software engineer

ai/ml engineer

application engineer

data engineer

fullstack engineer

machine learning engineer

DIGINERS

<p>We are seeking a skilled and motivated AI Engineer with 2+ years of hands-on experience in developing, deploying, and optimizing AI/ML models. The ideal candidate should have strong foundations in machine learning, deep learning, data engineering, and software development. You will work closely with cross-functional teams to design intelligent solutions that improve system performance, automate workflows, and create impactful user experiences.</p><p><b>Key Responsibilities</b></p><p>1. AI/ML Model Development</p><p>&middot; Design, develop, and optimize machine learning and deep learning models for various business use cases.</p><p>&middot; Train, validate, and fine-tune models using structured and unstructured datasets.</p><p>&middot; Conduct exploratory data analysis (EDA) and feature engineering to improve model performance.</p><p>2. Deployment &amp; MLOps</p><p>&middot; Deploy machine learning models into production using cloud platforms (AWS/Azure/GCP) or on-prem environments.</p><p>&middot; Create CI/CD pipelines for model training, testing, and deployment.</p><p>&middot; Implement monitoring systems to track model accuracy, drift, and performance over time.</p><p>3. Data Engineering &amp; Preparation</p><p>&middot; Work with large datasets, ensuring proper data preprocessing, cleaning, labelling, and transformation.</p><p>&middot; Develop scalable data pipelines and integrate models with databases, APIs, and backend systems.</p><p>4. Research &amp; Innovation</p><p>&middot; Stay updated with latest advancements in AI, NLP, computer vision, generative models, and automation technologies.</p><p>&middot; Experiment with emerging tools, frameworks, and LLM technologies to improve workflows and drive product innovation.</p><p>5. Collaboration &amp; Documentation</p><p>&middot; Work with software engineers, product managers, and domain experts to understand requirements and translate them into technical solutions.</p><p>&middot; Document model architecture, experiments, versioning, and deployment processes for internal reference.</p><p><b>Required Qualifications</b></p><p><b>Experience</b></p><p>&middot; Minimum 2 years of professional experience working as an AI Engineer, ML Engineer, Data Scientist, or similar role.</p><p>&middot; Experience building and deploying machine learning models in real-world production systems.</p><p><b>Technical Skills</b></p><p>&middot; Strong understanding of machine learning algorithms, deep learning architectures (CNNs, RNNs, Transformers), and model optimization techniques.</p><p>&middot; Proficiency in Python and ML frameworks like TensorFlow, PyTorch, Scikit-learn, Keras.</p><p>&middot; Experience with data processing frameworks such as Pandas, NumPy, Spark, or Dask.</p><p>&middot; Hands-on experience with cloud platforms (AWS Sagemaker, Azure ML, GCP Vertex AI).</p><p>&middot; Familiarity with Docker, Kubernetes, and MLOps tools.</p><p>&middot; Strong grasp of REST APIs, microservices, and system integrations.</p><p><b>Soft Skills</b></p><p>&middot; Strong problem-solving skills and analytical thinking.</p><p>&middot; Excellent communication skills to explain technical concepts clearly.</p><p>&middot; Ability to work in a fast-paced, collaborative environment.</p><p>&middot; Attention to detail and commitment to writing clean, scalable, maintainable code.</p><p><b>Preferred Qualifications (Optional)</b></p><p>&middot; Experience with NLP, LLMs, or Computer Vision.</p><p>&middot; Familiarity with vector databases, LangChain, or RAG pipelines.</p><p>&middot; Experience with A/B testing, experimentation, and ML observability tools.</p><p>&middot; Contribution to open-source AI/ML projects.</p><p><b>What We Offer</b></p><p>&middot; Competitive salary package based on experience.</p><p>&middot; Opportunities for technical growth, certifications, and professional development.</p><p>&middot; Collaborative work environment with cutting-edge AI technologies.</p><p>&middot; Flexible working hours and supportive team culture.</p><p>Job Types: Full-time, Part-time, Contract<br/>Contract length: 6 months</p><p>Expected hours: No less than 8 per week</p><p>Work Location: In person</p>

