37 Machine Learning Computer Vision Engineer jobs in Karachi

Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or a related field.Minimum of 2 years of industry experience in computer vision.Proficiency in C++ and Python programming languages.Strong understanding of machine learning algorithms and frameworks.Experience with libraries such as OpenCV, TensorFlow, or PyTorch.Familiarity with GPU programming and CUDA is a plus.Strong problem-solving skills and attention to detail.Excellent communication and teamwork abilities. RESPONSIBILITIES:

Design, develop, and optimize computer vision algorithms and applications.Collaborate with cross-functional teams to integrate computer vision solutions into products.Work on real-time processing and analysis of image and video data.Implement and maintain code in C++ and Python for high-performance computing.Conduct performance evaluations and optimize existing systems for speed and accuracy.Stay updated with the latest advancements in computer vision and machine learning. BENEFITS:

Be part of an innovative company that values creativity and excellence. Work with a talented team of professionals in a collaborative environment. Opportunities for professional growth and development.

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Unlock the potential of the physical economy. Technology that connects and automates physical operations will transform the safety, productivity, and profitability of the businesses that power the physical economy. Working at Motive

Overall Culture Score

4.7

/5 CEO Score

Top 5% Shoaib Makani Top 5% of Similar Sized Companies on Comparably Awards

Reviews from current employees

Work ethics among teams and healthy communication. Everyone is cooperative and helpful. The best part is that everyone in the org is reachable so easily. Motive's Employee Net Promoter Score (eNPS) is 60, as rated by 1096 employees. This means 69% of Motive employees would encourage their friends to become coworkers today. 5 Cool Reasons to Work at Motive

Remote-first company Unlimited paid time off Building technology that saves lives One of the fastest growing software companies in the world The first and only fleet management vendor to offer an integrated spend management solution

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Machine Learning Engineer vacancy in Karachi, Pakistan

Junior Machine Learning Engineer Are you passionate about machine learning and eager to kickstart your career? Join our dynamic team as a Junior Machine Learning Engineer in Karachi! In this role, you will work closely with experienced engineers to develop and implement cutting-edge machine learning algorithms and models. Your main responsibilities will include data preprocessing, model training, and evaluation. We are seeking a highly motivated individual with strong analytical skills and a degree in computer science or a related field. No prior experience is required, but knowledge of programming languages such as Python and familiarity with machine learning libraries is preferred. Don't miss this opportunity to gain valuable experience in the exciting field of machine learning!

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Get AI-powered advice on this job and more exclusive features. Job Description: Senior ML/AI Engineer

We are seeking an experienced Senior Machine Learning/AI Engineer to join our dynamic team. This role requires a highly skilled professional capable of handling the entire lifecycle of machine learning projects, from ideation to deployment. The ideal candidate will bring deep expertise in generative AI, computer vision and classical machine learning/ deep learning models, and possess a strong ability to design and implement complex AI solutions while mentoring junior team members.

Key Responsibilities:

Lead the end-to-end development of machine learning solutions, including problem framing, data acquisition, solution architecture, model development, testing, and deployment Train/Fine-tune generative AI models using state-of-the-art training techniques such as LoRA/QLoRA Leverage GenAI for cutting edge solutions including RAG (enterprise), agentic workflows, image/video gen, wrapper apps etc. using APIs, orchestration frameworks, observability and evaluation libraries Train/Fine-tune and optimize state-of-the-art computer vision models for image recognition, object detection, segmentation, and similar tasks Develop and implement advanced data scraping and web crawling pipelines to collect and preprocess large-scale datasets Implement appropriate ML/DL models and algorithms to address business-specific challenges Collaborate with cross-functional teams, including clients, product managers, and domain experts, to define project goals and requirements Stay updated with the latest trends and breakthroughs in AI/ML and integrate relevant advancements into the development process Manage deployment pipelines, ensuring seamless integration of ML models with production systems Drive performance optimization for models and systems, including hyperparameter tuning and retraining strategies Mentor junior engineers and provide technical leadership to elevate the overall team capability

