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Confiz

<div>We are seeking a Machine Learning Engineer with 3-7 years of experience in the field. The ideal candidate will have a strong foundation in low-level machine learning skills, data science, and advanced AI techniques. You will be working with Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and other state-of-the-art toolchains. Additionally, familiarity with cloud operations will be beneficial. If you are passionate about pushing the boundaries of AI and enjoy working on complex challenges, we want to hear from you.
Responsibilities:
<ul><li>Design, implement, and optimize machine learning models and algorithms, focusing on low-level techniques and cutting-edge AI methodologies.</li>
<li>Develop and maintain data pipelines, perform exploratory data analysis, and apply data preprocessing techniques to ensure high-quality input for machine learning models. LLM &amp; RAG Implementation: Leverage and fine-tune Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) systems to create innovative solutions and enhance model performance.</li>
<li>Utilize and integrate modern toolchains and frameworks (e.g., TensorFlow, PyTorch, Hugging Face) to build and deploy machine learning models.</li>
<li>Manage and optimize machine learning workflows in cloud environments (e.g., AWS, Google Cloud, Azure), ensuring scalability and efficiency.</li>
<li>Work closely with cross-functional teams, including data scientists, software engineers, and product managers, to align on project goals and deliver high-impact solutions.</li>
</ul>
Requirements:
<ul><li>Minimum 3 years of professional experience in machine learning and AI engineering.</li>
<li>Proficiency in Python and relevant libraries (e.g., NumPy, pandas, scikit-learn). Strong understanding of machine learning algorithms, statistical analysis, and model evaluation techniques.</li>
<li>Hands-on experience with Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) technologies, including fine-tuning and deployment.</li>
<li>Solid background in data science principles, including data preprocessing, feature engineering, and model selection.</li>
<li>Cloud Operations: Experience with cloud platforms (AWS, Google Cloud, Azure) and knowledge of cloud-based machine learning services and deployment strategies.</li>
<li>Familiarity with machine learning frameworks and tools (e.g., TensorFlow, PyTorch, Hugging Face Transformers) and version control systems (e.g., Git).</li>
<li>Strong analytical and problem-solving skills, with the ability to tackle complex challenges and derive actionable insights.</li>
<li>Excellent communication skills, with the ability to present technical concepts clearly and effectively to non-technical stakeholders.</li>
<li>Experience working in an Agile or iterative development environment is a plus.</li>
</ul>
We have a global team of amazing individuals working on highly innovative enterprise projects &amp; products. Our customer base includes Fortune 100 retail and CPG companies, leading store chains, fast growth fintech, and multiple Silicon Valley startups. 
 
What makes Confiz stand out is our focus on processes and culture. Confiz is ISO 9001:2015 (QMS), ISO 27001:2022 (ISMS), ISO 20000-1:2018 (ITSM) and ISO 14001:2015 (EMS) Certified. We have a vibrant culture of learning via collaboration and making workplace fun. 
 
People who work with us work with cutting-edge technologies while contributing success to the company as well as to themselves. 
To know more about Confiz, visit: https://www.linkedin.com/company/confiz/</div>

Machine Learning Engineer

Softech Worldwide

<div>
 We are looking to add talented Machine Learning Engineers to our team, who&rsquo;ll work on developing AI-based systems for enterprise-class video streaming and processing applications. The position requires exceptional knowledge and skills in Machine Learning development such as Computer vision, development and implementation of algorithms for image processing and python.
 
 
 We provide Video Content Management systems to Fortune 5000 companies across the globe and are recognized in Gartner's Magic Quadrant. Our developed systems empower our customers to deliver Live as well as On-Demand Video Streaming to their audience, store and share multimedia content as well as perform Video and Audio Analysis using Machine Learning
 
 
 As a Machine Learning Engineer, your responsibility would be to solve complex problems by analyzing, developing, implementing AI algorithms, You should be able to evaluate existing machine learning processes both qualitative and quantitatively, Fine-tuning existing models to improve predictive performance and generate meaningful insights. Build reusable libraries as per industry standards.
 