AI Engineer

Hope Global School

<div><h3 class="jobSectionHeader"><b>Job Description</b></h3>
<div>We are seeking a talented AI Developer to design, develop, and implement artificial intelligence solutions that optimize business processes and enhance decision-making. The role involves creating machine learning models, natural language processing systems, and intelligent algorithms while collaborating with cross-functional teams. The developer will ensure scalable, efficient, and innovative AI solutions, stay updated with AI trends, and contribute to cutting-edge projects that drive technological advancement.</div>
<h3 class="jobSectionHeader"><b>Key Responsibilities</b></h3>
<ul><li>Design and develop AI models for business process automation.</li>
<li>Implement machine learning algorithms and train models on datasets.</li>
<li>Collaborate with teams to integrate AI solutions into products.</li>
<li>Optimize algorithms to improve model accuracy and processing efficiency.</li>
<li>Conduct research on emerging AI technologies and best practices.</li>
<li>Debug and troubleshoot AI systems ensuring reliable performance delivery.</li>
<li>Document AI workflows, experiments, and system architectures effectively.</li>
<li>Ensure compliance with ethical guidelines and data privacy regulations.</li>
</ul><h3 class="jobSectionHeader"><b>Skill &amp; Experience</b></h3>
<ul><li>Strong programming skills in Python, Java, R, and C++.</li>
<li>Experience with machine learning frameworks such as TensorFlow, PyTorch.</li>
<li>Knowledge of data preprocessing, feature engineering, and model evaluation.</li>
<li>Understanding of NLP, computer vision, or deep learning concepts.</li>
<li>Analytical mindset with problem-solving abilities for complex AI challenges.</li>
<li>Excellent teamwork, communication, and project management skills consistently.</li>
</ul>
<p><b>Note:</b> Salary is disbursed in the local currency of the country of employment.</p></div>
<br><div></div><div><ul><li><div><div>Date Posted</div>
<div>November 16, 2025</div>
</div></li><div></div><li><div><div>Location</div>
<div><div>Rawalpindi, Pakistan, Lahore, Pakistan, Karachi, Pakistan, Islamabad, Pakistan, Faisalabad, Pakistan
</div></div></div></li><div></div><li><div><div>Offered Salary:</div>
 <div>2128500 - 3184160 / year</div>
</div></li><div></div><li><div><div>Expiration date</div>
<div>December 17, 2025
</div></div></li><div></div><li><div><div>Experience</div>
<div>2 Year
</div></div></li><div></div><li><div><div>Gender</div>
<div>Both
</div></div></li><div></div><li><div><div>Qualification</div>
<div>Bachelor Degree</div></div></li></ul></div>

