ai engineer

design engineer

executive engineer

integration engineer

ml engineer

HyperSoft Tech

About the RoleWe are seeking a skilled AI Engineer with 3+ years of experience to design, develop, and implement AI solutions. The candidate will work on machine learning models, data analysis, and AI-driven applications to help our products deliver intelligent features.Key Responsibilities<ul><li>Develop, train, and deploy AI/ML models for various applications.</li><li>Work with data scientists, developers, and product teams to integrate AI solutions into products.</li><li>Preprocess, analyze, and interpret large datasets to build AI models.</li><li>Ensure model performance, accuracy, and scalability.</li><li>Collaborate in code reviews, model testing, and deployment processes.</li><li>Stay updated with AI/ML research, tools, and industry trends.</li><li>Document processes, methodologies, and model performance metrics.</li></ul>Requirements &amp; Skills<ul><li>Bachelor&rsquo;s degree in Computer Science, Data Science, AI, or related field.</li><li>3+ years of hands-on experience in AI/ML development.</li><li>Strong knowledge of Python, R, or Java, and AI frameworks like TensorFlow, PyTorch, or Scikit-learn.</li><li>Experience with data preprocessing, feature engineering, and model evaluation.</li><li>Familiarity with cloud services (AWS, Azure, GCP) for AI deployment.</li><li>Good problem-solving, analytical, and teamwork skills.</li><li>Understanding of software development lifecycle (SDLC) is a plus.</li></ul>Preferred (Optional)<ul><li>Experience in NLP, computer vision, or generative AI.</li><li>Knowledge of deploying AI models in production environments.</li></ul>Job Type: Full-timePay: Rs100,000.00 - Rs150,000.00 per monthWork Location: In person

AI Engineer (Mid-Level)

iOPTIME Pvt. Limited

Job description:We are looking for a passionate AI Engineer with hands-on experience in Generative AI, RAG systems, LLMs, and Computer Vision to help design and deploy next-generation AI solutions. You will work on building intelligent systems using LangChain, LLM fine-tuning, OCR, and LLM evaluation pipelinesResponsibilities:<ul><li>Develop and optimize RAG-based architectures for high-quality contextual retrieval and response generation.</li><li>Work on LLM fine-tuning, prompt engineering, and evaluation frameworks to measure model performance and accuracy.</li><li>Fine-tune LLM models to cater to specific business needs, ensuring high accuracy and efficiency.</li><li>Apply Computer Vision techniques for image processing, object detection, and real-time video analytics.</li><li>Collaborate with backend and ML teams to integrate AI components into production using FastAPI, Docker, and GCP or AWS.</li><li>Continuously explore advancements in GenAI, LangChain, and LLM evaluation to enhance system performance.</li></ul>Required Skills &amp; Qualifications:<ul><li>Bachelor&rsquo;s or Master degree in Computer Science, AI/ML, or a related field.</li><li>2 years of hands-on experience in AI/ML model development.</li><li>Strong programming skills in Python with frameworks such as PyTorch or TensorFlow.</li><li>Experience with LLMs, LangChain, RAG, or LLM evaluation pipelines.</li><li>Knowledge of OCR tools (e.g., Tesseract, EasyOCR) and Computer Vision frameworks (e.g., OpenCV, YOLO).</li><li>Familiarity with model deployment, vector databases, and inference optimization.</li><li>Good understanding of prompt engineering, fine-tuning, and model evaluation metrics.</li><li>Strong analytical mindset, problem-solving ability, and teamwork skills.</li></ul>Job Types: Full-time, Contract Contract length: 12 monthsPay: Rs100,000.00 per monthAbility to commute/relocate:<ul><li>Islamabad: Reliably commute or planning to relocate before starting work (Required)</li></ul>Application Question(s):<ul><li>What is your expected salary?</li><li>It's an onsite full-time job, are you comfortable commuting to this job's location?</li></ul>Education:<ul><li>Bachelor's (Required)</li></ul>Experience:<ul><li>Generative AI: 2 years (Required)</li></ul>Work Location: In person