Qualifications:

Education: Bachelor’s or Master’s in Computer Science, AI, Machine Learning, or related fields Experience: Minimum 4 years of professional experience in machine learning/AI Proven expertise in handling end-to-end ML project lifecycles, from data processing to production deployment Technical Skills: Proficient in Python and ML libraries such as TensorFlow, PyTorch, Scikit-learn, OpenCV etc. and API development using Flask, FastAPI etc Expertise in LangChain, Pinecone, OpenAI Functions, FAISS, and other tools for building RAG-based systems and mainstream agentic workflows for dynamic automation and contextual retrieval Strong experience with deep learning architectures (CNNs, RNNs, Transformers, GANs) Hands-on experience with large-scale model training and fine-tuning on cloud platforms (AWS, GCP, Azure) Solid knowledge of data preprocessing, augmentation, and feature engineering techniques Familiarity with MLOps tools for model versioning, monitoring, and deployment (e.g., MLflow, Docker, Kubernetes) Soft Skills: Strong problem-solving skills with an analytical mindset Excellent communication and ability to work collaboratively in a team environment Leadership qualities to guide and mentor team members effectively

Why Join Us:

Work on cutting-edge projects that push the boundaries of AI and ML Build AI solutions that solve real-world problems and help businesses become efficient and grow Collaborate with a team passionate about innovation and growth Access to the latest tools, technologies, and resources for professional development Be part of a global team and a supportive work environment that values diversity, creativity, and technical excellence

Location: Remote/On-site/Hybrid

Employment Type: Full-time

Compensation: Market competitive and commensurate with experience

We are excited to work with individuals who are passionate about making a meaningful impact through AI innovation. Apply today to be part of our journey!

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Pakistan . Pakistan ₱360,000.00-₱720,000.00 1 month ago Software Engineer - Supplier/Data Experience

Senior Machine Learning Engineer (Personalization)

Senior/Principal Software Engineer-Vue.JS

Principal Software Engineer- (Node+React)

Senior C++ Software Engineer (100% Remote - Pakistan)

Principal Software Engineer- React Native

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Job Title: Senior Machine Learning Engineer at Softech Worldwide

Join us to apply for the

Senior Machine Learning Engineer

role at

Softech Worldwide . About the Company:

We provide Video Content Management systems to Fortune 5000 companies globally, recognized in Gartner's Magic Quadrant. Our systems enable live and on-demand video streaming, multimedia content sharing, and video/audio analysis using machine learning. Job Responsibilities: Develop, test, and deploy machine learning algorithms to enhance our AI capabilities in video and computer vision. Create customized solutions, neural networks, loss functions, and optimizers for specific problems. Integrate applications with open-source computer vision and AI services. Research and implement algorithms for image processing and computer vision. Analyze models qualitatively and quantitatively, and fine-tune models for better performance. Stay updated with latest technological research. Contribute to the design, development, and scaling of high-quality software. Experience with GANs and synthetic data generation is preferred. Participate in system ownership as a core component of our machine vision products. Essential Skills: Proficiency in Python, C#, or C++, with object-oriented design. Experience with Deep Learning frameworks like PyTorch or TensorFlow. Knowledge of computer vision and video analytics algorithms. Experience in scaling and fine-tuning models. Ability to contribute to deep learning architecture discussions. Preferred Skills: Experience with video & audio datasets. Development experience in backend technologies like C#, C++, ASP.NET. Experience with Transformer and CNN-based applications. Knowledge of NLP. Understanding of object-oriented and functional design principles. Minimum Requirements: Bachelor's degree or higher in Computer Science. Independent work ethic and proactive attitude. 3+ years of industry experience in machine learning and deep learning with large datasets. Legal authorization to work. Benefits include health insurance, maternity cover, leave encashment, car support, referral bonuses, EOBI, bi-annual increments, provident fund, career growth, and bonuses. Locations include Pakistan, India, UAE, Australia, Canada, and USA, with benefits varying by location. Additional Details:

Seniority Level: Mid-Senior level Employment Type: Full-time Job Function: Engineering and IT Industries: IT Services and Consulting Referrals can increase your chances of interview success. Get notified about new opportunities in Karachi Division, Sindh, Pakistan.

