144 AI Ml jobs in Pakistan

Overview
Enterprise64 is a U.S.-based technology company that creates digital solutions for startups to Fortune 500 companies in the United States, Europe, and the United Arab Emirates. We are growing rapidly across all our global offices and have career opportunities for tech professionals who are looking to work in a fast-growing company, work in a fun environment, looking to be challenged, grow, and fast-track their careers.

Job Description
Enterprise64 is looking for an experienced AI/ML Engineer to design, develop, and deploy scalable machine learning solutions. The role involves working with large datasets, building models using Python and frameworks like TensorFlow/PyTorch, and integrating AI into production systems. Experience with MLOps, cloud platforms (AWS/GCP/Azure), and modern AI techniques such as NLP, computer vision, or recommendation systems is highly desirable. This position offers the opportunity to work on cutting-edge AI projects while mentoring junior team members and driving best practices.

Key Responsibilities

• Design, develop, and implement machine learning models, from data preprocessing to production deployment.
• Collaborate with data engineers, software developers, and product managers to integrate AI/ML solutions into existing applications and workflows.
• Conduct data exploration, feature engineering, and model optimization to ensure scalable, high-performing solutions.
• Evaluate, fine-tune, and monitor ML models for accuracy, fairness, and performance.
• Work with large datasets (structured and unstructured), leveraging cloud platforms (AWS, GCP, Azure) and distributed systems when needed.
• Research and apply cutting-edge techniques in deep learning, NLP, computer vision, or recommendation systems (depending on company focus).
• Develop APIs, pipelines, and automation to ensure smooth deployment and scaling of AI models.
• Mentor junior team members and contribute to establishing best practices in AI/ML engineering.
  

Qualifications & Skills Required

• Degree in computer science, Data Science, AI/ML, or a related field.
• 3–7 years of hands-on experience (mid-level 3–5, senior 5–7+) in AI/ML development and deployment.
• Strong proficiency in Python and ML frameworks such as TensorFlow, PyTorch, Scikit-learn.
• Experience in data preprocessing, model development, hyperparameter tuning, and evaluation.
• Solid understanding of ML Ops, CI/CD pipelines, and model monitoring.
• Strong grasp of statistics, probability, linear algebra, and optimization techniques.
• Proficiency in using SQL/NoSQL databases and working with large-scale datasets.

Preferred / Nice-to-Have

• Experience with NLP (Transformers, LLMs), computer vision (OpenCV, YOLO, CNNs), or recommendation systems.
• Knowledge of cloud platforms (AWS SageMaker, GCP Vertex AI, or Azure ML).
• Familiarity with containerization (Docker, Kubernetes) for scalable deployments.
• Prior experience working with data engineering pipelines (Airflow, Spark, Kafka).
• Exposure to generative AI (LLMs, diffusion models, RAG, vector databases) is a strong plus.

Benefits

• Talent upskilling program.
• Provident fund.
• Health insurance.
• Eligible for US H-1 Visa.
• Project-based bonus.
• Leave encashment.
• EOBI
• Maternity leaves/ Paternal WFH
• Religious holidays
• Work from home facility.
• Referral bonus.
• Paid time off.
• Transportation service.
• Loan and advance salary.

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Positions: 4 Job Type: Full Time (On-Site) Location: Islamabad

We are seeking an innovative and experienced AI/ML Engineer to design, develop, and deploy AI/ML solutions that address real-world challenges. The role involves building and optimizing models, crafting effective prompts for LLMs, and integrating AI into production systems at scale.

Responsibilities:

• Design, develop, and deploy machine learning and deep learning models.
• Preprocess, clean, and organize large datasets for optimal model performance.
• Collaborate with data scientists and software engineers to integrate AI models into applications.
• Design, test, and refine prompts to optimize Large Language Model (LLM) outputs for accuracy, relevance, and efficiency.
• Optimize model performance, scalability, and resource utilization in production environments.
• Stay current with advancements in AI/ML and prompt engineering techniques.
• Develop APIs and services for model consumption.

Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
• Proven experience in machine learning and AI solution development.
• Proficiency in Python and frameworks/libraries such as TensorFlow, PyTorch, or scikit-learn.
• Hands-on experience with prompt engineering for LLMs (e.g., GPT, Claude, or similar).
• Strong understanding of statistics, data modeling, and deep learning concepts.
• Experience deploying models using Docker, Kubernetes, or Cloud ML services.

