hr intern

social media intern

business development intern Jobs in Lahore

business development intern

content writer intern

ai developer

machine learning intern

Techtimize

About the Role:We are looking for a passionate and motivated AI Intern to join our team. This internshipprovides an excellent opportunity to gain hands-on experience in AI projects, machine learning,and backend development using FastAPI.Key Responsibilities:&#9679; Assist in developing and deploying AI models and solutions&#9679; Contribute to building and maintaining RESTful APIs using FastAPI&#9679; Support tasks such as data preprocessing, model training, and performance evaluation&#9679; Collaborate with the team on various AI-related initiatives&#9679; Prepare documentation and share progress with mentors/supervisorsRequirements:&#9679; Bachelor&rsquo;s degree (completed or in final year) in Artificial Intelligence (AI), ComputerScience (CS), Software Engineering (SE), or a related field&#9679; Basic understanding of Python programming&#9679; Familiarity with FastAPI and web development concepts&#9679; Foundational knowledge of machine learning and deep learning techniques&#9679; Final Year Project (FYP) should be in AI or a relevant domain&#9679; Willingness to learn, take initiative, and work collaboratively in a team environmentPreferred Qualifications:&#9679; Exposure to libraries like TensorFlow, PyTorch, or scikit-learn&#9679; Basic experience with Git or other version control toolsApply: hr@techtimize.coJob Type: Full-timePay: Rs30,000.00 per monthWork Location: In person

AI Intern

Orax Technologies

We are seeking a motivated AI Engineer Intern who is eager to learn and work on exciting projects involving machine learning, deep learning, and data-driven applications. This is a great opportunity to gain hands-on experience in AI development and contribute to real projects under the guidance of experienced mentors.Responsibilities:<ul><li>Assist in designing, developing, and testing AI/ML models.</li><li>Preprocess and analyze datasets for training and evaluation.</li><li>Work with Python libraries such as TensorFlow, PyTorch, scikit-learn, and OpenCV.</li><li>Research and implement state-of-the-art AI techniques for ongoing projects.</li><li>Collaborate with the team to integrate AI models into products.</li></ul>Requirements:<ul><li>Currently pursuing or recently completed a degree in computer science, AI, data science, or a related field.</li><li>Basic understanding of machine learning algorithms and neural networks.</li><li>Familiarity with Python programming and relevant libraries.</li><li>Strong problem-solving and analytical skills.</li><li>Willingness to learn and adapt in a fast-paced environment.</li></ul>Perks:<ul><li>Hands-on mentorship from experienced engineers.</li><li>Exposure to real-world AI applications and projects.</li><li>Opportunity to transition to a full-time role based on performance.</li></ul>Duration: 3 MonthsApply Now: submit your CV via Indeed or careers@oraxtech.comJob Types: Internship, Fresher Contract length: 3 monthsEducation:<ul><li>Bachelor's (Preferred)</li></ul>Location:<ul><li>Lahore Johar Town (Preferred)</li></ul>Work Location: In person

AI Engineer Intern

Cloudelligent

<div>
 
 
 
 Cloudelligent is looking for enthusiastic candidates for the position of AWS AI Intern Intern.
 
 
 Position Title:
 
 AWS AI Intern&nbsp;
 
 
 Job Timings:
 
 6:00 pm to 3:00 am PKT, On-site
 
 
 
 Location: Lahore
 
 
 &nbsp;
 
 
 About Cloudelligent&nbsp;
 
 
 
 
 
 Cloudelligent is Cloud-native consultancy and AWS Advanced consulting partner! We specialize in providing bespoke cloud solutions to Startups &amp; SMBs. Being a next-gen cloud service provider, Cloudelligent helps businesses to make the most out of their cloud investment. We have an international footprint with a diverse team of domain experts, and we are customer obsessed.&nbsp;
 
 
 
 
 
 Requirements
 
 
 
 <ul>
 <li>
 
 
 
 Computer science, software engineering or related field graduates are eligible to apply.
 
 
 
 </li>
 <li>
 
 
 
 General understanding or familiarity with cloud platforms, preferably AWS.
 
 
 
 </li>
 <li>
 
 
 
 Familiarity with AI/ML frameworks.
 
 
 
 </li>
 <li>
 
 
 
 Basic understanding of cloud-based AI services and interest in exploring AWS data services.
 