 
 
 Job Description
 
 
 
 <ul>
 <li>
 Developing, testing, and deploying machine learning algorithms to enhance VIDIZMO Cognitive &amp; Computer Vision Artificial Intelligence Capabilities &amp; Features.
 </li>
 <li>
 Able to create and explain your own customized solutions for specific problems such as customized neural networks, loss functions, optimizers, metrics.
 </li>
 <li>
 Develop Applications and integrations with open Source Computer Vision and Cognitive Artificial Intelligence Services.
 </li>
 <li>
 Perform research, development and implementation of algorithms for image processing and computer vision.
 </li>
 <li>
 Perform qualitative and quantitative analysis of models developed.
 </li>
 <li>
 Stay tuned to the forefront of technology research.
 </li>
 <li>
 Proven contribution to design, development and scaling of high quality, practical reliable software.
 </li>
 <li>
 Preferably worked with GANs, familiar with synthetic data generation/synthetic imagery.
 </li>
 <li>
 Participate in ownership of a system that will be a core component of our machine vision and image analysis products.
 
 
 </li>
 </ul>
 
 Essential Skills
 
 
 
 <ul>
 <li>
 Programming experience with at least one modern language such as Python, C#, or C++ including object-oriented design.
 </li>
 <li>
 Hands-on experience with Deep Learning framework Pytorch or Tensorflow.
 </li>
 <li>
 Experience in Computer Vision and Video analytics algorithms such as detection, classification, recognition, segmentation and tracking.
 </li>
 <li>
 Experience in scaling and fine-tuning existing models
 </li>
 <li>
 Ability to partake in deep learning architectural discussions and drive technical decision making
 
 
 </li>
 </ul>
 
 Preferred Skills
 
 
 
 <ul>
 <li>
 Hands-on experience on datasets related to video &amp; audio
 </li>
 <li>
 Preferred development experience in Backend technologies i.e. C#, C,C++ , ASP.NET
 </li>
 <li>
 Experience in developing Transformer and CNN -based applications.
 </li>
 <li>
 Knowledge of NLP
 </li>
 <li>
 Knowledge of object-oriented and functional design principles, and best practice patterns.
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 Minimum Bachelors degree or above in Computer Science
 </li>
 <li>
 Can work independently and have a go-getter attitude
 </li>
 <li>
 1-4 years industry experience in machine learning &amp; deep Learning framework and working with large data sets and system
 </li>
 <li>
 Authorized to Work Legally
 
 
 </li>
 </ul>
 Benefits: Health Insurance (OPD/IPD), Separate Maternity Cover, Leave encashment, Car Support Program, Referral Bonus, EOBI, Bi-Annual Increment. Provident Fund, Career Growth, Bonus
 
 
 Multiple Locations: Pakistan, India, UAE, Australia, Canada &amp; USA (benefits vary based on location)
</div>

Associate Machine Learning Engineer

VIDIZMO LLC

<div>We are looking to add talented Machine Learning Engineers to our team, who&rsquo;ll work on developing AI-based systems for enterprise-class video streaming and processing applications. The position requires exceptional knowledge and skills in Machine Learning development such as Computer vision, development and implementation of algorithms for image processing and python. 
We provide Video Content Management systems to Fortune 5000 companies across the globe and are recognized in Gartner's Magic Quadrant. Our developed systems empower our customers to deliver Live as well as On-Demand Video Streaming to their audience, store and share multimedia content as well as perform Video and Audio Analysis using Machine Learning 
As a Machine Learning Engineer, your responsibility would be to solve complex problems by analyzing, developing, implementing AI algorithms, You should be able to evaluate existing machine learning processes both qualitative and quantitatively, Fine-tuning existing models to improve predictive performance and generate meaningful insights. Build reusable libraries as per industry standards. 
Job Description: 
<ul>
<li>
Developing, testing, and deploying machine learning algorithms to enhance VIDIZMO Cognitive &amp; Computer Vision Artificial Intelligence Capabilities &amp; Features. 
</li>
<li>Able to create and explain your own customized solutions for specific problems such as customized neural networks, loss functions, optimizers, metrics. 
</li>
Develop Applications and integrations with open Source Computer Vision and Cognitive Artificial Intelligence Services. 
<li>
</li>
<li>Perform research, development and implementation of algorithms for image processing and computer vision. 
</li>
<li>Perform qualitative and quantitative analysis of models developed. 
</li>
<li>Stay tuned to the forefront of technology research. 
</li>
<li>Proven contribution to design, development and scaling of high quality, practical reliable software.</li>
<li>Preferably worked with GANs, familiar with synthetic data generation/synthetic imagery.</li>
<li>Participate in ownership of a system that will be a core component of our machine vision and image analysis products.</li></ul> 


