full stack engineer

ai developer

ai engineer

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data engineer

artificial intelligence engineer

Inventor Design Studio

AI Engineer Job DescriptionCompany: Inventor Design Studio Location: On-siteAbout UsInventor Design Studio is a leading innovation-driven company specializing in modern technology solutions. We are committed to pushing the boundaries of artificial intelligence and delivering cutting-edge products that solve real-world challenges.Role OverviewWe are seeking an experienced AI Engineer with a minimum of 3 years in the field to join our on-site team. The ideal candidate will design, develop, and deploy advanced AI and machine learning models to drive product innovation and business growth. This role requires hands-on expertise in AI frameworks, software engineering best practices, and seamless collaboration with cross-functional teams.Key Responsibilities<ul><li>Design, build, and optimize AI/ML models using frameworks such as TensorFlow, PyTorch, or Scikit-learn.</li><li>Develop scalable AI pipelines for data preprocessing, model training, validation, and deployment.</li><li>Collaborate closely with data scientists, software engineers, and product managers to integrate AI solutions into products.</li><li>Deploy AI models into production environments ensuring reliability, scalability, and performance.</li><li>Monitor, maintain, and improve deployed AI systems including detecting model drift and retraining as required.</li><li>Implement data collection, cleaning, and feature engineering to ensure quality datasets for training AI models.</li><li>Stay updated with the latest AI/ML research and technologies, recommending relevant innovations for adoption.</li><li>Document AI development processes, models, and best practices to maintain knowledge sharing.</li></ul>Required Skills and Qualifications<ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Artificial Intelligence, Data Science, or related fields.</li><li>Minimum 3 years of professional experience in AI/ML engineering roles.</li><li>Proficiency in Python and experience with AI frameworks like TensorFlow, PyTorch, or Keras.</li><li>Strong understanding of machine learning algorithms, neural networks, and deep learning principles.</li><li>Experience with data preprocessing, feature engineering, and working with large datasets.</li><li>Familiarity with cloud platforms (AWS, Azure, GCP) and containerization (Docker, Kubernetes) for AI deployment.</li><li>Hands-on experience with CI/CD and MLOps practices for model deployment and lifecycle management.</li><li>Strong problem-solving skills with the ability to translate business challenges into AI solutions.</li><li>Excellent communication skills for cross-functional collaboration and technical documentation.</li></ul>Preferred<ul><li>Experience in natural language processing, computer vision, or specialized AI domains.</li><li>Knowledge of ethical AI practices and data privacy regulations.</li></ul>Work Environment<ul><li>Full-time, on-site position at Inventor Design Studio headquarters.</li><li>Collaborative, innovative, and fast-paced work culture focused on AI excellence.</li></ul>Job Type: Full-timePay: Rs40,000.00 - Rs60,000.00 per monthExperience:<ul><li>AI Engineer: 3 years (Preferred)</li></ul>Work Location: In person

AI Engineer With 3 Years Of Experience

Cube Discipline

We are looking for a skilled AI Engineer to design, develop, and implement artificial intelligence and machine learning solutions. The ideal candidate will have strong expertise in ML/DL frameworks, data processing, and deploying AI models into production environments.Key Responsibilities<ul><li>Design and develop AI/ML models to solve business problems.</li><li>Preprocess, clean, and analyze large datasets for training and testing models.</li><li>Implement deep learning, NLP, computer vision, or generative AI models.</li><li>Deploy, monitor, and optimize models in production (MLOps).</li><li>Collaborate with data scientists, software engineers, and business teams to integrate AI solutions.</li><li>Research and experiment with the latest AI/ML tools and frameworks.</li><li>Ensure model accuracy, scalability, and performance.</li></ul>Requirements<ul><li>Bachelor&rsquo;s/Master&rsquo;s in Computer Science, Data Science, AI/ML, or related field.</li><li>1&ndash;2 years of experience in AI/ML engineering.</li><li>Proficiency in Python and ML frameworks (TensorFlow, PyTorch, Scikit-learn, etc.).</li><li>Strong understanding of algorithms, data structures, and statistics.</li><li>Experience with cloud platforms (AWS, GCP, Azure) and containerization (Docker, Kubernetes).</li><li>Knowledge of MLOps practices and CI/CD pipelines.</li></ul>Job Type: Full-timeWork Location: In person