AI Developer

Jeeny

<div><p><b>About Jeeny:</b><br>
Jeeny is a mobile application that eases daily commuting and transportation. By connecting you with your preferred mode of transportation, we are fulfilling our aim of making mobility accessible, affordable, and flexible for all.<br>
We are a joint venture between MEIG (Middle East Internet Group), Rocket Internet, and IMENA. Jeeny was established in 2014 as Easy Taxi. However, in 2016, it was revamped as Jeeny to cater to other services. Currently, we are operational in Saudi Arabia and Jordan.<br>
We have offices in Riyadh, Jeddah, Madinah, Dammam, Khobar, Amman, Lahore, and Karachi.<br>
<br>
<b>Job Brief:</b><br>
As a Data Scientist, you will help transform large volumes of real-time mobility and transactional data into insights that drive operational efficiency across our ride-hailing platform. You&rsquo;ll work alongside experienced data scientists and engineers to build, test, and deploy data-driven solutions that improve rider and driver experiences.<br>
<br>
<b>Responsibilities:</b></p><ul>
<li>
Explore, clean, and analyze high-volume datasets.</li>
<li>Develop predictive models</li>
<li>Build dashboards and automated reports to track marketplace health</li>
<li>Work with product and operations teams to define data requirements and design A/B experiments.</li>
<li>Implement and monitor machine learning models in production with guidance from senior team members.</li>
<li>Document methodologies, code, and analysis for reproducibility and knowledgesharing.</li>
</ul><p><b>
Requirements</b></p><ul>
<li>
Bachelor&rsquo;s degree in Computer Science, Statistics, Mathematics, or a related field.</li>
<li>At least 2 years of relevant experience.</li>
<li>Strong Python (pandas, numpy, scikit-learn etc).</li>
<li>Solid understanding of statistics, probability, and hypothesis testing.</li>
<li>Familiarity with SQL and relational databases.</li>
<li>Exposure to machine learning concepts and practical modeling projects.</li>
<li>Excellent problem-solving and communication skills.</li>
</ul><p><b>
Nice to Have</b></p><ul>
<li>
Experience with cloud platforms (AWS/GCP/Azure/Snowflake) and data pipelines (Airflow, Spark).</li>
<li>Knowledge of geospatial analysis or real-time data streaming.</li>
</ul><p><b>
Benefits</b></p><p><b>
What we offer:</b></p><ul>
<li>
<b>Market Competitive Salary</b><br>
Hit the ground running with a salary that reflects your worth in today&rsquo;s market.</li>
<li><b>Learn &amp; Grow</b><br>
Level up with real-world projects, cross-functional job rotations, hands-on mentorship, and expert-led sessions tailored to your growth.</li>
<li><b>International Exposure</b><br>
Collaborate across borders with teams in KSA, Jordan, Pakistan, and UAE&mdash;experience a global career from day one.</li>
<li><b>Health Insurance</b><br>
Full health coverage so you can focus on your goals with peace of mind.</li>
<li><b>OPD Coverage</b><br>
Outpatient visits? We&rsquo;ve got that covered for you.</li>
<li><b>End of Service Benefit</b><br>
Loyalty pays off, long-term service comes with financial rewards.</li>
<li><b>Dollar Adjustment Allowance</b><br>
With our dollar adjustment allowance, you can stay ahead of inflation. You&rsquo;re protected against currency fluctuations, so your compensation stays consistent and fair.</li>
<li><b>Internet Allowance</b><br>
Work, stream, and stay in the loop with monthly internet support, whether you&rsquo;re learning, working, or just vibing.</li>
<li><b>Fuel Allowance</b><br>
Fuel your daily grind with a monthly fuel allowance.</li>
<li><b>Learning &amp; Development Allowance</b><br>
Get a yearly budget for certifications, courses, or training&mdash;because investing in you is a no-brainer.</li></ul><p><br>
<b>
Company Culture</b><br>
Jeeny is an equal opportunity employer. We are committed to providing a workplace where all aspects of employment are solely based on merit. We value diversity and absolutely do not discriminate in any form based on race, color, ethnicity, nationality, religion, gender, age, or mental or physical disability.</p></div>

