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ai automation engineer (entry-level) Jobs in Karachi

ai automation engineer (entry-level)

ai/ml engineer

machine learning engineer

Hope Global School

<div><h3 class="jobSectionHeader">Job Description</h3>
<div>Cloud / ML Developers are responsible for designing, developing, and deploying machine learning models on cloud platforms. They integrate AI-driven solutions into scalable architectures using tools like AWS, Azure, or Google Cloud. The role involves optimizing performance, managing data pipelines, and ensuring secure, efficient, and automated ML workflows. Developers collaborate with data scientists, engineers, and business teams to deliver intelligent cloud-based applications and predictive analytics solutions.</div>
<h3 class="jobSectionHeader">Key Responsibilities</h3>
<ul><li>Design and deploy scalable ML models on cloud platforms.</li>
<li>Develop end-to-end data pipelines for machine learning applications.</li>
<li>Optimize model training, testing, and inference for cloud efficiency.</li>
<li>Collaborate with data scientists to integrate AI-driven solutions.</li>
<li>Implement MLOps practices ensuring continuous integration and deployment automation.</li>
<li>Ensure cloud security, compliance, and optimal resource utilization strategies.</li>
<li>Monitor model performance and perform regular updates and retraining.</li>
<li>Document processes, workflows, and architecture for knowledge sharing purposes.</li>
</ul><h3 class="jobSectionHeader">Skill &amp; Experience</h3>
<ul><li>Proficiency in Python, TensorFlow, PyTorch, and related ML frameworks.</li>
<li>Strong experience with AWS, Azure, or Google Cloud platforms.</li>
<li>Knowledge of Kubernetes, Docker, and containerized deployment practices.</li>
<li>Understanding of MLOps tools like MLflow and Kubeflow pipelines.</li>
<li>Strong data engineering, API integration, and automation capabilities.</li>
<li>Excellent analytical, problem-solving, and collaborative development skills.</li>
</ul>
Note: Salary is disbursed in the local currency of the country of employment.</div>
 <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>1640000 - 2774000 / year</div>
</div></li><div></div><li><div><div>Expiration date</div>
<div>March 16, 2026
</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>

Cloud / ML Developers

Pivotize Consulting

Job Overview We aare in search of an experienced AI Engineer who will work as part of a diverse team of software engineers, data scientists, and machine learning (ML) experts to develop new models and algorithms to apply artificial intelligence to solve real-world problems and change the future.In this role, your curiosity and deep interest in AI, machine learning, and keeping pace with a rapidly evolving field will guide your path. You will delve into extensive data sets, identify patterns, and craft predictive algorithmic models, contributing to innovative projects.Responsibilities: . Design and develop cutting-edge AI solutions and systems that integrate with our products and services. . Implementing AI solutions using programming languages such as Python, R, Java, or C++, along with relevant frameworks and libraries like TensorFlow, PyTorch, or scikit-learn. . Collecting, preprocessing, and analyzing large volumes of data to train AI models. This may involve data cleaning, feature engineering, and exploratory data analysis. . Deploying AI models into production environments and integrating them with existing systems and applications. This may involve containerization, microservices architecture, and cloud computing platforms. . Conduct thorough testing and evaluation of AI systems to ensure they meet performance, reliability, and security standards. . Conduct research and experiments to improve the performance of AI systems. . Monitor the performance of AI systems and make recommendations for improvements. . Stay up-to-date with advancements in AI technologies and make recommendations for future development.Requirements: . Degree in Computer science, Information technology, or a related field. 4+ years of experience with strong programming skills in Python, R, MATLAB, or other relevant programming languages. . Deep understanding of data science, linear algebra, algorithms, and statistics. . Experience working with large data sets and writing efficient code capable of processing large data streams at speed . Familiarity with deep learning and machine learning algorithms and the use of popular AI/ML framework. . Excellent communication skills.Job Type: Full-timePay: From Rs250,000.00 per monthApplication Question(s):<ul><li>What is your current salary?</li><li>What is your expected salary?</li><li>What is your notice period?</li><li>Are you able to commute to Bahria Complex 1, Lalazar, M.T. Khan Road for onsite interview &amp; job? It's mandatory to be available on-site. No Freelance or Remote reource/online interviews &amp;assessment.</li></ul>Work Location: In person