AI Engineer

DevConsole

Job Title: Data Science Engineer (AI/ML Expertise) Company name: DevConsole Location: On-site ( Eithad town, Raiwand road Lahore)Job Type: Contractual Experience: 3+ years Salary: 120k - 250k Timings: 9:00 pm - 4:00 am&#11835;Job Overview:We are seeking a highly skilled Data Science Engineer with strong expertise in Artificial Intelligence (AI) and Machine Learning (ML) to join our fast-paced, innovation-driven engineering team. The ideal candidate will be responsible for designing, developing, and deploying scalable machine learning solutions, building intelligent data pipelines, and integrating AI-driven insights into production systems. You will work closely with cross-functional teams &mdash; including data engineers, product managers, and software developers &mdash; to transform raw data into actionable intelligence and production-ready ML models.&#11835;Key Responsibilities:<ul><li>Design and implement end-to-end machine learning and deep learning models for predictive analytics, NLP, and computer vision use cases.</li><li>Build and optimize data pipelines and ETL workflows for efficient model training and inference.</li><li>Develop and maintain AI/ML microservices using Python (FastAPI, Flask, or Django) and integrate them into enterprise systems.</li><li>Perform exploratory data analysis (EDA), feature engineering, and statistical modeling to extract business insights.</li><li>Research, experiment with, and apply cutting-edge AI techniques (transformers, LLMs, reinforcement learning, etc.).</li><li>Deploy, monitor, and scale ML models in production environments using MLOps tools and cloud platforms (AWS, Azure, or GCP).</li><li>Collaborate with data engineers to ensure data quality, governance, and real-time accessibility.</li><li>Use version control, CI/CD, and containerization tools (Git, Docker, Kubernetes) to streamline model deployment.</li><li>Continuously evaluate model performance and retrain pipelines to ensure accuracy and reliability.</li><li>Present data-driven insights and AI strategies to both technical and non-technical stakeholders.</li></ul>&#11835;Required Skills &amp; Qualifications:<ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Data Science, Artificial Intelligence, or related field.</li><li>3+ years of hands-on experience in data science, AI, and machine learning engineering.</li><li>Strong programming skills in Python and proficiency with ML frameworks: TensorFlow, PyTorch, Scikit-learn, Keras.</li><li>Deep understanding of machine learning algorithms, deep learning architectures (CNN, RNN, LSTM, Transformers), and NLP techniques.</li><li>Experience with data manipulation tools: Pandas, NumPy, Dask, Spark, or Hadoop.</li><li>Solid knowledge of SQL/NoSQL databases (PostgreSQL, MongoDB, Cassandra, Redis).</li><li>Proven experience in deploying ML models to production using APIs or containerized solutions.</li><li>Familiarity with cloud and DevOps tools: AWS (S3, SageMaker, Lambda, EC2), Azure ML, or GCP AI Platform.</li><li>Strong background in data visualization (Matplotlib, Seaborn, Power BI, or Tableau).</li><li>Excellent problem-solving, analytical, and communication skills.</li></ul>&#11835;Preferred Qualifications:<ul><li>Experience building AI-driven systems in healthcare, fintech, or SaaS environments.</li><li>Exposure to big data streaming (Kafka, Flink) and real-time ML inference.</li><li>Understanding of MLOps practices &mdash; model versioning, monitoring, and retraining pipelines.</li><li>Contributions to open-source AI/ML projects or research publications.</li><li>Familiarity with LLMs, generative AI, and prompt engineering.</li></ul>&#11835;What We Offer:<ul><li>Competitive salary and performance-based incentives.</li><li>Exposure to large-scale AI-driven projects with measurable business impact.</li><li>Professional growth opportunities with access to state-of-the-art ML infrastructure.</li><li>Collaborative team culture with mentorship and innovation at its core.</li></ul>If you are intrested kindly share your resume with subject Data Scientist at hr@dev-console.comJob Type: Contract Contract length: 3 monthsPay: Rs120,000.00 - Rs300,000.00 per monthWork Location: In personExpected Start Date: 13/10/2025