Data Scientist

<div>
 <strong>
  About Jeeny:
  <br/>
  <br/>
 </strong>
 Jeeny is a mobile application that eases daily commuting and transportation. By connecting you with your preferred mode of transportation, we are fulfilling our aim of making mobility accessible, affordable, and flexible for all.
 <br/>
 <br/>
 We are a joint venture between MEIG (Middle East Internet Group), Rocket Internet, and IMENA. Jeeny was established in 2014 as Easy Taxi. However, in 2016, it was revamped as Jeeny to cater to other services. Currently, we are operational in Saudi Arabia and Jordan.
 <br/>
 <br/>
 We have offices in Riyadh, Jeddah, Madinah, Dammam, Khobar, Amman, Lahore, and Karachi.
 <br/>
 <br/>
 <strong>
  Job Brief:
  <br/>
  <br/>
 </strong>
 As a Data Scientist, you will help transform large volumes of real-time mobility and transactional data into insights that drive operational efficiency across our ride-hailing platform. You'll work alongside experienced data scientists and engineers to build, test, and deploy data-driven solutions that improve rider and driver experiences.
 <br/>
 <br/>
 <strong>
  Responsibilities:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Explore, clean, and analyze high-volume datasets
  </li>
  <li>
   Develop predictive models
  </li>
  <li>
   Build dashboards and automated reports to track marketplace health
  </li>
  <li>
   Work with product and operations teams to define data requirements and design A/B experiments
  </li>
  <li>
   Implement and monitor machine learning models in production with guidance from senior team members
  </li>
  <li>
   Document methodologies, code, and analysis for reproducibility and knowledgesharing
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Requirements
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Bachelor's degree in Computer Science, Statistics, Mathematics, or a related field
  </li>
  <li>
   At least 2 years of relevant experience
  </li>
  <li>
   Strong Python (pandas, numpy, scikit-learn etc)
  </li>
  <li>
   Solid understanding of statistics, probability, and hypothesis testing
  </li>
  <li>
   Familiarity with SQL and relational databases
  </li>
  <li>
   Exposure to machine learning concepts and practical modeling projects
  </li>
  <li>
   Excellent problem-solving and communication skills
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Nice to Have
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Experience with cloud platforms (AWS/GCP/Azure/Snowflake) and data pipelines (Airflow, Spark)
  </li>
  <li>
   Knowledge of geospatial analysis or real-time data streaming
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Benefits
  <br/>
  <br/>
 </strong>
 <strong>
  What we offer:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Market Competitive Salary 💰 Hit the ground running with a salary that reflects your worth in today's market
  </li>
  <li>
   Learn &amp; Grow 📚 Level up with real-world projects, cross-functional job rotations, hands-on mentorship, and expert-led sessions tailored to your growth
  </li>
  <li>
   International Exposure 🌍 Collaborate across borders with teams in KSA, Jordan, Pakistan, and UAE&mdash;experience a global career from day one
  </li>
  <li>
   Health Insurance 🏥 Full health coverage so you can focus on your goals with peace of mind
  </li>
  <li>
   OPD Coverage 🏥 Outpatient visits? We've got that covered for you
  </li>
  <li>
   End of Service Benefit 💼 Loyalty pays off, long-term service comes with financial rewards
  </li>
  <li>
   Dollar Adjustment Allowance 💲 With our dollar adjustment allowance, you can stay ahead of inflation. You're protected against currency fluctuations, so your compensation stays consistent and fair
  </li>
  <li>
   Internet Allowance 🌐 Work, stream, and stay in the loop with monthly internet support, whether you're learning, working, or just vibing
  </li>
  <li>
   Fuel Allowance ⛽ Fuel your daily grind with a monthly fuel allowance
  </li>
  <li>
   Learning &amp; Development Allowance 🎓 Get a yearly budget for certifications, courses, or training&mdash;because investing in you is a no-brainer
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Company Culture
  <br/>
  <br/>
 </strong>
 Jeeny is an equal opportunity employer. We are committed to providing a workplace where all aspects of employment are solely based on merit. We value diversity and absolutely do not discriminate in any form based on race, color, ethnicity, nationality, religion, gender, age, or mental or physical disability.
</div>