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Job Description :

Location: Karachi, Pakistan Salary Range: PKR 300,000 – 500,000 per month (depending on experience) Position Summary: We are looking for a talented and experienced Senior Machine Learning Engineer with 4+ years of hands-on experience to join our growing AI team. In this role, you will be responsible for designing, developing, and deploying machine learning models and algorithms to solve real-world business problems. You will lead the creation of AI-powered solutions in areas such as predictive analytics, recommendation systems, computer vision, and natural language processing (NLP). As a Senior ML Engineer, you will collaborate with data scientists, engineers, and business teams to deliver scalable, reliable, and high-performance machine learning models that enhance decision-making and improve business outcomes. Key Responsibilities: Model Development & Deployment: Lead the design, development, and deployment of machine learning models for various applications, including predictive modeling, recommendation systems, NLP, and computer vision. Utilize advanced machine learning algorithms (e.g., decision trees, SVM, ensemble methods, deep learning, reinforcement learning) to create scalable and efficient solutions. Implement models into production-ready systems, ensuring that they meet the scalability, performance, and security requirements. Data Preprocessing & Feature Engineering: Oversee data collection, cleaning, preprocessing, and transformation to ensure data quality and consistency for machine learning models. Develop and implement effective feature engineering techniques to extract meaningful information from raw data. Model Optimization & Performance Tuning: Continuously experiment with and optimize machine learning models to improve accuracy, performance, and efficiency. Conduct hyperparameter tuning, model validation, and cross-validation to ensure the robustness of the models. Ensure that models are optimized for both speed and performance, and are capable of handling large-scale datasets. Machine Learning Algorithms & Research: Stay up to date with the latest advancements in machine learning, deep learning, and artificial intelligence, and incorporate new techniques into the development process. Conduct research on novel machine learning algorithms and evaluate their potential application to the company’s business challenges. Collaborate Across Teams: Work closely with data engineers to ensure seamless data pipeline integration for training and serving machine learning models. Collaborate with product managers and business teams to understand use cases and tailor ML solutions to meet business needs. Mentor and guide junior team members, helping them to enhance their technical skills and understanding of machine learning principles. Model Monitoring & Maintenance: Monitor the performance of deployed models and implement continuous monitoring systems to track model drift, accuracy, and performance over time. Implement solutions for model retraining, scaling, and optimization to ensure models remain effective in production environments. Documentation & Reporting: Write clear documentation for machine learning models, including descriptions, methods, results, and performance metrics. Provide regular updates and reports to stakeholders, communicating the impact of machine learning models on business outcomes. Required Qualifications: Experience: At least 4 years of professional experience in machine learning, data science, or AI engineering, with a focus on deploying and maintaining production-level models. Education: A Master's or Ph.D. in Computer Science, Data Science, Machine Learning, Statistics, or a related field. Technical Skills: Programming Languages: Strong proficiency in Python, with experience in machine learning libraries such as Scikit-learn, TensorFlow, Keras, PyTorch, XGBoost, etc. Data Processing & Pipelines: Experience with data preprocessing techniques, feature engineering, and tools such as Pandas, NumPy, Dask, or Spark. Machine Learning Algorithms: Expertise in a wide range of machine learning algorithms, including supervised learning, unsupervised learning, reinforcement learning, and deep learning (e.g., CNN, RNN, LSTM, GANs). Model Deployment: Experience deploying models into production using Docker, Kubernetes, and cloud platforms like AWS, Google Cloud, or Azure. Model Performance Metrics: In-depth understanding of model evaluation metrics, such as ROC/AUC, F1-score, Precision/Recall, confusion matrix, and cross-validation. NLP & Computer Vision: Familiarity with NLP (e.g., transformers, BERT, GPT) and computer vision (e.g., OpenCV, YOLO, image classification). Big Data Tools: Experience working with big data frameworks like Hadoop, Spark, and distributed computing systems. Mathematical & Statistical Knowledge: Strong foundation in probability, statistics, linear algebra, and calculus, applied in machine learning modeling. Desired Skills & Attributes: Leadership: Ability to take the lead on complex machine learning projects and mentor junior team members. Problem-Solving: Ability to approach complex business challenges and deliver innovative, data-driven solutions. Communication: Strong ability to present complex machine learning concepts to both technical and non-technical stakeholders. Collaboration: Strong team player who can work closely with data scientists, software engineers, and business teams. Adaptability: Ability to adapt to new tools, algorithms, and technologies quickly. Attention to Detail: Keen eye for identifying errors and ensuring the accuracy and reliability of machine learning models. Benefits: Competitive salary based on experience. Health insurance and other company benefits. Opportunities for professional development, certifications, and attending AI/ML conferences. Flexible working hours and a collaborative work environment. The chance to work on impactful, cutting-edge machine learning projects. Job Rewards and Benefits : Provident Fund #J-18808-Ljbffr