Essential Skills: 
<ul>
<li>
Programming experience with at least one modern language such as Python, C#, or C++ including object-oriented design.</li>
Hands-on experience with Deep Learning framework Pytorch or Tensorflow. 
<li>
</li>
<li>Experience in Computer Vision and Video analytics algorithms such as detection, classification, recognition, segmentation and tracking.</li>
<li>Experience in scaling and fine-tuning existing models</li>
<li>Ability to partake in deep learning architectural discussions and drive technical decision making</li></ul> 


Preferred Skills: 
<ul>
<li>
Hands-on experience on datasets related to video &amp; audio</li>
<li>Preferred development experience in Backend technologies i.e. C#, C,C++ , ASP.NET</li>
<li>Experience in developing Transformer and CNN -based applications.</li>
<li>Knowledge of NLP 
</li>
</ul><ul><li>Knowledge of object-oriented and functional design principles, and best practice patterns.</li></ul> 


Requirements: 
<ul>
<li>
Minimum Bachelors degree or above in Computer Science</li>
<li>Can work independently and have a go-getter attitude</li>
</ul><ul><li>1-4 years industry experience in machine learning &amp; deep Learning framework and working with large data sets and system</li>
<li>Authorized to Work Legally</li></ul> 
 
Benefits: Health Insurance (OPD/IPD), Separate Maternity Cover, Leave encashment, Car Support Program, Referral Bonus, EOBI, Bi-Annual Increment. Provident Fund, Career Growth, Bonus 
Multiple Locations: Pakistan, India, UAE, Australia, Canada &amp; USA (benefits vary based on location)</div>

Arc Inventor

rc Inventador is a fast-growing technology company specializing in building scalable and innovative SaaS solutions for global clients. We focus on software development, cloud-based product engineering, and digital transformation. Our team is passionate about delivering intelligent platforms that solve real-world business challenges across multiple industries.As a Machine Learning Engineer, you will play a critical role in designing, developing, and deploying advanced NLP and conversational AI solutions. You will work on speech technologies, automation, and intelligent workflows, collaborating closely with backend engineers, product teams, and voice platform experts. This position requires strong technical expertise, hands-on coding skills, and a product-focused mindset.Key ResponsibilitiesNLP Development<ul><li>Build and deploy NLP pipelines for intent detection, entity extraction, sentiment analysis, and conversational flow management using libraries such as NLTK, spaCy, or Transformers.</li><li>Fine-tune and maintain language models to deliver domain-specific conversational experiences.</li></ul>Machine Learning &amp; Conversational AI<ul><li>Design and implement ML models for dialog management, FAQ automation, and multi-turn conversation flows across chat and voice platforms.</li><li>Prototype intelligent automation features including call summarization, intent routing, and IVR automation.</li></ul>Speech Technologies<ul><li>Integrate Speech-to-Text (STT) and Text-to-Speech (TTS) systems (e.g., Whisper, Google STT/TTS, Amazon Polly).</li><li>Monitor and optimize speech model performance, latency, and reliability in production.</li></ul>Engineering &amp; Deployment<ul><li>Develop scalable ML APIs and microservices for production-grade applications.</li><li>Work with REST APIs for model integration and deployment.</li><li>Collaborate with engineers and product managers to deliver production-ready ML solutions.</li></ul>Data Handling &amp; Research<ul><li>Process, annotate, and analyze large-scale multilingual datasets for training and validation.</li><li>Document pipelines, workflows, and research findings to support knowledge sharing.</li></ul>Required Skills &amp; Experience<ul><li>Experience: 3&ndash;4 years in ML Engineering or NLP-focused roles.</li><li>NLP Expertise: Hands-on experience with NLTK, spaCy, Transformers, or similar NLP frameworks.</li><li>Machine Learning: Strong Python skills with PyTorch, TensorFlow, or scikit-learn.</li><li>Speech Technologies: Experience developing STT/TTS solutions (Whisper, Google STT/TTS, Amazon Polly, etc.).</li><li>APIs &amp; Deployment: Proficiency in working with REST APIs, microservices, and ML model deployment.</li><li>Version Control &amp; Agile: Solid understanding of Git, Agile/Scrum workflows, and collaborative development.</li><li>Coding Experience: Proven ability to write clean, maintainable, and scalable production code.</li><li>Data Handling: Exposure to large text/audio datasets for model training and evaluation.</li></ul>Job Type: Full-timeWork Location: In person