Senior Data Scientist

Solvefy

Be a Part of Shaping the Future with AI!Are you passionate about creating intelligent systems powered by Artificial Intelligence and Machine Learning? We are seeking an AI Developer who can design, build, and deploy innovative AI-driven solutions using cutting-edge models, frameworks, and tools.In this role, you&rsquo;ll work with modern AI/ML models, data pipelines, and deployment platforms to deliver scalable applications. You&rsquo;ll also leverage advanced techniques such as large language models (LLMs), NLP, and AI-powered automation to transform business processes.Key Responsibilities<ul><li>AI Model Development: Design, train, and fine-tune machine learning and deep learning models using frameworks such as TensorFlow, PyTorch, Keras, Scikit-learn, XGBoost, LightGBM, or Hugging Face Transformers.</li><li>Data Preparation: Build and maintain efficient data pipelines for training and evaluation using AI/ML data tools (e.g., Scikit-learn preprocessing, Spark MLlib).</li><li>AI Solutions &amp; LLMs: Apply LLMs, NLP techniques, and prompt engineering to enhance automation, intelligent assistants, and decision-making systems.</li><li>Deployment &amp; MLOps: Deploy, monitor, and manage AI/ML models on cloud platforms (AWS SageMaker, Azure ML, GCP Vertex AI) following MLOps best practices.</li><li>System Architecture: Implement scalable AI solutions using containerization (Docker, Kubernetes) and micro services-based designs.</li><li>Collaboration: Work closely with data engineers, product managers, and developers to translate business needs into AI-driven solutions.</li><li>Performance Optimization: Evaluate and improve model accuracy, scalability, and efficiency in production environments.</li><li>Research &amp; Innovation: Stay updated with the latest in AI frameworks, LLM advancements, and emerging ML technologies to drive innovation.</li></ul>Required Skills &amp; Qualifications<ul><li>Bachelor's or master's degree in computer science, Artificial Intelligence, Data Science, or a related field.</li><li>2+ years of experience in AI engineering, machine learning, or applied data science roles.</li><li>Proficiency with AI/ML frameworks and libraries, including TensorFlow, PyTorch, Keras, Scikit-learn, XGBoost, LightGBM, and Hugging Face Transformers.</li><li>Hands-on experience with AI model development, including exposure to large language models (LLMs), NLP, and other advanced ML applications.</li><li>Familiarity with data processing and big data technologies (e.g., Spark MLlib, Hadoop, MLflow, Kubeflow).</li><li>Experience working with cloud-based AI platforms (AWS SageMaker, Azure ML, GCP Vertex AI) for model deployment and scaling.</li><li>Knowledge of MLOps practices and lifecycle management for production-grade AI systems.</li><li>Strong foundation in machine learning algorithms, optimization techniques, and statistical modeling.</li><li>Experience implementing scalable AI solutions using Docker, Kubernetes, and micro services-based architectures.</li><li>Strong problem-solving ability, a collaborative mindset, and excellent communication skills for both technical and non-technical stakeholders</li></ul>What We Offer:<ul><li>Competitive Salary: Market-competitive salary with performance-based incentives.</li><li>Comprehensive Benefits: Provident Fund, Medical Allowance, and Umrah Allowance.</li><li>Wellness Perks: Gym and refreshment allowances.</li><li>Team Building: Annual trips, bi-annual dinners, and team events.</li><li>Additional Perks: Annual bonus, leave encashment, and a flexible leave policy (Casual, Sick &amp; Annual Leaves).</li></ul>Experience Level: 2+ yearsLocation: Johar Town, LahoreEmployment Type: Full-Time (On-Site)Office Timings: 12 PM &ndash; 9 PMJob Type: Full-timePay: From Rs150,000.00 per monthWork Location: In person