Nice to Have:

• ExExperience with natural language processing (NLP), computer vision, or reinforcement learning.
• Familiarity with MLOps practices and CI/CD pipelines for ML.
• Experience with cloud AI platforms, such as:
• AWS Bedrock, AWS SageMaker
• GCP AI Platform, Vertex AI Generative AI Studio
• Azure ML, Azure AI Studio

Compensation and Benefits:

• Market Competitive Salary
• Personal and Family Medical Insurance
• Personal Life Insurance
• Parental Medical Insurance
• Personal and Family OPD
• Weekly Meal
• EOBI
• Paid Technical Certifications

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About Burq

Burq started with an ambitious mission: how can we turn the complex process of offering delivery into a simple turnkey solution.

We started with building the largest network of delivery networks, partnering with some of the biggest delivery companies. We then made it extremely easy for businesses to plug into our network and start offering delivery to their customers. Now, we’re powering deliveries for some of the fastest-growing companies from retailers to startups.

It’s a big mission and now we want you to join us to make it even bigger!

We’re already backed by some of the Valley's leading venture capitalists, including Village Global, the fund whose investors include Bill Gates, Jeff Bezos, Mark Zuckerberg, Reid Hoffman, and Sara Blakely. We have assembled a world-class team all over the U.S.

We operate at scale, but we're still a small team relative to the opportunity. We have a staggering amount of work ahead. That means you have an unprecedented opportunity to grow while doing the most important work of your career.

We want people who are unafraid to be wrong and support decisions with numbers and narrative. Here’s a quick overview of what you will be doing:

AI ML Engineer

As an AI ML engineer at Burq, you will play a crucial role in designing, developing, and deploying machine learning models and data pipelines. The ideal candidate will take full ownership, from problem definition through to delivering production-grade solutions, requiring strong initiative and self-direction. You will work closely with data engineers, data scientists, and business stakeholders to build scalable solutions that drive impactful business decisions. Your expertise in various data and machine learning tools will be essential in managing our data infrastructure and delivering high-quality AI/ML projects.

Basic Qualifications (Required Skills/Experience)

• Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related field
• Proficiency in SQL and Python
• Experience with data integration tools like Airbyte
• Strong knowledge of data warehousing concepts and hands-on experience with Snowflake
• Experience with data transformation tools such as dbt
• Proficiency in using Databricks and Apache Spark for big data processing and machine learning
• Familiarity with Delta Lake for data lake management
• Experience with data visualization tools like Tableau
• Experience with relational databases like MySQL and PostgreSQL
• Strong analytical and problem-solving skills
• Excellent communication and teamwork abilities
• Ability to work in a fast-paced and dynamic environment

Preferred Qualifications:

• A strong individual contributor mindset, demonstrating high autonomy
• Knowledge of machine learning libraries and frameworks such as TensorFlow, PyTorch, or Scikit-Learn
• Experience with cloud platforms such as AWS, GCP, or Azure
• Relevant certifications in data engineering, machine learning, or cloud technologies

Responsibilities:

• Design, develop, and deploy machine learning models using Databricks and Apache Spark
• Implement data preprocessing, feature engineering, and model training pipelines
• Utilize dbt (data build tool) to transform and model data in Snowflake to prepare datasets for machine learning
• Use SQL and Python to analyze large datasets, derive meaningful insights, and build training datasets
• Conduct exploratory data analysis to identify trends, patterns, and anomalies
• Develop and maintain ETL pipelines using Airbyte to ingest data from various sources into Snowflake
• Manage and optimize data storage and retrieval using Delta Lake on Databricks to ensure efficient access for ML models
• Create and maintain interactive dashboards and visualizations in Tableau to communicate model results and insights to stakeholders
• Collaborate with data scientists to refine and improve machine learning models
• Monitor and evaluate the performance of deployed models, ensuring they meet accuracy and performance standards
• Work with relational databases such as MySQL and PostgreSQL for data storage and management as needed
• Communicate complex technical concepts and results to non-technical stakeholders effectively

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We are seeking a highly skilled AI/ML Engineer to design, develop, and deploy innovative machine learning models and AI-driven solutions. This is an on-site role, offering an exciting opportunity for individuals passionate about artificial intelligence, data science, and building intelligent systems to solve real-world challenges.