Designs Tech

YouTube AI Automation InternshipLocation: Gulistan e jauhar block 8Timing: 12pm to 6pmAbout the InternshipWe're looking for an intern to help with AI automation on YouTube. This involves using AI tools to optimize and automate tasks like content management and viewer engagement analysis.Responsibilities- Help develop and test AI automation scripts for YouTube.- Apply AI for content optimization and trend analysis.- Work with the team to improve automation workflows.- Document project outcomes.Requirements- Interest in AI, automation, and YouTube.- Basic programming understanding or willingness to learn.- *Must bring your own laptop*.What We Offer- Hands-on experience with AI automation and YouTube analytics.- Work on cool projects in a dynamic team.Job Types: Part-time, Internship, Fresher Contract length: 3 monthsPay: Rs10,000.00 - Rs15,000.00 per monthWork Location: In person

Youtube Ai Automation (Internship)

TECIZ EVERYHTING

Job Title: .NET Developer InternWe are seeking a motivated .NET Intern to join our team. This internship provides hands-on experience in software development while leveraging modern AI tools like GitHub Copilot and Claude Code to improve productivity and learning.Key Responsibilities:<ul><li>Support in the design, development, and maintenance of .NET applications</li><li>Collaborate with senior developers on ongoing projects</li><li>Write clean, efficient, and maintainable code</li><li>Utilize AI tools (Copilot, Claude Code) for code suggestions, debugging, and faster learning</li><li>Participate in testing, reviews, and deployment activities</li></ul>Requirements:<ul><li>Basic understanding of C#, .NET Core/Framework, and OOP concepts</li><li>Knowledge of databases (SQL)</li><li>Familiarity with front-end basics (HTML, CSS, JavaScript) is a plus</li><li>Strong willingness to learn and adapt to AI-powered workflows</li><li>Good communication and problem-solving skills</li></ul>We Offer:<ul><li>Mentorship from experienced professionals</li><li>Real-world project exposure</li><li>Opportunity to work with cutting-edge AI development tools</li><li>Internship certificate and consideration for a full-time role</li></ul>Job Type: Full-timePay: From Rs15,000.00 per monthWork Location: In person

.Net Developer

Logicsols

Must-Have Skills &amp; Experience<ul><li>5+ years professional experience in Machine Learning / Data Science / ML Engineering.</li></ul><ul><li>Strong proficiency in Python (pandas, NumPy, scikit-learn).</li></ul><ul><li>Hands-on experience with machine learning frameworks (PyTorch or TensorFlow).</li></ul><ul><li>Solid SQL skills and comfort working with large, messy enterprise datasets.</li></ul><ul><li>Proven track record of taking AI/ML solutions from prototype to production.</li></ul><ul><li>Experience deploying models as APIs (FastAPI, Flask, or similar) and packaging with Docker.</li></ul><ul><li>Practical knowledge of time-series forecasting and predictive modeling.</li></ul><ul><li>Experience with mathematical optimization (linear programming, OR-Tools, Pyomo, or equivalent).</li></ul><ul><li>Strong data engineering capability: building ETL pipelines and feature engineering.</li></ul><ul><li>Ability to work end-to-end across the ML lifecycle (data &rarr; model &rarr; deployment &rarr; monitoring).</li></ul><ul><li>Comfortable working as a solo contributor in a fast-paced startup environment.</li></ul><ul><li>Strong communication skills: able to explain technical work in terms of business outcomes.</li></ul>Job Type: Full-timeExperience:<ul><li>Machine Learning / Data Science / ML Engineering: 5 years (Preferred)</li></ul>Work Location: In person

Senior AI/ML Engineer (Full-Stack)

Explore 451+ Machine learning intern in Karachi this October. Find roles across top companies and apply now to boost your career.

451 machine learning intern jobs IN Karachi

Machine Learning Engineer

Associate Machine Learning Engineer

Associate Machine Learning Engineer

Machine Learning Engineer

Youtube Ai Automation (Internship)

.Net Developer

Senior AI/ML Engineer (Full-Stack)