Abaska Technologies

We are looking for an AI Engineer with 2-3 years of experience specializing in Data Science and Generative AI, particularly Large Language Models (LLMs) and Computer Vision. The ideal candidate will have a strong background in Python programming and experience with cloud platforms. You will work closely with our cross-functional teams to develop, deploy, and optimize AI models that solve complex problems and enhance user experiences.Key Responsibilities:Develop and Implement AI Models:Design and develop AI models focusing on Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and AI agents.Fine-tune pre-trained models and integrate RAG techniques to enhance model performance and relevance.Develop and deploy AI agents capable of autonomous decision-making and task execution.Data Management:Perform data collection, cleaning, and preprocessing.Conduct exploratory data analysis to uncover insights.Cloud Deployment:Deploy AI models on cloud platforms such as AWS, Azure, or Google Cloud.Optimize cloud resources for scalability and performance.Collaborate with Teams:Work closely with data scientists, engineers, and product managers.Participate in code reviews and contribute to team knowledge sharing.Stay Updated:Keep abreast of the latest developments in AI, machine learning, and data science.Experiment with new tools and technologies to improve existing solutions.Qualifications:Bachelor's degree in Computer Science, Data Science, Engineering, or a related field.Technical Skills:Proficient in data science tools such as Pandas, NumPy, Scikit-Learn, and Jupyter Notebooks.Proficient in Python and familiar with libraries such as TensorFlow, PyTorch, or Keras.Experience with Generative AI models, Large Language Models, RAG techniques, and AI agents.Knowledge of machine learning algorithms and statistical analysis.Familiarity with cloud platforms (AWS, Azure, Google Cloud) and their AI services.Experience with version control systems like Git.Experience with computer vision techniques, frameworks, and related tools such as OpenCV and TensorFlow Object Detection API.Familiarity with NVIDIA NIM tools for optimizing AI workflows.Additional Skills:Understanding of natural language processing (NLP) techniques.Experience with RESTful APIs and microservices architecture.Familiarity with containerization tools like Docker and orchestration tools like Kubernetes.Soft Skills:Strong problem-solving and analytical skills.Excellent communication and teamwork abilities.Ability to work in a fast-paced environment and manage multiple tasks.Eagerness to learn and adapt to new technologies.Job Type: Full-timeWork Location: In person

AI Engineer Python Developer - Data Science & Generative AI Specialist AI Engineer Python Developer

BM Global

Job Title: Data Science Engineer (AI/ML Expertise)Location: On-site ( Eithad town, raiwand road Lahore)Job Type: ContractualExperience: 3+ yearsSalary: 120k - 250kTimings: 9:00 pm - 4:00 am&#11835;Job Overview:We are seeking a highly skilled Data Science Engineer with strong expertise in Artificial Intelligence (AI) and Machine Learning (ML) to join our fast-paced, innovation-driven engineering team.The ideal candidate will be responsible for designing, developing, and deploying scalable machine learning solutions, building intelligent data pipelines, and integrating AI-driven insights into production systems.You will work closely with cross-functional teams &mdash; including data engineers, product managers, and software developers &mdash; to transform raw data into actionable intelligence and production-ready ML models.&#11835;Key Responsibilities:<ul><li>Design and implement end-to-end machine learning and deep learning models for predictive analytics, NLP, and computer vision use cases.</li><li>Build and optimize data pipelines and ETL workflows for efficient model training and inference.</li><li>Develop and maintain AI/ML microservices using Python (FastAPI, Flask, or Django) and integrate them into enterprise systems.</li><li>Perform exploratory data analysis (EDA), feature engineering, and statistical modeling to extract business insights.</li><li>Research, experiment with, and apply cutting-edge AI techniques (transformers, LLMs, reinforcement learning, etc.).</li><li>Deploy, monitor, and scale ML models in production environments using MLOps tools and cloud platforms (AWS, Azure, or GCP).</li><li>Collaborate with data engineers to ensure data quality, governance, and real-time accessibility.</li><li>Use version control, CI/CD, and containerization tools (Git, Docker, Kubernetes) to streamline model deployment.</li><li>Continuously evaluate model performance and retrain pipelines to ensure accuracy and reliability.</li><li>Present data-driven insights and AI strategies to both technical and non-technical stakeholders.</li></ul>&#11835;Required Skills &amp; Qualifications:<ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Data Science, Artificial Intelligence, or related field.</li><li>3+ years of hands-on experience in data science, AI, and machine learning engineering.</li><li>Strong programming skills in Python and proficiency with ML frameworks: TensorFlow, PyTorch, Scikit-learn, Keras.</li><li>Deep understanding of machine learning algorithms, deep learning architectures (CNN, RNN, LSTM, Transformers), and NLP techniques.</li><li>Experience with data manipulation tools: Pandas, NumPy, Dask, Spark, or Hadoop.</li><li>Solid knowledge of SQL/NoSQL databases (PostgreSQL, MongoDB, Cassandra, Redis).</li><li>Proven experience in deploying ML models to production using APIs or containerized solutions.</li><li>Familiarity with cloud and DevOps tools: AWS (S3, SageMaker, Lambda, EC2), Azure ML, or GCP AI Platform.</li><li>Strong background in data visualization (Matplotlib, Seaborn, Power BI, or Tableau).</li><li>Excellent problem-solving, analytical, and communication skills.</li></ul>&#11835;Preferred Qualifications:<ul><li>Experience building AI-driven systems in healthcare, fintech, or SaaS environments.</li><li>Exposure to big data streaming (Kafka, Flink) and real-time ML inference.</li><li>Understanding of MLOps practices &mdash; model versioning, monitoring, retraining pipelines.</li><li>Contributions to open-source AI/ML projects or research publications.</li><li>Familiarity with LLMs, generative AI, and prompt engineering.</li></ul>&#11835;What We Offer:<ul><li>Competitive salary and performance-based incentives.</li><li>Exposure to large-scale AI-driven projects with measurable business impact.</li><li>Professional growth opportunities with access to state-of-the-art ML infrastructure.</li><li>Collaborative team culture with mentorship and innovation at its core.</li></ul>Job Type: Full-timePay: Rs120,000.00 - Rs250,000.00 per monthWork Location: On the road