AHOY is seeking a talented AI Engineer to join our innovative team dedicated to pushing the boundaries of artificial intelligence technology. In this role, you will develop and implement AI models and algorithms that enhance our products and services. You will be a critical player in designing solutions that optimize operations, improve user experience, and drive business results. Key Responsibilities: Design and develop AI-based applications including machine learning models, natural language processing tools, and predictive analytics solutions. Implement algorithms and models to improve performance and scalability across various platforms. Collaborate with data analysts and software engineers to gather requirements and translate business needs into technical specifications. Analyze large datasets to derive actionable insights and enhance existing AI models. Conduct research on advanced AI algorithms and technologies, evaluating their applicability to current projects. Document processes, methodologies, and technical specifications to facilitate knowledge sharing within the team. Monitor model performance and iterate on design based on real-world feedback and data. Qualifications: Bachelor’s degree in Computer Science, Artificial Intelligence, Data Science, or a related field; Master’s degree preferred. A minimum of 3 years of experience in AI or machine learning roles. Strong programming skills in Python, with familiarity in libraries like TensorFlow, Keras, or PyTorch. Experience with natural language processing (NLP) and/or computer vision is a distinct advantage. Hands-on experience with data preprocessing, feature engineering, and model evaluation techniques. Knowledge of cloud-based AI services (AWS, Google Cloud, Azure) and deployment strategies. Soft Skills: Strong analytical and problem-solving skills with a results-oriented approach. Exceptional communication skills, capable of translating complex ideas into understandable concepts. Ability to work collaboratively in a fast-paced environment and manage multiple projects effectively. Preferred Skills: Familiarity with reinforcement learning, deep learning, or advanced statistical methods. Experience in version control systems like Git is a plus. About the Company:

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Get AI-powered advice on this job and more exclusive features. About Us

Welcome to the cutting-edge world of AI-driven solutions! CoPilot Innovations is an innovative early-stage AI software development company with a mission to empower small and mid-sized businesses to thrive in the digital age. We build intelligent tools and automation solutions that help businesses work smarter, faster, and better. Mid-Level AI Engineer

About Us

Welcome to the cutting-edge world of AI-driven solutions! CoPilot Innovations is an innovative early-stage AI software development company with a mission to empower small and mid-sized businesses to thrive in the digital age. We build intelligent tools and automation solutions that help businesses work smarter, faster, and better.

If you’re passionate about artificial intelligence, eager to solve challenging problems, and want to work on impactful projects from day one, we’d love to hear from you.

