manager ai automation and integration Jobs in Islamabad

manager ai automation and integration

senior data scientist

ai/ml intern

data scientist

senior ai engineer

machine learning

AIOTAC

<div>
 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:
 
 
 
 <ul>
 <li>
 Work with the team to design and improve machine learning models for specific projects.
 </li>
 <li>
 Clean and prepare data for analysis and model training.
 </li>
 <li>
 Explore and test new machine learning techniques to make models more accurate and efficient.
 </li>
 <li>
 Help deploy and test models in environments similar to production.
 </li>
 <li>
 Collaborate with software engineers to integrate models into existing systems.
 </li>
 <li>
 Stay updated on new AI and machine learning tools and trends
 </li>
 <li>
 </li>
 <li>
 Keep detailed records of processes, findings, models, and performance for future reference.
 
 
 
 </li>
 </ul>
 
 Requirements:
 
 
 
 <ul>
 <li>
 A degree in Computer Science, Data Science, or a related field is required.
 </li>
 <li>
 Good understanding of machine learning algorithms like regression, classification, and clustering.
 </li>
 <li>
 Proficient in Python and libraries
 </li>
 <li>
 Familiar with cloud platforms like AWS, Google Cloud, or Azure.
 </li>
 <li>
 Knowledge of NLP or computer vision is a plus.
 </li>
 <li>
 Comfortable with version control systems, particularly Git.
 
 
 
 </li>
 </ul>
 
 What We Offer:
 
 
 
 <ul>
 <li>
 A supportive environment with mentorship opportunities to grow your skills.
 </li>
 <li>
 Opportunities to work on impactful projects and contribute to innovative products.
 </li>
 <li>
 Access to learning resources and professional development.
 
 </li>
 </ul>
</div>

AI/ML Intern

Cloudelligent

<div>Position Title: Sr. AWS AI Engineer 
Location: Islamabad 
Job Timings: 6pm-3am Pakistan Time (PKT) 
 
About Cloudelligent 
 
Cloudelligent is Cloud-native consultancy and AWS Advanced consulting partner! We specialize in providing bespoke cloud solutions to startups and SMBs. Being a next-gen cloud service provider, Cloudelligent helps businesses to make the most out of their cloud investment. We have an international footprint with a diverse team of domain experts, and we are customer obsessed. 
 
Job Objective 
 
As a Sr. AWS AI Engineer at Cloudelligent, you will drive the development of innovative artificial intelligence solutions. This role emphasizes the implementation, optimization, and deployment of AI models while collaborating with cross-functional teams to enhance our products and services. The ideal candidate will possess a strong foundation in both machine learning and deep learning. Additionally, this role will lead and manage a team of AI engineers, guiding their growth and ensuring the successful delivery of AI-driven solutions. 
 
Responsibilities:<ul><li>
Implement and fine-tune pre-trained AI models tailored to meet specific industry needs.</li><li>
Utilize cloud-based AI services, particularly AWS Bedrock, Amazon SageMaker, Amazon Rekognition, and OpenAI, to streamline development and deployment processes.</li><li>
Leverage AWS data services, including Amazon Athena, Amazon Redshift, OpenSearch, Kendra and AWS Glue, for efficient data processing and analysis.</li><li>
Optimize AI models for performance, accuracy, and efficiency, ensuring they meet real-world requirements.</li><li>
Apply techniques to reduce AI hallucination and enhance model reliability.</li><li>
Utilize Retrieval-Augmented Generation (RAG) techniques to improve AI response quality.</li><li>
Work with vector databases, specifically PostgreSQL with pgvector, for efficient similarity search and information retrieval in AI applications.</li><li>
Collaborate with cross-functional teams to seamlessly integrate AI capabilities into our products and services.</li><li>
Engage in prompt engineering to enhance model interaction and output quality.</li><li>
Stay updated on the latest trends and advancements in AI technologies, contributing to the adoption of new tools and techniques.</li></ul>
Requirements:<ul><li>
Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, AI, Machine Learning, or a related field.</li><li>
5+ years of hands-on experience in AI/ML development with a strong focus on AWS-based AI services.
</li><li>Advanced proficiency in Python and expertise in AI/ML frameworks such as TensorFlow, PyTorch, or Keras.</li><li>
Extensive experience with AWS AI services, including Amazon SageMaker, AWS Bedrock, and integrating Azure OpenAI into cloud-based solutions.</li><li>
In-depth knowledge of AWS data services, including Amazon Athena, Amazon Redshift, AWS Glue, and their application in AI/ML pipelines.</li><li>
Expertise in Agentic Behavior in AI and deploying models using technologies like CrewAI, LangGraph, and Langchain.</li><li>
Experience with vector databases and similarity search techniques for scalable AI solutions.</li><li>
Understanding of AI/ML algorithms and architectures, including CNNs, RNNs, transformers, and experience building end-to-end solutions.</li><li>
Expertise in data preprocessing, feature engineering, and model evaluation at scale.</li><li>
Demonstrated ability to lead AI/ML projects and communicate complex ideas effectively to both technical and non-technical stakeholders.</li></ul>
Good to Have:<ul><li>
Experience with machine learning frameworks and libraries like TensorFlow, PyTorch, or Scikit-learn.</li><li>
Knowledge of big data technologies such as Apache Spark or Hadoop.</li><li>
Familiarity with data visualization tools and techniques.</li></ul>
Highly Desirable:<ul><li>
Relevant certifications (e.g., AWS Certified Machine Learning &ndash; Specialty, AWS Certified AI Practitioner).</li></ul> 