Responsibilities:

• Design, develop, and optimize machine learning models and AI-driven solutions to address complex business challenges.
• Implement Retrieval-Augmented Generation (RAG) pipelines to enhance AI model capabilities, integrating vector databases and retrieval models .
• Develop and fine-tune large language models (LLMs) for NLP applications, leveraging transformers and embedding-based search .
• Utilize Hugging Face Transformers and Model Hub for fine-tuning and deploying state-of-the-art models.
• Collaborate with cross-functional teams to define project requirements and integrate AI/ML solutions into business workflows.
• Preprocess, clean, and analyze large-scale datasets while ensuring data privacy, security, and compliance (e.g., GDPR, HIPAA, SOC 2 ).
• Develop and deploy secure and scalable ML pipelines , leveraging MLOps best practices for continuous integration and deployment.
• Monitor, evaluate, and refine model performance using A/B testing, drift detection, explainability, and adversarial robustness techniques .
• Implement AI security best practices , including adversarial attack detection, model integrity verification, and bias mitigation .
• Stay updated with LLMs, generative AI, retrieval-based AI trends , and secure AI development methodologies.
• Deploy and manage AI/ML models on cloud platforms such as AWS, Azure, or GCP, ensuring compliance with secure AI governance frameworks .
• Work with vector databases (e.g., FAISS, Pinecone, Weaviate, ChromaDB ) and retrieval frameworks (e.g., LangChain, LlamaIndex ).
• Build and optimize secure APIs , ensuring protection against data leaks, prompt injection attacks, and unauthorized access .
• Other duties as needed.

Requirements:

• 2+ years of experience in AI/ML model development and deployment.
• Bachelor’s or Master’s degree in Computer Science, Data Science, Machine Learning, Artificial Intelligence, or a related field.
• Strong programming skills in Python (preferred), R*, or Java*.
• Hands-on experience with ML frameworks like TensorFlow, PyTorch, or Keras.
• Expertise in natural language processing (NLP) , computer vision , deep learning , and LLMs .
• Proficiency in retrieval-augmented generation (RAG) , embedding models , and vector databases (FAISS, Pinecone, Weaviate, ChromaDB).
• Experience with cloud AI services (AWS SageMaker, Azure AI, Google AI Platform).
• Strong understanding of Hugging Face Transformers , Model Hub , and tokenizers for model fine-tuning and deployment.
• Familiarity with big data tools such as Hadoop, Spark, or Kafka (preferred).
• Strong understanding of adversarial ML attacks, model explainability, AI governance, and bias mitigation techniques .
• Knowledge of security best practices for AI, including prompt injection protection, data anonymization, and secure model deployment .
• Strong foundation in algorithms, data structures, and model evaluation techniques .
• Proven ability to deliver end-to-end AI/ML projects , from concept to production, with a focus on secure and responsible AI .
• Strong analytical and problem-solving skills with attention to detail.
• Excellent communication skills to collaborate with teams and present findings.
• Ability to work on-site and manage multiple projects effectively.

Perks and Benefits:

• Provident Fund and Medical Allowances
• Professional Training and Certifications
• Paid Time Off
• Semi-Annual Performance Bonus and Awards

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Location: Lahore
Job Type: Full-time
Experience: 5+ years

About Fusion Cortex:

Fusion Cortex is a cutting-edge IT company specializing in AI, Machine Learning, Computer Vision, IoT, and Sensory Programming. We are committed to pushing the boundaries of innovation by leveraging intelligent systems and data-driven solutions to solve complex industry challenges.

Job Overview:

We are looking for an experienced AI/ML Engineer to join our team and contribute to developing and deploying advanced AI/ML models for real-world applications. The ideal candidate should have expertise in deep learning, computer vision, natural language processing (NLP), and IoT-driven AI solutions. You will be responsible for designing, building, and optimizing AI/ML models while working closely with cross-functional teams to integrate them into production systems.