 
 
 </li>
 <li>
 
 
 
 Eagerness to learn emerging AI tools and technologies.
 
 
 
 </li>
 <li>
 
 
 
 Can-do and a proactive attitude towards assigned tasks.
 
 
 
 </li>
 <li>
 
 
 
 An immense desire for learning.
 
 
 
 </li>
 <li>
 
 
 
 Availability to work in US timings is required.
 
 
 
 
 </li>
 </ul>
 
 
 
 
 Additional Information&nbsp;&nbsp;
 
 
 
 
 <ul>
 <li>
 
 
 
 
 Paid internship.&nbsp;
 
 
 
 
 </li>
 <li>
 
 
 
 
 Prospect of full-time employment based on satisfactory performance during the internship period.&nbsp;
 
 
 
 
 </li>
 </ul>
</div>

AWS AI Intern (C-0425123)

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

Architecture In Motion

<div>Job Summary: 


We are seeking an Azure Machine Learning MLOps Engineer to work in AI/ML team. 
As an ML Engineer, you'll be responsible for design, development and implementation of all cycles of MLOps including test, staging, monitoring and deployment of predictive models on cloud-based platform specifically Azure cloud. ML Engineer needs to ensure that our machine learning systems are reliable, scalable, and secure, and that they meet the needs of our customers. 


The ideal candidate will have an extended experiences of deployment and maintaining of AI / ML models in production, a deep understanding of the latest developments in machine learning &amp; artificial intelligence and working experience with both structured and unstructured data. 


Job Responsibilities: 

<ul>
<li>Collaborate closely with the AI / ML and software teams to improve the internal processes and integrate the Machine Learning models into our products and services.</li>
<li>MLOps and Automation that cover automating data pipelines, monitoring data processes, and managing deployments using tools like Azure DevOps, Azure Monitor, and Azure Automation to achieve continuous integration and delivery (CI/CD).</li>
<li>Deploy and manage AI/ML models in production.</li>
<li>Automating AI/ML model deployment and updating.</li>
<li>Setting up monitoring for the AI/ML pipeline.</li>
<li>Automating scalable CI/CD pipelines to account for data, codes, and model changes.</li>
<li>Development and setting up automated model retraining and test pipelines.</li>
<li>Prepare unit tests for AI / ML algorithms and models.</li>
<li>Contribution in design, development, and test of data ETL pipelines for ML models.</li>
<li>Provides best practices and running proof-of-concepts for automated and efficient model operations on a large scale.</li>
<li>Maintaining the infrastructure that supports the models and algorithms.</li>
<li>Design, build and deploy powerful BI solutions as per business requirements.</li>
<li>Participate in modeling Relational and NoSQL databases.</li>
<li>Host and optimize ML Artifacts on premise and on the cloud.</li>
<li>Contribution in projects documentation.</li>
<li>Investigating new technologies that meet corporate standards to enhance the team.</li>
<li>Work in a team oriented and agile environment based on designed scrums, sprints and daily stand ups.</li>
<li>Ability to work on your own and with the team.</li>
<li>Performs other duties as assigned.</li></ul> 


Qualifications: 


You MUST have the following: 

<ul>
<li>Bachelor&rsquo;s degree in computer science, Computer Engineering, Machine Learning, or related areas.</li>
<li>Proven experience as a ML Ops Engineer or similar role.</li>
<li>Understanding of data structures, data modeling and software architecture.</li>
<li>Ability to design and implement cloud solutions.</li>
<li>Ability to write robust codes in SQL and Python.</li>
<li>Experience working with Containers and Kubernetes.</li>
<li>High level knowledge of frameworks such as Keras, PyTorch, Tensorflow.</li>
<li>Ability to build MLOps pipelines including CI/CD Configuration Management, Containers &amp; Infrastructure Orchestration.</li>
<li>Experience with software development and preparation of Python packages.</li>
<li>Experience in using MLOps frameworks like MLFlow.</li>
<li>Working knowledge of orchestrating end to end ML pipelines.</li>
<li>Deep understanding of Azure, Private Networking, ML Studio and its sub-components, Azure Synapse, Azure DataBricks, Azure Stream Analytics, Azure Data factory, OpenAI, Github Actions, and Azure DevOps.</li>
<li>Experiences with version control tools such as Github.</li>
<li>Work experiences with typical data storage technologies and methodologies included data warehouse and data lake.</li>
<li>Work experience with APIs.</li>
<li>Expertise in SQL, NoSQL databases.</li>
<li>Ability to write Linux/Unix Shell Scripting.</li>
<li>Excellent communication skills.</li>
<li>Ability to work in a team.</li>
<li>Outstanding analytical and problem-solving skills.</li></ul> 


