</li><li>Use Docker, Kubernetes, and CI/CD pipelines to ensure scalable deployments.</li><li>Monitor and manage deployed models (performance, drift, retraining cycles).</li><li>Build robust data pipelines using Apache Airflow, Spark, or Dask.</li><li>Handle large, complex datasets with proper feature engineering and augmentation strategies.</li><li>Deploy and manage ML workloads on AWS (SageMaker, Bedrock), GCP (Vertex AI), Azure ML, Hugging Face Spaces.</li><li>Ensure fairness, explainability (SHAP, LIME), and compliance with GDPR and AI regulations.</li><li>Mentor junior engineers and contribute to best practices in AI/ML development.</li><li>Collaborate with product managers, data engineers, and developers to deliver impactful AI solutions.</li><li>Stay updated with AI research (arXiv, NeurIPS, ICML) and apply learnings to production solutions.</li></ul>Required Qualifications &amp; Skills<ul><li>Strong programming skills in Python (NumPy, Pandas, PyTorch/TensorFlow, Scikit-learn).</li><li>Working familiarity with R, Julia, Scala, or Java is a plus.</li><li>Hands-on experience with Hugging Face, LangChain, LlamaIndex, MLflow, Kubeflow, Airflow.</li><li>Proficiency with at least one major cloud provider (AWS, GCP, Azure) for ML workloads.</li><li>Experience with CI/CD, Docker, Kubernetes, Git for scalable ML deployments.</li><li>Hands-on experience with LLMs, Diffusion Models, and RAG pipelines.</li><li>Strong data engineering skills with Spark/Dask, and managing large-scale datasets.</li><li>Excellent problem-solving, communication, and collaboration skills.</li><li>Proven ability to mentor junior engineers and lead AI/ML initiatives.</li></ul>Preferred Qualifications<ul><li>Experience applying AI in Manufacturing, Healthcare, Retail, or E-Commerce.</li><li>Experience with Edge AI and IoT platforms (e.g., NVIDIA Jetson, TPUs).</li><li>Contributions to open-source, patents, or publications in AI/ML.</li><li>Familiarity with AI agent frameworks (LangGraph, CrewAI, Auto-GPT).</li></ul>Education &amp; Experience<ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, AI/ML, Data Science, Electrical Engineering, or related fields.</li><li>PhD or research experience is a plus, but not mandatory.</li><li>5&ndash;7+ years of experience in AI/ML roles, with proven impact in production systems or R&amp;D projects.</li></ul>What We Offer<ul><li>High-impact projects leveraging Generative AI, LLMs, and MLOps.</li><li>Continuous learning with training budgets, cloud credits, and conference sponsorships.</li><li>Competitive salary and benefits, performance-based bonuses.</li><li>Flexible hybrid/remote work options.</li><li>Collaborative, innovative environment with opportunities for growth.</li></ul>Equal Opportunity StatementWe value diversity and inclusion, and welcome applications from all backgrounds and experiences.Job Type: Full-timePay: Rs450,000.00 - Rs600,000.00 per monthWork Location: In person

Senior AI/ML Engineer

Phaedra Solutions

Principal AI Developer: Generative Models (Full-time, Lahore)We are seeking a highly specialized and experienced Principal AI Developer to focus entirely on Generative AI. This role requires 3-5 years of focused experience in AI development, specifically with models capable of creating new content and solutions.You will be the core contributor responsible for the end-to-end process&mdash;designing, developing, optimizing, and deploying advanced generative models into our products to deliver significant user value.Key Responsibilities1. Generative Model Development &amp; Research<ul><li>Core Development: Design, develop, and meticulously optimize advanced generative AI solutions, including models for Natural Language Processing (NLP) and Image Generation.</li><li>Algorithm Expertise: Implement sophisticated generative algorithms using techniques like GPT (Generative Pre-trained Transformer), VAE (Variational Autoencoders), and GANs (Generative Adversarial Networks).</li><li>Innovation: Maintain a competitive edge by conducting continuous research into the latest advancements in deep learning and generative AI, identifying strategic integration opportunities.</li></ul>2. Implementation and Performance Engineering<ul><li>Frameworks: Build robust algorithms using industry-leading frameworks such as TensorFlow, PyTorch, Keras, and OpenAI libraries.</li><li>Validation: Rigorously test and validate model performance through empirical experiments, iteratively refining models for efficiency and reliability.</li><li>Translation: Work closely with product managers to translate complex business needs into scalable, efficient, and reliable technical solutions.</li></ul>3. Engineering Excellence and Collaboration<ul><li>Project Alignment: Collaborate with cross-functional teams to define AI project requirements, ensuring technical goals align perfectly with overall business strategy.</li><li>Best Practices: Actively participate in code reviews, establish engineering best practices for AI development, and maintain comprehensive technical documentation.</li><li>Ethics: Stay current with the ethical considerations in AI, proactively implementing strategies for bias mitigation.</li></ul>Required Expertise and Qualifications<ul><li>Experience: 3-5 years of progressive AI development experience, with a strong, focused background in generative models.</li><li>Education: Bachelor&rsquo;s or Master&rsquo;s in Computer Science, AI, Data Science, or a related technical field.</li><li>Core Skills:</li><li>Programming: Deep proficiency in Python.</li><li>Frameworks: Extensive hands-on experience with TensorFlow, PyTorch, Keras, and OpenAI libraries.</li><li>Model Expertise: Proven experience developing and implementing GPT, VAE, and GANs.</li><li>Deployment &amp; Engineering: Experience using Cloud platforms (AWS, GCP, Azure) to manage and deploy AI models in production, along with familiarity with version control (Git).</li><li>Soft Skills: Excellent problem-solving, strong communication, and collaborative abilities, with a focus on ethical AI development.</li></ul>Job Type: Full-timeWork Location: In person