Key Responsibilities:

• Model Development & Optimization: Design, develop, and optimize machine learning models, including deep learning architectures, reinforcement learning, and traditional ML techniques.
• Computer Vision & NLP: Work on projects involving image recognition, object detection, facial recognition, speech processing, and NLP applications.
• IoT & Sensory Data Processing: Implement AI-driven solutions for IoT applications, analyzing sensory data from connected devices.
• Data Engineering & Preprocessing: Collect, clean, and preprocess structured and unstructured data for ML model training and validation.
• Deployment & Integration: Deploy ML models into production using MLOps tools, ensuring scalability, efficiency, and real-time performance.
• AI Model Monitoring & Maintenance: Continuously monitor model performance, retrain, and fine-tune models as needed.
• Collaboration: Work with software engineers, data scientists, and domain experts to integrate AI/ML solutions into end-user applications.
• Research & Innovation: Stay up-to-date with the latest AI/ML trends, technologies, and research papers to enhance Fusion Cortex’s AI capabilities.
• Documentation & Reporting: Maintain thorough documentation of models, experiments, and technical workflows.

Required Skills & Qualifications:

• Education: Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related field.
• Programming Languages: Strong proficiency in Python and experience with frameworks such as TensorFlow, PyTorch, Scikit-Learn, and OpenCV.
• Machine Learning & Deep Learning: Expertise in ML algorithms, neural networks (CNNs, RNNs, Transformers), and optimization techniques.
• Computer Vision & NLP: Hands-on experience with object detection, segmentation, OCR, and NLP libraries (NLTK, SpaCy, Hugging Face).
• Big Data & Databases: Familiarity with SQL, NoSQL, and distributed computing tools (Apache Spark, Hadoop).
• Cloud & DevOps: Experience with cloud platforms (AWS, Azure, GCP) and MLOps tools like Docker, Kubernetes, MLflow.
• IoT & Sensory Programming: Knowledge of AI applications in IoT, working with sensor data, edge AI, and embedded AI solutions.
• Mathematical & Statistical Foundations: Strong understanding of probability, linear algebra, optimization, and statistics.
• Problem-Solving & Analytical Thinking: Ability to analyze complex problems and design innovative AI solutions.
• Soft Skills: Strong communication skills, ability to work in a team, and a passion for AI innovation.

Preferred Skills (Nice to Have):

• Experience with Reinforcement Learning (RL) and Generative AI models (GANs, VAEs, LLMs).
• Knowledge of robotics and autonomous systems.
• Familiarity with cybersecurity in AI/ML applications.
• Contributions to open-source AI/ML projects.

What We Offer:

• Opportunity to work on cutting-edge AI/ML projects.
• Collaborative and innovative work environment.
• Flexible work schedule and remote work options.
• Competitive salary and performance-based bonuses.
• Professional development and learning opportunities.

How to Apply:

Interested candidates can apply by sending their resume and portfolio.

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Next eBiz is a forward-thinking technology company dedicated to delivering cutting-edge solutions in Artificial Intelligence and Machine Learning. As part of our expansion, we are urgently hiring an experiencedAI/ML Engineer to join our team in Islamabad.

Job Description:
We are seeking a skilled AI/ML Engineer with a minimum of 4 years of professional experience in AI/ML. The ideal candidate will have extensive expertise in developing, implementing, and optimizing AI/ML models, as well as hands-on experience with advanced techniques such asRetrieval Augmented Generation (RAG) ,LangChain , andOllama (running locally).

Key Responsibilities:

• Design, develop, and optimize AI/ML models to address diverse business needs.
• LeverageRAG andLangChain to build innovative AI-powered solutions.
• Work with tools and technologies, includingOllama for locally running AI models.
• Collaborate with cross-functional teams to identify challenges and implement AI-driven solutions.
• Stay updated on the latest advancements in AI/ML, integrating new trends and tools into ongoing projects.
• Ensure models are efficient, scalable, and production-ready.
• Deploy AI solutions seamlessly into existing systems and workflows.