Working Hours:

Eastern Standard Time (EST)</div>

Azure Machine Learning Engineer - (Remote)

Marketing Tech Sol

We&rsquo;re looking for a passionate AI/ML Engineer with hands-on experience in Natural Language Processing (NLP), Large Language Models (LLMs), and Generative AI. If you have a solid understanding of Computer Vision and experience deploying models on cloud platforms, we&rsquo;d love to meet you.Responsibilities<ul><li>Design, train, and fine-tune LLMs (such as GPT, BERT, LLaMA, etc.) for NLP tasks</li><li>Develop intelligent and creative solutions powered by Generative AI</li><li>Work on projects involving chatbots, summarization, sentiment analysis, and text classification</li><li>Optimize and deploy AI models using frameworks like TensorFlow, PyTorch, and Hugging Face</li><li>Apply computer vision algorithms for detection and recognition tasks</li><li>Deploy and manage models on AWS, Azure, or Google Cloud</li><li>Stay current with emerging AI research and technologies</li><li>Follow best practices in AI ethics, data privacy, and model security</li></ul>Requirements<ul><li>At least 2 years of experience in Machine Learning or AI-related work</li><li>Strong background in NLP, LLMs, and Generative AI</li><li>Skilled in Python and major ML libraries (TensorFlow, PyTorch, Hugging Face)</li><li>Understanding of Computer Vision and/or Reinforcement Learning is a plus</li><li>Cloud experience (AWS, Azure, or GCP) for model deployment</li><li>Familiarity with MLOps, Docker, Kubernetes, and CI/CD pipelines</li><li>Knowledge of LangChain and LangGraph frameworks preferred</li><li>Bachelor&rsquo;s or Master&rsquo;s in Computer Science, AI, Data Science, or related field</li></ul>CompensationStarting salary ranges from Rs. 95,000 to Rs. 120,000 per month, based on skills and experience.How to ApplyEmail: advitandhealthsol@gmail.com WhatsApp: 03126155418Job Type: Full-timePay: From Rs95,000.00 per monthWork Location: In person

Senior AI / Machine Learning Engineer

Devsinc

<div>
 Devsinc is a global technology powerhouse with 1200+ expert engineers delivering cutting-edge software solutions to startups, SMEs, and enterprises across North America, MENA, APAC, and Europe. From AI-driven marketing to enterprise-grade development, we empower businesses to innovate and scale. At Devsinc, we believe in nurturing talent and providing young professionals with the right environment to learn, grow, and excel.
 
 
 
 Requirements
 
 
 
 
 Core Responsibilities
 
 
 
 <ul>
 <li>
 Assist in creating, managing, and optimizing AI-driven marketing campaigns
 </li>
 <li>
 Support the marketing team with audience segmentation and performance tracking
 </li>
 <li>
 Research and experiment with AI-powered tools for content generation, SEO, and paid ads
 </li>
 <li>
 Collaborate with cross-functional teams to provide data-backed insights
 </li>
 <li>
 Stay updated on AI and marketing automation trends
 
 
 </li>
 </ul>
 
 Qualification
 
 
 
 <ul>
 <li>
 Bachelor's (or in final year) in Marketing, Computer Science, Data Science, or related field
 </li>
 <li>
 Coursework/projects related to marketing analytics, AI, or digital media will be a plus
 
 
 </li>
 </ul>
 
 Required Skills
 
 
 
 <ul>
 <li>
 Basic understanding of digital marketing concepts (SEO, SEM, social media, PPC)
 </li>
 <li>
 Familiarity with AI tools like ChatGPT, Claude, Jasper, Copy.ai, or analytics platforms
 </li>
 <li>
 Strong analytical mindset and problem-solving ability
 </li>
 <li>
 Excellent communication skills (written and verbal)
 </li>
 </ul>
</div>

Trainee Intern - AI Marketing

Explore 501+ Machine learning intern in Lahore this October. Find roles across top companies and apply now to boost your career.