Generative AI

Devfum

Job description:About Devfum Devfum is a forward-thinking technology company focused on delivering web development, AI, and extended reality (XR) solutions that redefine industries. We specialize in creating innovative digital experiences, from immersive metaverse platforms to AI-powered applications, helping businesses drive growth and efficiency. We foster a collaborative environment where top talent can thrive. At Devfum, you&rsquo;ll work on cutting-edge technologies, contribute to impactful projects, and enjoy opportunities for continuous learning and career growth. Join us and be part of a team that&rsquo;s shaping the future of digital innovation. Vision: &ldquo;To be the world&rsquo;s pioneering digital experience provider&rdquo;. Why Join Devfum? We offer an environment that fosters growth, learning, and work-life balance, ensuring that our employees feel valued and motivated.<ul><li>Bi-Annual Salary Increments: Recognizing your contributions regularly.</li><li>Clear Career Growth Roadmap: Helping you achieve your professional goals.</li><li>Continuous Learning: Access to paid courses to enhance your skills.</li><li>Daily Lunch &amp; Tea: Enjoy complimentary meals and refreshments.</li><li>Monthly Sports Activities: Stay active and refreshed with sports and fun team events.</li></ul>Key Responsibilities <ul><li>Design, build, and deploy Agentic AI systems using LangGraph, LangChain, and modern LLM tooling to address real business problems.</li><li>Own key parts of the data science lifecycle, including data exploration, modeling, evaluation, deployment, and ongoing improvements.</li><li>Implement and maintain production-ready ML pipelines, including data ingestion, preprocessing, feature engineering, and model monitoring.</li><li>Develop scalable backend services and APIs using Python frameworks such as Django, FastAPI, or Flask.</li><li>Design and manage efficient data storage solutions using Redis, PostgreSQL, and MongoDB.</li><li>Work with cloud platforms&mdash;preferably AWS&mdash;to deploy and scale data and AI workloads.</li><li>Build and maintain CI/CD pipelines, manage containerization (Docker), and ensure smooth deployment through Git/GitHub workflows.</li><li>Collaborate closely with product, engineering, and design teams to integrate AI agents into web apps and enterprise systems.</li><li>Research, evaluate, and implement new tools and techniques to improve performance, reliability, and development speed.</li></ul>Required Qualifications <ul><li>2+ years of hands-on experience building and deploying AI/ML systems, including LLM applications, traditional ML models, and deep learning solutions.</li><li>Must share production-grade project examples or portfolio links.</li><li>Technical Expertise:</li><li>Strong proficiency in Python and core data science libraries.</li><li>Agentic Frameworks:</li><li>Practical experience with LangChain and LangGraph; familiarity with Hugging Face tools is a plus.</li><li>Backend Skills:</li><li>Solid experience with one or more Python frameworks (Django, FastAPI, or Flask).</li><li>Databases:</li><li>Hands-on experience with Redis, PostgreSQL, and MongoDB.</li><li>Version Control:</li><li>Proficiency with Git and GitHub.</li><li>Cloud Knowledge:</li><li>Working knowledge of AWS or an equivalent cloud platform.</li><li>Collaboration:</li><li>Ability to work within cross-functional teams and contribute to architecture discussions.</li><li>Education:</li><li>Bachelor&rsquo;s degree in Computer Science, Data Science, AI/ML, or a related technical field.</li></ul>Work Schedule Timings: 12:00 PM &ndash; 9:00 PM, Monday to Friday Salary Range: PKR 110,000 &ndash; PKR 135,000Job Type: Full-timePay: Rs110,000.00 - Rs135,000.00 per monthApplication Question(s):<ul><li>Kindly share your GitHub profile link</li></ul>Education:<ul><li>Bachelor's (Preferred)</li></ul>Experience:<ul><li>AI Engineer : 2 years (Preferred)</li></ul>Location:<ul><li>Lahore (Preferred)</li></ul>Work Location: In person