Sr. Artificial Intelligence (AI) Engineer

Invision Custom Solutions

Job Title: Python Developer (AI/ML)Experience: 3&ndash;4 YearsLocation: Shahrah-e-FaisalEmployment Type: Full-TimeTimings: 11:30 AM- 08:30 PM.About the Role:We are seeking a highly motivated Python Developer with hands-on AI/ML experience to join our technical team. The ideal candidate should be proficient in developing intelligent applications, working with machine learning models, and implementing data-driven solutions using PythonKey Responsibilities:<ul><li>Develop and maintain AI-driven applications and automation systems using Python.</li><li>Build, train, evaluate, and deploy machine learning models for real-world use cases.</li><li>Implement data preprocessing, feature engineering, and model optimization techniques.</li><li>Develop RESTful APIs to serve machine learning model outputs.</li><li>Integrate AI solutions into existing applications and backend systems.</li><li>Conduct research on recent ML algorithms, NLP, and deep learning techniques.</li><li>Collaborate with software engineers, data scientists, and product teams to define requirements and deliver solutions.</li><li>Prepare technical documentation, reports, and model performance dashboards.</li><li>Continuously improve system accuracy, performance, and scalability.</li></ul>Required Skills &amp; Qualifications:<ul><li>Bachelor&rsquo;s degree in Computer Science, Artificial Intelligence, Data Science, or relevant field.</li><li>3&ndash;4 years of professional experience in Python development.</li><li>Strong experience with machine learning frameworks such as:</li><li>TensorFlow, PyTorch, Scikit-learn, Keras</li><li>Hands-on experience with data manipulation and analysis using: Pandas, NumPy</li><li>Knowledge of AI concepts, including:</li><li>Supervised &amp; unsupervised learning</li><li>NLP (Natural Language Processing)</li><li>Computer vision (preferred)</li><li>Experience with model deployment using REST APIs, Docker, or cloud platforms (AWS, GCP, Azure).</li><li>Familiarity with database technologies (SQL and NoSQL).</li><li>Solid understanding of version control (Git) and software development lifecycle.</li></ul>Nice to Have (Added Advantage):<ul><li>Experience working with LLMs (Large Language Models)</li><li>Exposure to GenAI, RAG, or Chatbot development</li><li>Knowledge of MLOps tools (Kubeflow, MLflow, DVC)</li><li>Familiarity with data pipelines and ETL processes</li><li>Experience with FastAPI or Flask</li></ul>Job Type: Full-timeAbility to commute/relocate:<ul><li>Karachi Shahra-E-Faisal: Reliably commute or planning to relocate before starting work (Preferred)</li></ul>Application Question(s):<ul><li>Do you have experience in developing AI- driven Applications and automation systems using Python?</li><li>What's your expected salary?</li><li>What's your Notice period?</li></ul>Education:<ul><li>Bachelor's (Preferred)</li></ul>Experience:<ul><li>Python : 3 years (Required)</li></ul>Work Location: In person

Python Developer (AI/ML)