Artificial Intelligence Engineer

Centrox AI

Location: Gulberg Greens, Islamabad Job Type: Full-timeJob SummaryWe are hiring an AI Engineer to design, build, and deploy machine learning solutions for real-world applications. The ideal candidate should be confident with ML/DL models, data pipelines, and production deployment practices.Key Responsibilities<ul><li>Develop and optimize machine learning and deep learning models.</li><li>Perform data preprocessing, feature engineering, and exploratory data analysis.</li><li>Deploy AI models using APIs, cloud services, or containerized environments.</li><li>Build scalable AI pipelines and automate workflows (MLOps).</li><li>Work on NLP, computer vision, or LLM-based systems depending on project needs.</li><li>Collaborate with cross-functional teams (DevOps, Backend, Product).</li><li>Prepare documentation, reports, and model performance evaluations.</li></ul>Required Skills &amp; ToolsTechnical Skills<ul><li>Strong understanding of Machine Learning algorithms &amp; Deep Learning concepts.</li><li>Hands-on experience with: Python, TensorFlow / PyTorch, Scikit-learn, Pandas, NumPy</li><li>Experience with NLP, Computer Vision, or LLMs (any specialization).</li><li>Practical knowledge of data pipelines, model training, fine-tuning, and evaluation.</li></ul>Tools &amp; Technologies<ul><li>Jupyter, Google Colab, or VS Code</li><li>Git / GitHub / GitLab</li><li>Docker (basic knowledge required)</li><li>Cloud platforms (AWS, Azure, GCP &ndash; basic experience is enough)</li><li>API Development (FastAPI or Flask)</li><li>Database basics (SQL, NoSQL)</li></ul>Experience Required<ul><li>1&ndash;3 years of experience in AI/ML Engineering</li><li>Strong internship + project portfolio (for fresh graduates)</li><li>Candidates with Kaggle, GitHub projects, hackathons, or published models/tools will be preferred.</li></ul>Preferred Qualifications <ul><li>Knowledge of MLOps tools (MLflow, DVC, Kubeflow).</li><li>Experience with LLM fine-tuning, embeddings, RAG pipelines, or vector databases.</li><li>Understanding of container orchestration (Kubernetes).</li><li>Any AI certifications (Coursera, Google, Udacity, etc.).</li></ul>What We Offer<ul><li>Competitive salary</li><li>Exposure to large-scale AI systems</li><li>Fast career growth opportunities</li><li>Mentorship from senior engineers</li><li>Friendly and learning-driven work environment</li></ul>Job Type: Full-timeApplication Question(s):<ul><li>How soon you can join?</li><li>What would be your salary expectations for this role?</li></ul>Experience:<ul><li>AI Related: 1 year (Preferred)</li></ul>Work Location: In person

AI Engineer

Confiz

<div>
 We are seeking a
 
 highly skilled Data Scientist
 
 to drive data-driven insights, develop predictive models, and build scalable data preparation pipelines. The ideal candidate will be proficient in Python or R, statistical analysis, and traditional machine learning techniques, with hands-on experience in leveraging Oracle data platforms for analytical workloads.
 
 
 This role involves conducting exploratory data analysis (EDA), feature engineering, and model development, along with collaborating closely with engineering and business teams to deliver impactful and production-ready data science solutions.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Perform exploratory data analysis (EDA) to uncover trends, patterns, and anomalies in large datasets.
 </li>
 <li>
 Apply statistical methods and hypothesis testing to generate actionable insights.
 </li>
 <li>
 Design, build, and validate machine learning models (regression, classification, clustering, etc.).
 </li>
 <li>
 Develop scalable data preparation and feature engineering pipelines for model training.
 </li>
 <li>
 Optimize model performance through hyperparameter tuning, feature selection, and validation.
 </li>
 <li>
 Work with Oracle databases, Oracle SQL, and related tools to extract, transform, and analyze data.
 </li>
 <li>
 Collaborate with data engineers and BI teams to integrate models into business applications and reporting layers.
 </li>
 <li>
 Evaluate model outcomes using appropriate metrics and refine models for deployment.
 </li>
 <li>
 Stay abreast of emerging trends in data science, ML, and AI, continuously enhancing analytical methodologies.
 </li>
 <li>
 Present findings and recommendations to business stakeholders in a clear and actionable format.
 