Role Overview

As a Mid-Level AI Engineer at CoPilot Innovations, you’ll collaborate with a talented team to design, develop, and optimize AI-powered solutions. You’ll have the opportunity to apply your skills to real-world problems, experiment with the latest AI techniques, and contribute to products that transform how businesses operate.

This role is ideal for someone with a solid technical foundation, a hunger to learn, and the creativity to explore new AI possibilities.

Key Responsibilities

Collaborate with engineers and product teams to design and implement AI models and algorithms Build, test, and optimize AI-driven solutions for automation, analytics, and business process improvement Research and stay current on emerging AI trends, tools, and best practices Work with large datasets to train, evaluate, and fine-tune machine learning models Assist in deploying AI models into production environments, ensuring scalability, reliability, and efficiency Contribute to technical documentation and knowledge sharing within the team.

Requirements

Experience: 2–3 years in AI, machine learning, or a related field OR a strong academic background with notable AI/ML projects Strong understanding of algorithms, data structures, and statistical concepts Proficiency in Python (or similar programming languages) Familiarity with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn (preferred) Strong analytical thinking, problem-solving skills, and curiosity for new challenges Ability to work independently, learn quickly, and adapt to evolving technologies Genuine passion for AI and its transformative potential for businesses.

Bonus Skills (Preferred, Not Required)

Experience with Natural Language Processing, Computer Vision, or Reinforcement Learning Knowledge of cloud services (AWS, GCP, or Azure) and ML deployment pipelines Familiarity with MLOps practices and tools.

Why Join Us?

Be part of a fast-growing startup at the forefront of AI innovation Work on diverse, real-world problems that directly impact businesses. Enjoy a collaborative, supportive, and learning-focused culture Competitive compensation and growth opportunities.

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Job function Engineering and Information Technology Industries Internet Publishing Referrals increase your chances of interviewing at The Plumtree Group Global by 2x Get notified about new Artificial Intelligence Engineer jobs in

Pakistan . Software Engineer - Supplier/Data Experience

Senior Machine Learning Engineer (Personalization)

Senior AI Engineer, LearnWith.AI (Remote) - $200,000/year USD

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AHOY is seeking a talented AI Engineer to join our innovative team dedicated to pushing the boundaries of artificial intelligence technology. In this role, you will develop and implement AI models and algorithms that enhance our products and services. You will be a critical player in designing solutions that optimize operations, improve user experience, and drive business results. Key Responsibilities: Design and develop AI-based applications including machine learning models, natural language processing tools, and predictive analytics solutions. Implement algorithms and models to improve performance and scalability across various platforms. Collaborate with data analysts and software engineers to gather requirements and translate business needs into technical specifications. Analyze large datasets to derive actionable insights and enhance existing AI models. Conduct research on advanced AI algorithms and technologies, evaluating their applicability to current projects. Document processes, methodologies, and technical specifications to facilitate knowledge sharing within the team. Monitor model performance and iterate on design based on real-world feedback and data. Qualifications: Bachelor’s degree in Computer Science, Artificial Intelligence, Data Science, or a related field; Master’s degree preferred. A minimum of 3 years of experience in AI or machine learning roles. Strong programming skills in Python, with familiarity in libraries like TensorFlow, Keras, or PyTorch. Experience with natural language processing (NLP) and/or computer vision is a distinct advantage. Hands-on experience with data preprocessing, feature engineering, and model evaluation techniques. Knowledge of cloud-based AI services (AWS, Google Cloud, Azure) and deployment strategies. Soft Skills: Strong analytical and problem-solving skills with a results-oriented approach. Exceptional communication skills, capable of translating complex ideas into understandable concepts. Ability to work collaboratively in a fast-paced environment and manage multiple projects effectively. Preferred Skills: Familiarity with reinforcement learning, deep learning, or advanced statistical methods. Experience in version control systems like Git is a plus.

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