AI Engineer

Sharp Brains Ltd

Role SummaryWe are seeking a highly skilled and experienced AI, ML and DL Instructor to lead our hands-on vocational training program. The instructor will be responsible for teaching the practical application of Artificial Intelligence (AI) through core Machine Learning (ML) techniques and advanced Deep Learning (DL) architectures. The focus is on equipping students with job-ready skills to design, train, and deploy real-world AI solutions.Key ResponsibilitiesNAVTTC Course Development &amp; Delivery:<ul><li>Instruct on the architecture and application of modern LLMs (e.g., Transformer models like BERT, GPT, Llama, etc.) and related frameworks like Hugging Face.</li><li>Prompt Engineering: Teach best practices for constructing effective prompts, few-shot learning, and advanced retrieval techniques (like Retrieval-Augmented Generation - RAG) for specific use cases.</li><li>Model Specialization: Provide hands-on training in techniques for customizing LLMs, including Fine-Tuning and Parameter-Efficient Fine-Tuning (PEFT) on domain-specific datasets.</li><li>Deployment &amp; MLOps: Guide students through the entire LLM lifecycle, from data preparation (tokenization, embeddings) to deployment and integration into web applications using frameworks like Flask/Streamlit.</li><li>Ethical AI: Cover critical topics on LLM ethics, including addressing bias, mitigating hallucination, and ensuring model safety and responsible usage.</li></ul>A. Deep Learning (DL) &amp; NLP Fundamentals<ul><li>Transformer Architecture: Deep conceptual understanding of Attention Mechanisms, Self-Attention, and the difference between Encoder-only, Decoder-only, and Encoder-Decoder architectures.</li><li>Core NLP: Proficiency in Tokenization (subword tokenization), Embeddings, and common NLP tasks (Classification, Summarization, Text Generation).</li><li>Frameworks: Expertise in PyTorch and/or TensorFlow and primary use of the Hugging Face ecosystem.</li></ul>B. Large Language Model (LLM) Specifics<ul><li>Prompt Engineering: Mastery of zero-shot, one-shot, and few-shot prompting, as well as techniques like Chain-of-Thought (CoT) prompting.</li><li>Fine-Tuning: Practical experience with supervised fine-tuning, Low-Rank Adaptation (LoRA), and understanding the training phases (Pre-training vs. Fine-tuning).</li><li>Deployment &amp; Scaling: Experience with deploying LLMs, managing hardware constraints (e.g., using quantization/GPGPU), and integrating models into production systems.</li></ul>C. Artificial Intelligence (AI) Context<ul><li>RAG Implementation: Ability to design and implement Retrieval-Augmented Generation (RAG) pipelines to ground LLM responses in external, real-time data.</li><li>Data Curation: Skills in curating, cleaning, and preparing massive, high-quality text datasets for training and fine-tuning.</li><li>Ethical AI: Knowledge of model safety, fairness, and bias mitigation strategies specific to large-scale generative models.</li></ul>Qualifications and ExperienceBachelor&rsquo;s degree in Computer Science, Data Science, or a closely related field. Master's degree with a specialization in NLP or AI is highly preferred.Minimum 1 year of formal teaching, corporate training, or vocational instruction experience, demonstrating the ability to convey complex LLM concepts clearly.Certification Plus in NLP, Deep Learning, or Cloud ML platforms (e.g., Google Cloud/AWS/Azure AI certification).Job Types: Full-time, Contract Contract length: 12 monthsPay: Rs62,000.00 - Rs80,000.00 per monthWork Location: In person

Instructor of AI, ML and DL

MEP Solutions

MEP Solutions Pvt, Ltd, is looking for a Fresh Electrical Engineer having expertise in Electrical at LahoreQualification: Bachelor's degree in electricalExperience: 6 Months to 1-year Professional experience preferably in electrical company.Required Positions: 3Responsibilities:<ul><li>Quotation and proposal (Commercial Technical)</li><li>Site Management.</li><li>Head Office Works (Quotations, Design &amp; Proposal etc.)</li><li>Coordination with client as per site requitements.</li><li>Maintenance &amp; troubleshooting of installed systems at site.</li><li>On and off technical meetings regarding systems.</li><li>Summarize data and report on test results.</li><li>Examine needs on new equipment, calculate costs and help prepare budgets.</li><li>Monitor maintenance and inspection plans.</li></ul>Requirements and skills.<ul><li>Proven expertise as an electrical engineer</li><li>Must have PEC Card</li><li>Hands-on experience using design and calculation software</li><li>Deep knowledge of electrical manufacturing processes</li><li>Understanding of electrical engineering codes and safety standards</li><li>Problem-solving abilities</li><li>Attention to detail.</li><li>Strong organizational and communication skills</li><li>Have his own Bike.</li></ul>Job Type: Full-timePay: Rs35,000.00 - Rs40,000.00 per monthWork Location: On the road

Trainee Engineer (Electrical)

Explore 696+ Deep learning engineer in Lahore this December. Find roles across top companies and apply now to boost your career.