 
 </li>
 </ul>
 
 Required Skills &amp; Experience
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or equivalent degree in Data Science, Computer Science, Information Technology, or a related field.
 </li>
 <li>
 (3 -7)years of hands-on experience in data science, machine learning, or statistical analysis.
 </li>
 <li>
 Strong programming proficiency in Python or R for data analysis and model building.
 </li>
 <li>
 Solid understanding of machine learning algorithms (e.g., regression, decision trees, random forests, SVMs).
 </li>
 <li>
 Proficiency in statistical analysis, hypothesis testing, and probability theory.
 </li>
 <li>
 Experience in data preprocessing, feature engineering, and dimensionality reduction.
 </li>
 <li>
 Hands-on experience with ML libraries and frameworks (Scikit-learn, XGBoost, LightGBM, Statsmodels, etc.).
 </li>
 <li>
 Strong SQL skills, including experience working with Oracle Database and Oracle Analytics for data extraction and transformation.
 </li>
 <li>
 Experience handling large-scale structured and unstructured datasets.
 </li>
 <li>
 Exposure to model deployment, monitoring, or integration with enterprise systems.
 </li>
 <li>
 Excellent problem-solving, analytical, and communication skills with the ability to translate complex insights for business users.
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Experience working within Oracle data ecosystems (e.g., Oracle Autonomous Database, Oracle Data Science, or Oracle Analytics Cloud).
 </li>
 <li>
 Familiarity with big data technologies (Spark, Hadoop) for large-scale ML workloads.
 </li>
 <li>
 Experience with deep learning frameworks (TensorFlow, PyTorch).
 </li>
 <li>
 Exposure to MLOps, including CI/CD pipelines, model versioning, and lifecycle management.
 </li>
 <li>
 Understanding of A/B testing, experiment design, and data validation techniques.
 
 
 </li>
 </ul>
 We have an amazing team of 700+ individuals working on highly innovative enterprise projects &amp; products. Our customer base includes Fortune 100 retail and CPG companies, leading store chains, fast-growth fintech, and multiple Silicon Valley startups.
 
 
 What makes Confiz stand out is our focus on processes and culture. Confiz is
 
 ISO 9001:2015
 
 (QMS),
 
 ISO 27001:2022
 
 (ISMS),
 
 ISO 20000-1:2018
 
 (ITSM),
 
 ISO 14001:2015
 
 (EMS),
 
 ISO 45001:2018
 
 (OHSMS) Certified. We have a vibrant culture of learning via collaboration and making workplace fun.
 
 
 People who work with us work with cutting-edge technologies while contributing success to the company as well as to themselves.
 
 
 To know more about Confiz Limited, visit: https://www.linkedin.com/company/confiz-pakistan/
</div>