Key Requirements:

• Minimum 4 years of experience in AI/ML development and deployment.
• Proficiency inPython ,TensorFlow ,PyTorch , and other relevant frameworks.
• Hands-on expertise withRAG ,LangChain , and locally running AI solutions likeOllama .
• Strong understanding of machine learning algorithms, data structures, and model evaluation techniques.
• Excellent problem-solving skills and a proven ability to optimize AI models for real-world applications.
• Exceptional communication skills, with the ability to explain complex technical concepts to non-technical stakeholders.
• A collaborative mindset with the ability to work in a fast-paced environment.

Additional Information:

• Location: This is a full-time, onsite position based inGulberg Greens, Islamabad .
• Commuting Requirement: Candidates from other cities must be willing to commute daily. Remote work is not an option for this role.
• Urgent Hiring: We aim to fill this position quickly; only experienced professionals will be considered.

How to Apply:
If you meet the requirements and are excited about this opportunity, please submit your updated resume along with a cover letter detailing your experience in AI/ML, particularly withRAG ,LangChain , andOllama .

We look forward to welcoming a talented AI/ML Engineer to our innovative team at Next eBiz!

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Join to apply for the

AI/ML Engineer

role at

AIOTAC . We are looking for a motivated and enthusiastic AI/ML Intern to join our team and work on cutting-edge projects. This is an excellent opportunity to apply your skills in machine learning, data science, and programming to solve real-world challenges. Key Responsibilities:

Design and improve machine learning models for specific projects. Clean and prepare data for analysis and model training. Explore and test new machine learning techniques to enhance model accuracy and efficiency. Assist in deploying and testing models in environments similar to production. Collaborate with software engineers to integrate models into existing systems. Stay updated on new AI and machine learning tools and trends. Maintain detailed records of processes, findings, models, and performance for future reference. Requirements:

A degree in Computer Science, Data Science, or a related field. Good understanding of machine learning algorithms such as regression, classification, and clustering. Proficient in Python and relevant libraries. Familiarity with cloud platforms like AWS, Google Cloud, or Azure. Knowledge of NLP or computer vision is a plus. Comfortable with version control systems, particularly Git. What We Offer:

A supportive environment with mentorship opportunities to grow your skills. Opportunities to work on impactful projects and contribute to innovative products. Access to learning resources and professional development. Additional Details:

Seniority level: Not Applicable Employment type: Internship Job function: Engineering and Information Technology Industries: IT System Custom Software Development This job is active and accepting applications.

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Overview Enterprise64 is a U.S.-based technology company that creates digital solutions for startups to Fortune 500 companies in the United States, Europe, and the United Arab Emirates. We are growing rapidly across all our global offices and have career opportunities for tech professionals who are looking to work in a fast-growing company, work in a fun environment, looking to be challenged, grow, and fast-track their careers.

Job Description Enterprise64 is looking for an experienced

AI/ML Engineer

to design, develop, and deploy scalable machine learning solutions. The role involves working with large datasets, building models using Python and frameworks like TensorFlow/PyTorch, and integrating AI into production systems. Experience with MLOps, cloud platforms (AWS/GCP/Azure), and modern AI techniques such as NLP, computer vision, or recommendation systems is highly desirable. This position offers the opportunity to work on cutting-edge AI projects while mentoring junior team members and driving best practices. Key Responsibilities Design, develop, and implement machine learning models, from data preprocessing to production deployment. Collaborate with data engineers, software developers, and product managers to integrate AI/ML solutions into existing applications and workflows. Conduct data exploration, feature engineering, and model optimization to ensure scalable, high-performing solutions. Evaluate, fine-tune, and monitor ML models for accuracy, fairness, and performance. Work with large datasets (structured and unstructured), leveraging cloud platforms (AWS, GCP, Azure) and distributed systems when needed. Research and apply cutting-edge techniques in deep learning, NLP, computer vision, or recommendation systems (depending on company focus). Develop APIs, pipelines, and automation to ensure smooth deployment and scaling of AI models. Mentor junior team members and contribute to establishing best practices in AI/ML engineering.