TechBiz Global GmbH

<div>At TechBiz Global, we are providing recruitment service to our TOP clients from our portfolio. We are currently seeking a Data Scientist to join one of our clients' teams. If you're looking for an exciting opportunity to grow in a innovative environment, this could be the perfect fit for you.
Role Summary:
The Data Scientist will develop ML models to predict customer behavior, price sensitivity, and offer conversion probability. They will build and maintain elasticity models, segmentation models, and reinforcement learning frameworks to enable personalized pricing and offer recommendations.
Key Responsibilities:<ul><li>
Build and deploy models for:
Price Elasticity / Conversion Prediction
Churn Propensity / Retention Uplift
Segment Discovery &amp; Similarity (Clustering, KNN)
Offer Recommendation / Ranking (Scoring Models)
</li></ul><ul><li>Design A/B testing and uplift modeling to evaluate campaign performance.
</li><li>Develop simulation engines for pricing what-if analysis and scenario testing.
</li><li>Create automated pipelines for model training, scoring, and retraining.
</li><li>Work closely with Data Engineers to ensure feature store alignment.
</li><li>Collaborate with the Business Decisioning team to translate insights into rules and thresholds.
</li><li>Implement feedback loops using real-time events (purchase, rejection, expiry) to improve models.</li></ul> 
Required Skills:<ul><li>
Experience Level: 5&ndash;8 years in Applied Machine Learning, Statistical Modeling, and Data Science for large-scale systems</li></ul><ul><li>
Strong foundation in Machine Learning, Statistics, and Econometrics.
</li><li>Proficient in Python (pandas, scikit-learn, numpy, statsmodels, xgboost, lightGBM).
</li><li>Experience with model lifecycle management (MLOps).
</li><li>Solid understanding of telecom KPIs: ARPU, recharge frequency, wallet size, churn rate, etc.
</li><li>Ability to design feature engineering pipelines and perform A/B testing.
</li><li>Expertise in data visualization and storytelling for non-technical stakeholders</li></ul>
Preferred (Nice-to-Have):<ul><li>
Experience with Telecom Offer &amp; Recharge Modeling or Dynamic Pricing Systems.
</li><li>Knowledge of Pricefx PriceAI, Adobe Target Recommendations, or Reinforcement Learning frameworks.
</li><li>Understanding of Elasticity Curves, Customer Lifetime Value (CLV), and Offer Fatigue Modeling.
</li><li>Experience integrating ML outputs into business decision engines or rule systems.</li></ul></div>

Data Scientist – Dynamic Pricing & Offer Optimization

Careem

<div>
 
 About the Company
 
 
 
 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.
 
 
 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.
 
 
 
 
 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.
 
 
 
 
 
 Why this role matters at Careem
 
 
 
 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.
 
 
 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.
 
 
 
 What You&rsquo;ll Do
 
 
 
 <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
 
 
 </li>
 </ul>
 
 Must-haves
 
 
 
 
 What you&rsquo;ll need
 
 
 
 <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
 
 
 </li>
 </ul>
 
 Nice-to-haves
 
 
 
 <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
 
 
 </li>
 </ul>
 
 What You&rsquo;ll Get
 
 
 
 <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

Afiniti

<div>
 
 
 Who Are We?
 
 
 
 Over the past 16 years, Afiniti's patented technology has paired customers and contact centre agents in real-time based on how well they are likely to interact, leading to better experiences across the entire customer journey. As our products evolve, it is our mission to retain and grow revenue by creating repeatable AI-driven solutions that transition from high-touch managed services to product-led growth.
 
 
 Afiniti operates throughout the world and has driven billions of dollars of precisely measurable AI value for our telecommunications, banking, insurance, healthcare, and travel customers. To learn more, visit www.afiniti.com.
 
 
 
 
 
 
 Our Vision
 
 
 
 Afiniti&rsquo;s vision is to lead the contact centre industry by delivering innovative AI solutions that uniquely enhance customer lifetime value and operational efficiency, earning us the trust of leading consumer companies worldwide.
 
 
 
 
 
 
 Our Ways of Working
 
 
 
 At Afiniti, how we work is just as important as what we achieve. Our
 
 Ways of Working
 
 are ten guiding principles that define the standards and behaviors we hold ourselves accountable to every day. They push us to act with urgency and discipline, to innovate with data and facts, and to always see our work through the eyes of our clients. These principles are not abstract values - they are actionable commitments that shape daily decisions, strengthen collaboration, and ensure we deliver outcomes that matter.
 