Data Scientist

<div>We are seeking a highly skilled Data Scientist to drive data-driven insights, develop predictive models, and build scalable data preparation pipelines. The ideal candidate will be proficient in Python or R, statistical analysis, and traditional machine learning techniques, with hands-on experience in leveraging Oracle data platforms for analytical workloads.
This role involves conducting exploratory data analysis (EDA), feature engineering, and model development, along with collaborating closely with engineering and business teams to deliver impactful and production-ready data science solutions.
Key Responsibilities
<ul><li>Perform exploratory data analysis (EDA) to uncover trends, patterns, and anomalies in large datasets.</li>
<li>Apply statistical methods and hypothesis testing to generate actionable insights.</li>
<li>Design, build, and validate machine learning models (regression, classification, clustering, etc.).</li>
<li>Develop scalable data preparation and feature engineering pipelines for model training.</li>
<li>Optimize model performance through hyperparameter tuning, feature selection, and validation.</li>
<li>Work with Oracle databases, Oracle SQL, and related tools to extract, transform, and analyze data.</li>
<li>Collaborate with data engineers and BI teams to integrate models into business applications and reporting layers.</li>
<li>Evaluate model outcomes using appropriate metrics and refine models for deployment.</li>
<li>Stay abreast of emerging trends in data science, ML, and AI, continuously enhancing analytical methodologies.</li>
<li>Present findings and recommendations to business stakeholders in a clear and actionable format.</li>
</ul>
Required Skills &amp; Experience
<ul><li>Bachelor&rsquo;s or equivalent degree in Data Science, Computer Science, Information Technology, or a related field.</li>
<li>(3 -7)years of hands-on experience in data science, machine learning, or statistical analysis.</li>
<li>Strong programming proficiency in Python or R for data analysis and model building.</li>
<li>Solid understanding of machine learning algorithms (e.g., regression, decision trees, random forests, SVMs).</li>
<li>Proficiency in statistical analysis, hypothesis testing, and probability theory.</li>
<li>Experience in data preprocessing, feature engineering, and dimensionality reduction.</li>
<li>Hands-on experience with ML libraries and frameworks (Scikit-learn, XGBoost, LightGBM, Statsmodels, etc.).</li>
<li>Strong SQL skills, including experience working with Oracle Database and Oracle Analytics for data extraction and transformation.</li>
<li>Experience handling large-scale structured and unstructured datasets.</li>
<li>Exposure to model deployment, monitoring, or integration with enterprise systems.</li>
<li>Excellent problem-solving, analytical, and communication skills with the ability to translate complex insights for business users.</li>
</ul>
Preferred Qualifications
<ul><li>Experience working within Oracle data ecosystems (e.g., Oracle Autonomous Database, Oracle Data Science, or Oracle Analytics Cloud).</li>
<li>Familiarity with big data technologies (Spark, Hadoop) for large-scale ML workloads.</li>
<li>Experience with deep learning frameworks (TensorFlow, PyTorch).</li>
<li>Exposure to MLOps, including CI/CD pipelines, model versioning, and lifecycle management.</li>
<li>Understanding of A/B testing, experiment design, and data validation techniques.</li>
</ul>
We have an amazing team of 700+ individuals working on highly innovative enterprise projects &amp; products. Our customer base includes Fortune 100 retail and CPG companies, leading store chains, fast-growth fintech, and multiple Silicon Valley startups.
What makes Confiz stand out is our focus on processes and culture. Confiz is ISO 9001:2015 (QMS), ISO 27001:2022 (ISMS), ISO 20000-1:2018 (ITSM), ISO 14001:2015 (EMS), ISO 45001:2018 (OHSMS) Certified. We have a vibrant culture of learning via collaboration and making workplace fun.
People who work with us work with cutting-edge technologies while contributing success to the company as well as to themselves.
To know more about Confiz Limited, visit: https://www.linkedin.com/company/confiz-pakistan/</div>

NorthBay Solutions

<div><h3 class="jobSectionHeader">Job Title: Data Scientist</h3>
Location: Islamabad<h4 class="jobSectionHeader">
Job Type: Full-time, (Hybrid)</h4><h3 class="jobSectionHeader">
Job Description:</h3>
NorthBay is seeking a skilled Data Scientist with 4+ years of professional experience to join our team. The ideal candidate will have hands-on experience in data processing, visualization, and structuring, along with practical exposure to Large Language Models (LLMs) and agentic AI systems. You will work on designing intelligent data workflows, integrating AI models, and developing predictive analytics to support business decision-making. Strong analytical, problem-solving, and communication skills are essential, as the role involves close collaboration with cross-functional stakeholders.<h2 class="jobSectionHeader">
Key Responsibilities:</h2><ul><li>
Design, implement, and optimize LLM-powered features and agentic AI workflows.</li><li>
Develop and maintain data pipelines for extracting, structuring, and processing large datasets.</li><li>
Integrate LLMs (e.g., GPT, Claude, Gemini, Llama) into data workflows to enhance automation and insight generation.</li><li>
Collaborate with technical and business teams to identify opportunities for LLM and agentic AI adoption in operational processes.</li><li>
Build Python-based tools and scripts for data manipulation, visualization, and decision automation.</li><li>
Utilize relational databases (SQL Server, MySQL, etc.) for data extraction and analysis.</li><li>
Research and evaluate modern open-source and proprietary AI/ML models to support project requirements.</li><li>
Implement monitoring and automated data validation processes to ensure quality and scalability.</li><li>
Contribute to GenAI initiatives and experimentation with emerging AI frameworks.</li></ul><h2 class="jobSectionHeader">
Requirements:</h2><ul><li>
4+ years of professional experience in data science, data engineering, or AI-focused roles.</li><li>
2+ years of hands-on experience working with LLMs (GPT, Claude, Gemini, Llama, etc.) and agentic AI systems.</li><li>
1+ year of experience working with relational databases (SQL Server, MySQL, PostgreSQL, etc.).</li><li>
Strong proficiency in Python for data manipulation, automation, API integration, and prompt engineering.</li><li>
Experience with data structuring, cleaning, processing, and visualization tools.</li><li>
Experience building and deploying data-driven or AI-assisted solutions.</li><li>
Good-to-have: Exposure to .NET for application integration or workflow development.</li><li>
Strong communication skills with the ability to translate technical findings into actionable business insights.</li></ul> 
If you meet the above qualifications and are excited to work on innovative AI-driven data solutions, we encourage you to apply and join our team!
O43qpeEkSs</div>