Qualifications & Skills Required Degree in computer science, Data Science, AI/ML, or a related field. 3–7 years of hands-on experience (mid-level 3–5, senior 5–7+) in AI/ML development and deployment. Strong proficiency in Python and ML frameworks such as TensorFlow, PyTorch, Scikit-learn. Experience in data preprocessing, model development, hyperparameter tuning, and evaluation. Solid understanding of ML Ops, CI/CD pipelines, and model monitoring. Strong grasp of statistics, probability, linear algebra, and optimization techniques. Proficiency in using SQL/NoSQL databases and working with large-scale datasets. Preferred / Nice-to-Have Experience with NLP (Transformers, LLMs), computer vision (OpenCV, YOLO, CNNs), or recommendation systems. Knowledge of cloud platforms (AWS SageMaker, GCP Vertex AI, or Azure ML). Familiarity with containerization (Docker, Kubernetes) for scalable deployments. Prior experience working with data engineering pipelines (Airflow, Spark, Kafka). Exposure to generative AI (LLMs, diffusion models, RAG, vector databases) is a strong plus. Benefits Talent upskilling program. Provident fund. Health insurance. Eligible for US H-1 Visa. Project-based bonus. Leave encashment. EOBI Maternity leaves/ Paternal WFH Religious holidays Work from home facility. Referral bonus. Paid time off. Transportation service. Loan and advance salary.

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About Burq Burq started with an ambitious mission: how can we turn the complex process of offering delivery into a simple turnkey solution. We started with building the largest network of delivery networks, partnering with some of the biggest delivery companies. We then made it extremely easy for businesses to plug into our network and start offering delivery to their customers. Now, we’re powering deliveries for some of the fastest-growing companies from retailers to startups. It’s a big mission and now we want you to join us to make it even bigger! We’re already backed by some of the Valley's leading venture capitalists, including Village Global, the fund whose investors include Bill Gates, Jeff Bezos, Mark Zuckerberg, Reid Hoffman, and Sara Blakely. We have assembled a world-class team all over the U.S. We operate at scale, but we're still a small team relative to the opportunity. We have a staggering amount of work ahead. That means you have an unprecedented opportunity to grow while doing the most important work of your career. We want people who are unafraid to be wrong and support decisions with numbers and narrative. Here’s a quick overview of what you will be doing: AI ML Engineer As an AI ML engineer at Burq, you will play a crucial role in designing, developing, and deploying machine learning models and data pipelines. The ideal candidate will take full ownership, from problem definition through to delivering production-grade solutions, requiring strong initiative and self-direction. You will work closely with data engineers, data scientists, and business stakeholders to build scalable solutions that drive impactful business decisions. Your expertise in various data and machine learning tools will be essential in managing our data infrastructure and delivering high-quality AI/ML projects. Basic Qualifications (Required Skills/Experience) Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related field Proficiency in SQL and Python Experience with data integration tools like Airbyte Strong knowledge of data warehousing concepts and hands-on experience with Snowflake Experience with data transformation tools such as dbt Proficiency in using Databricks and Apache Spark for big data processing and machine learning Familiarity with Delta Lake for data lake management Experience with data visualization tools like Tableau Experience with relational databases like MySQL and PostgreSQL Strong analytical and problem-solving skills Excellent communication and teamwork abilities Ability to work in a fast-paced and dynamic environment Preferred Qualifications: A strong individual contributor mindset, demonstrating high autonomy Knowledge of machine learning libraries and frameworks such as TensorFlow, PyTorch, or Scikit-Learn Experience with cloud platforms such as AWS, GCP, or Azure Relevant certifications in data engineering, machine learning, or cloud technologies Responsibilities: Design, develop, and deploy machine learning models using Databricks and Apache Spark Implement data preprocessing, feature engineering, and model training pipelines Utilize dbt (data build tool) to transform and model data in Snowflake to prepare datasets for machine learning Use SQL and Python to analyze large datasets, derive meaningful insights, and build training datasets Conduct exploratory data analysis to identify trends, patterns, and anomalies Develop and maintain ETL pipelines using Airbyte to ingest data from various sources into Snowflake Manage and optimize data storage and retrieval using Delta Lake on Databricks to ensure efficient access for ML models Create and maintain interactive dashboards and visualizations in Tableau to communicate model results and insights to stakeholders Collaborate with data scientists to refine and improve machine learning models Monitor and evaluate the performance of deployed models, ensuring they meet accuracy and performance standards Work with relational databases such as MySQL and PostgreSQL for data storage and management as needed Communicate complex technical concepts and results to non-technical stakeholders effectively

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