Soft Nation Technologies

<p>Soft Nation Technologies is looking for Data Scientist to join the team</p><p>Location: Gulshan-e-Iqbal, Karachi<br/>Timings: 11am-8pm or 12pm-9:00pm</p><p><b>Key Responsibilities</b>:</p><ul><li>Collect, clean, and analyze structured and unstructured data.</li><li>Develop and maintain AI and ML models, including generative AI.</li><li>Perform ETL processes and automate data workflows.</li><li>Conduct web scraping and data extraction from diverse sources.</li><li>Build analytical reports and visualization dashboards.</li><li>Manage databases and ensure data accuracy.</li><li>Document models, results, and data processes.</li></ul><p><b>Required Skills:</b></p><ul><li>Proficient in Python, SQL, Pandas, NumPy.</li><li>Strong understanding of machine learning and data preprocessing.</li><li>Familiar with TensorFlow, PyTorch, or Scikit-learn.</li><li>Experience in data visualization tools.</li><li>Knowledge of database systems and ETL pipelines.</li><li>Skills in web scraping and reverse engineering data workflows.</li><li>Strong analytical and problem-solving abilities.</li></ul><p><b>Preferred Skills:</b></p><ul><li>Exposure to Generative AI tools (OpenAI, Hugging Face, LangChain).</li><li>Understanding of prompt engineering and model evaluation.</li></ul><p>Job Type: Full-time</p><p>Application Question(s):</p><ul><li>Can you join immediately?</li></ul><p>Experience:</p><ul><li>Data Scientist : 1 year (Required)</li></ul><p>Work Location: In person</p>

RTW Creation

<p>RTW Creation, a Hand Bags Manufacturer and E-commerce store based in Karachi, is looking for a talented &amp; motivated Data Scientist. As a Data Scientist, you will play a crucial role in analyzing and interpreting data to provide valuable insights and support data-driven decision-making across our business. You will work closely with cross-functional teams to identify trends, patterns, and opportunities for improvement.</p><p><b>Roles and Responsibilities:</b></p><ul><li>Collect, clean, and preprocess data from various sources to create usable datasets.</li><li>Apply statistical analysis and machine learning algorithms to build predictive and prescriptive models.</li><li>Conduct data exploration and visualization to identify trends and patterns in the data.</li><li>Collaborate with business stakeholders to understand their requirements and translate them into data-driven solutions.</li><li>Develop and deploy machine learning models into production environments.</li><li>Monitor and evaluate the performance of data models and make necessary improvements.</li><li>Provide actionable insights and recommendations to improve business processes and customer experiences.</li><li>Work on data-driven projects related to sales forecasting, customer segmentation, and product recommendation.</li><li>Stay up-to-date with the latest advancements in data science and machine learning technologies.</li><li>Continuously improve data quality, data integrity, and data security practices.</li></ul><p><b>Required Qualifications:</b></p><ul><li>Bachelor's degree in Computer Science, Data Science, Statistics, or a related field.</li><li>3+ years of professional experience in a data science role or a similar position.</li><li>Proven track record of applying data science techniques to solve real-world problems.</li><li>Strong analytical and mathematical skills.</li><li>Experience with data extraction, transformation, and loading (ETL) processes.</li><li>Strong proficiency in programming languages such as Python and/or R and/or SQL.</li><li>Strong problem-solving skills and a data-driven mindset.</li><li>Familiarity with data visualization tools and libraries.</li><li>Ability to work with cross-functional teams and communicate technical concepts effectively.</li></ul><p>Job Type: Full-time</p><p>Pay: Rs100,000.00 - Rs120,000.00 per month</p><p>Ability to commute/relocate:</p><ul><li>Karachi: Reliably commute or planning to relocate before starting work (Required)</li></ul><p>Work Location: In person</p>