 
 Together, they encourage us to be intentional in how we prioritize and execute, to confront challenges and conversations directly, and to embrace the richness of our global community with respect and openness. They remind us to celebrate excellence, show kindness, and assume good intentions in every interaction. By living these principles consistently, we build the culture we aspire to - one that is ambitious, respectful, and relentlessly focused on creating meaningful impact for our clients and each other.
 
 
 
 
 
 
 The Role
 
 
 
 
 Data Scientist II
 
 
 
 
 Reporting to:
 
 Director &ndash; Data Science
 
 
 
 
 
 
 Location
 
 
 
 Pakistan
 
 
 
 Work Environment:
 
 Hybrid
 
 
 
 
 
 
 About The Role
 
 
 
 Afiniti is looking for a
 
 Data Scientist II
 
 who combines analytical precision, problem-solving skills, and a passion for uncovering insights through data. Reporting to the Manager, Data Science, you will play a critical role in designing, developing, and optimizing Afiniti&rsquo;s AI-driven pairing and recommendation models that power human interactions at scale.
 
 
 As part of the Data Science team, you will apply statistical inference, predictive modeling, and machine learning techniques to large-scale datasets across diverse industries including telecommunications, healthcare, banking, and travel. You will work collaboratively with analytics, product, and engineering teams to translate theoretical concepts into deployable, measurable business impact. This position offers an exciting opportunity to work in a global, fast-paced environment with exposure to cutting-edge AI and data solutions.
 
 
 
 
 
 
 What Will be Your Key Deliverables
 
 
 <ul>
 <li>
 Perform statistical inference and advanced analysis on large datasets to identify key drivers and inform decision-making.
 </li>
 <li>
 Build, test, and refine predictive models and algorithms that optimize customer-agent pairing and next-best-action recommendations.
 </li>
 <li>
 Conduct performance analyses using real-time control groups to measure the impact of Afiniti&rsquo;s AI deployments.
 </li>
 <li>
 Translate abstract or ambiguous problems into tractable, data-driven solutions.
 </li>
 <li>
 Collaborate with cross-functional teams (analytics, product, and engineering) to operationalize models and insights.
 </li>
 <li>
 Communicate findings clearly and effectively to both technical and non-technical audiences.
 </li>
 <li>
 Lead or support production activities for deployed AI models, ensuring performance monitoring and reliability.
 </li>
 </ul>
 
 
 
 
 
 Who You Are
 
 
 
 
 Experience:
 
 2&ndash;3 years of experience in data science, machine learning, or applied statistics, ideally within technology-driven or large-scale analytical environments.
 
 
 
 
 
 
 Education:
 
 Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Mathematics, Economics, Physics, Engineering, or a related quantitative discipline.
 
 
 
 
 
 
 Skills:
 
 
 <ul>
 <li>
 Strong command of Python, R, or Julia for data analysis and modeling.
 </li>
 <li>
 Proficiency in SQL and experience with relational databases.
 </li>
 <li>
 Solid foundation in statistics, machine learning, and mathematical optimization.
 </li>
 <li>
 Hands-on experience working with large datasets, data visualization, and analytical reporting.
 </li>
 <li>
 Familiarity with tools like Git, Jupyter, or R Markdown for reproducible research and collaboration.
 </li>
 <li>
 Strong attention to detail, with the ability to manage projects independently and deliver high-quality work under deadlines.
 </li>
 <li>
 Excellent communication and collaboration skills in a cross-functional setting.
 </li>
 </ul>
 
 
 
 
 
 Behavioral Traits:
 
 Analytical, curious, collaborative, and able to thrive in a dynamic, research-oriented environment.
 