NorthBay - Pakistan

<div>
 Job Title: Data Scientist
 
 
 Location: Islamabad
 
 
 Job Type: Full-time, (Hybrid)
 
 
 
 Job Description
 
 
 
 NorthBay is seeking a skilled Data Scientist with 4+ years of professional experience to join our team. The ideal candidate will have hands-on experience in data processing, visualization, and structuring, along with practical exposure to Large Language Models (LLMs) and agentic AI systems. You will work on designing intelligent data workflows, integrating AI models, and developing predictive analytics to support business decision-making. Strong analytical, problem-solving, and communication skills are essential, as the role involves close collaboration with cross-functional stakeholders.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Design, implement, and optimize LLM-powered features and agentic AI workflows.
 </li>
 <li>
 Develop and maintain data pipelines for extracting, structuring, and processing large datasets.
 </li>
 <li>
 Integrate LLMs (e.g., GPT, Claude, Gemini, Llama) into data workflows to enhance automation and insight generation.
 </li>
 <li>
 Collaborate with technical and business teams to identify opportunities for LLM and agentic AI adoption in operational processes.
 </li>
 <li>
 Build Python-based tools and scripts for data manipulation, visualization, and decision automation.
 </li>
 <li>
 Utilize relational databases (SQL Server, MySQL, etc.) for data extraction and analysis.
 </li>
 <li>
 Research and evaluate modern open-source and proprietary AI/ML models to support project requirements.
 </li>
 <li>
 Implement monitoring and automated data validation processes to ensure quality and scalability.
 </li>
 <li>
 Contribute to GenAI initiatives and experimentation with emerging AI frameworks.
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 4+ years of professional experience in data science, data engineering, or AI-focused roles.
 </li>
 <li>
 2+ years of hands-on experience working with LLMs (GPT, Claude, Gemini, Llama, etc.) and agentic AI systems.
 </li>
 <li>
 1+ year of experience working with relational databases (SQL Server, MySQL, PostgreSQL, etc.).
 </li>
 <li>
 Strong proficiency in Python for data manipulation, automation, API integration, and prompt engineering.
 </li>
 <li>
 Experience with data structuring, cleaning, processing, and visualization tools.
 </li>
 <li>
 Experience building and deploying data-driven or AI-assisted solutions.
 </li>
 <li>
 Good-to-have: Exposure to .NET for application integration or workflow development.
 </li>
 <li>
 Strong communication skills with the ability to translate technical findings into actionable business insights.
 
 
 </li>
 </ul>
 If you meet the above qualifications and are excited to work on innovative AI-driven data solutions, we encourage you to apply and join our team!
</div>

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145 ml engineer jobs IN Islamabad

AI Engineer (Mid-Level)

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AI Engineer

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Data Scientist

Data Scientist

Data Scientist