Senior Data Analyst

Careem

<div>
 <strong>
  About the Company
  <br/>
  <br/>
 </strong>
 Careem is building the Everything App for the greater Middle East &mdash; making it easy to move around, order food and groceries, manage payments, and more. Our purpose is simple: to simplify and improve people&rsquo;s lives and build an awesome organisation that inspires.
 <br/>
 <br/>
 Since 2012, Careem has enabled earnings for over 2.5 million Captains, simplified the lives of more than 70 million customers, and built a platform where the region&rsquo;s best talent and entrepreneurs thrive. We operate in 70+ cities across 10 countries, from Morocco to Pakistan.
 <br/>
 <br/>
 <strong>
  <em>
   We&rsquo;re now entering our next chapter &mdash; one powered by AI. We&rsquo;re looking for AI talent: curious problem-solvers who know how to apply AI to build tools, automate workflows, and create real impact. Whether it&rsquo;s streamlining operations, enhancing customer experience, or reimagining internal systems &mdash; we want people who can make Careem work smarter and move faster.
   <br/>
   <br/>
  </em>
 </strong>
 <strong>
  Why this role matters at Careem
  <br/>
  <br/>
 </strong>
 Careem exists to simplify and improve the lives of people in our region. AI is a key driver of that mission. Whether it&rsquo;s predicting demand, optimizing captain incentives, improving delivery ETA accuracy, or automating customer care, you&rsquo;ll be helping to build real systems that impact millions of people across the Middle East, North Africa, and Pakistan.
 <br/>
 <br/>
 This is a hands-on role where you&rsquo;ll ship models into production, experiment fast, and learn alongside a talented team that&rsquo;s driving meaningful change.
 <br/>
 <br/>
 <strong>
  What You&rsquo;ll Do
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Build, train, and evaluate machine learning models for key services like ride-hailing, food delivery, and payments
  </li>
  <li>
   Work with real-world data and translate it into features, signals, and insights
  </li>
  <li>
   Collaborate with operations, engineers, product managers, and analysts to tackle challenges like OCR based partner onboarding, dynamic pricing, route optimization, churn prediction, and fraud detection
  </li>
  <li>
   Run experiments, track model performance, and help roll out models into live systems
  </li>
  <li>
   Improve the way we serve and monitor machine learning models
  </li>
  <li>
   Contribute to a strong team culture of learning, iteration, and accountability
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Must-haves
  <br/>
  <br/>
 </strong>
 <strong>
  What you&rsquo;ll need
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Bachelor&rsquo;s or Master&rsquo;s in Computer Science, Data Science, Statistics, or a related technical field
  </li>
  <li>
   Up to 3 years experience working with machine learning in any form: internships, research, personal projects, Kaggle competitions, or a previous job
  </li>
  <li>
   Solid Python skills, especially with libraries like pandas, NumPy, and scikit-learn
  </li>
  <li>
   A strong grasp of ML fundamentals like classification, regression, cross-validation, and evaluation metrics
  </li>
  <li>
   Familiarity with at least one ML framework such as TensorFlow, PyTorch, or XGBoost
  </li>
  <li>
   Clear communication, curiosity, and the ability to work well in a team
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Nice-to-haves
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Exposure to deep learning techniques in NLP, vision, or recommender systems
  </li>
  <li>
   Experience working with large datasets using Spark, Hive, or cloud tools
  </li>
  <li>
   Familiarity with model deployment and monitoring workflows (Airflow, MLflow, etc.)
  </li>
  <li>
   Interest in solving real operational challenges like logistics, fraud detection, or customer retention
  </li>
  <li>
   A GitHub profile or project portfolio that shows what you&rsquo;ve built
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  What You&rsquo;ll Get
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   A chance to work on AI problems at regional scale that improve lives and drive real business outcomes
  </li>
  <li>
   A smart, motivated team that values learning and practical impact
  </li>
  <li>
   Flexibility to work remotely, with strong support for collaboration and ownership
  </li>
  <li>
   A front-row seat to how AI is transforming mobility, delivery, and digital services in emerging markets
  </li>
 </ul>
</div>


Analytics & Automation Manager

Explore 435+ Machine learning engineer in Karachi this November. Find roles across top companies and apply now to boost your career.

435 machine learning engineer jobs IN Karachi

AI Engineer

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Data Scientist

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Senior Data Analyst

Analytics & Automation Manager