 
 
 
 
 
 Nice to have
 
 
 <ul>
 <li>
 Proficiency in Bayesian statistics, hierarchical modeling, MCMC algorithms, or latent factor models.
 </li>
 <li>
 Familiarity with Airflow or similar workflow orchestration tools.
 </li>
 <li>
 Experience with cloud-based data processing or distributed computing frameworks.
 </li>
 <li>
 Exposure to production-level machine learning deployment and monitoring.
 </li>
 </ul>
 
 
 
 
 
 What success looks like
 
 
 
 In this role, you will be successful if you:
 
 <ul>
 <li>
 Deliver robust, interpretable models that improve measurable business outcomes for clients.
 </li>
 <li>
 Demonstrate initiative in translating theoretical models into scalable, production-ready solutions.
 </li>
 <li>
 Collaborate seamlessly with analytics, engineering, and product teams to integrate insights into Afiniti&rsquo;s systems.
 </li>
 <li>
 Uphold high standards of analytical accuracy, reproducibility, and documentation.
 </li>
 </ul>
 
 
 
 
 
 Why should you apply
 
 
 <ul>
 <li>
 Opportunity to work at the forefront of applied AI, using advanced data science techniques to solve real-world business problems.
 </li>
 <li>
 Exposure to large-scale, high-impact projects across industries and regions.
 </li>
 <li>
 Professional growth through collaboration with world-class data scientists and ongoing learning opportunities.
 </li>
 <li>
 Work within a hybrid model that allows flexibility while maintaining collaboration with a global team.
 </li>
 </ul>
 
 
 
 
 
 What will make you stand out in the crowd
 
 
 
 You are someone who thrives on solving complex analytical challenges and bringing structure to ambiguity. You balance statistical rigor with practical problem-solving and communicate insights with clarity. Your curiosity, ownership, and collaborative spirit make you an integral part of Afiniti&rsquo;s mission to make human connections more valuable through AI.
 
 
 
 
 
 
 
 
 
 We believe that richness in diversity is a huge asset for Afiniti. We value both the similarities and differences in everyone who is a part of the Afiniti team. We believe that this diversity builds a stronger organization and is in keeping with the core values of our company. Our policy, therefore, is to provide equal employment opportunities for all applicants and employees without regard to race, color, religion, sex (including pregnancy, childbirth, related medical conditions, breastfeeding or reproductive health decisions), gender identity or expression, national origin, age, marital status, ancestry, physical or mental disability, sexual orientation, personal appearance, genetic information, family responsibilities, matriculation, political affiliation, military or veteran status, or any other category protected under applicable federal, state or local law. This means that we comply with all applicable human rights and employment legislation, and we do not discriminate in any aspect of employment, including recruiting, hiring, compensation, promotions, reductions in force, or terminations.
 
 
</div>

Data Scientist II

Ortak Consultants

HIRING: AI DEVELOPEROrtak Consultants (Pvt.) Limited is seeking an AI Developer to build automation and intelligent solutions for HR and business operations.Job Type: Full-time - OnsiteLocation: KarachiKey Responsibilities:- Develop and deploy AI models, chatbots, and automation systems.- Implement integrations between AI tools and business workflows.- Experiment with APIs, machine learning models, and process optimizations.- Collaborate with teams to design practical AI-driven HR and recruitment solutions.Requirements:- Must have a degree in computer science or related field.- 1-2 years of related experience- Proficiency in Python and AI/ML frameworks (e.g. OpenAI).- Experience in building chatbots, automation, or data-driven systems.- Strong problem-solving, analytical, and debugging skills.- Ability to work independently and deliver creative solutions.Apply now by sending your CV to careers@ortakconsultants.com with &ldquo;AI Developer&rdquo; in the subject line.Job Type: Full-timePay: From Rs70,000.00 per monthAbility to commute/relocate:<ul><li>Karachi: Reliably commute or planning to relocate before starting work (Preferred)</li></ul>Work Location: In person

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