DATA SCIENTIST

Axix Technologies

Job Title: Machine Learning Engineer Company: Axix Technologies Pvt Ltd Location: Gulberg III, Lahore (Onsite) Job Type: Full-Time Experience: proven 2&ndash;3 years industry experienceRole OverviewAxix Technologies, we don&rsquo;t just build software we build intelligent systems that shape the future of industries worldwide. If you&rsquo;re passionate about AI, Computer Vision, and cutting-edge automation, this role is for you.What You&rsquo;ll Work On<ul><li>Designing and deploying end-to-end ML pipelines that impact real businesses globally</li></ul><ul><li>Building real-time AI models for Computer Vision, Facial Recognition, and Anomaly Detection</li></ul><ul><li>Leveraging LLMs, LangChain, and Generative AI frameworks to power enterprise systems</li></ul><ul><li>Deploying scalable solutions on AWS, GCP, Azure, and Edge devices</li></ul>Education<ul><li>BS Software Engineering / BS Artificial Intelligence (or related field)</li></ul>Your Expertise<ul><li>2+ years proven industry experience in Machine Learning &amp; AI</li></ul><ul><li>Proficiency with PyTorch, TensorFlow, OpenCV, YOLOv8, Detectron2</li></ul><ul><li>Experience in LLMs, Hugging Face Transformers, LangChain</li></ul><ul><li>Strong in MLOps tools: Git/GitLab, Docker, CI/CD, MLflow, DVC</li></ul><ul><li>Familiarity with Vector Databases (FAISS, Pinecone, Weaviate)</li></ul><ul><li>Skilled in real-time AI deployment &amp; automation</li></ul>Apply Now: careers@axixtechnologies.comContact:+92 300 1119405Job Type: Full-timePay: Rs60,000.00 - Rs70,000.00 per monthWork Location: In person

Machine Learning Engineer

Explore 283+ Artificial intelligence engineer in Lahore this October. Find roles across top companies and apply now to boost your career.

283 artificial intelligence engineer jobs IN Lahore

AI Engineer With 3 Years Of Experience

AI Engineer

Senior Data Scientist

AI Engineer

AI Engineer Python Developer - Data Science & Generative AI Specialist AI Engineer Python Developer

DATA SCIENTIST

Machine Learning Engineer