2h4VJLw2ob</div>

Sr. AWS AI Engineer

Webtronix

Job Summary: We are seeking a highly skilled Senior AI Engineer to lead the design, development, and deployment of advanced AI and machine learning solutions. The ideal candidate will have a strong background in AI/ML algorithms, deep learning frameworks, and production-level system design, with the ability to translate complex business problems into scalable AI solutions.Responsibilities:<ul><li>Design, implement, and optimize machine learning models and AI systems.</li><li>Lead AI research and development projects from prototype to production.</li><li>Collaborate with data scientists, engineers, and product teams to integrate AI solutions into applications and workflows.</li><li>Evaluate and select appropriate AI tools, libraries, and technologies.</li><li>Mentor junior team members and contribute to best practices in AI development.</li><li>Stay updated with the latest trends and advancements in AI/ML research.</li><li>Drive initiatives in areas such as NLP, computer vision, predictive analytics, and generative AI.</li></ul>Qualifications:<ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Engineering, Mathematics, or related field (PhD preferred).</li><li>5+ years of experience in AI/ML development, with at least 2+ years in a senior or lead role.</li><li>Proven experience with machine learning frameworks (TensorFlow, PyTorch, Scikit-learn, etc.).</li><li>Proficiency in Python and relevant libraries (NumPy, Pandas, etc.).</li><li>Strong understanding of deep learning, NLP, reinforcement learning, or computer vision.</li><li>Experience deploying models into production environments (Docker, Kubernetes, cloud platforms).</li><li>Excellent problem-solving, communication, and leadership skills.</li></ul>Technical Skills:<ul><li>Experience with LLMs (e.g., GPT, BERT), generative models, or multi-modal AI.</li><li>Familiarity with MLOps tools (MLflow, Kubeflow, SageMaker, etc.).</li><li>Contributions to AI research (papers, patents, open-source).</li><li>Strong in Python (preferred)</li><li>Familiarity with R, Java, or C++ is a plus</li><li>TensorFlow, PyTorch, Scikit-learn</li><li>Keras, Hugging Face Transformers</li><li>OpenCV (for computer vision), SpaCy or NLTK (for NLP)</li><li>Deep Learning (CNNs, RNNs, Transformers)</li><li>Classical ML (Regression, SVMs, Decision Trees, etc.)</li><li>NLP, Computer Vision, or Generative AI</li><li>SQL, NoSQL, Pandas, NumPy</li><li>Big data tools (Spark, Hadoop) is a plus</li><li>Model deployment using Docker, Kubernetes, Flask/FastAPI</li><li>Experience with cloud platforms (AWS, GCP, Azure)</li><li>CI/CD pipelines for ML workflows (e.g., MLflow, Kubeflow, Airflow)</li></ul>Job Type: Full-timePay: Rs100,000.00 - Rs250,000.00 per monthWork Location: In personApplication Deadline: 28/06/2025

Senior AI Engineer

Fun Prime Technology

About the Role:We are seeking fresh, energetic, and creative interns with a strong interest in AI, language models, and problem-solving. As a Prompt Engineer Intern, you will work closely with our AI/Tech team to design, test, and refine prompts for AI-driven applications. This is an excellent opportunity for candidates passionate about AI, machine learning, and natural language processing to gain hands-on industry experience.Key Responsibilities:<ul><li>Research, design, and experiment with prompts for AI tools (ChatGPT, MidJourney, etc.)</li><li>Collaborate with developers and designers to optimize AI responses for real-world use cases.</li><li>Analyze results to improve prompt accuracy, creativity, and efficiency.</li><li>Assist in documenting best practices and creating a prompt library.</li><li>Support the team in AI-driven projects, prototypes, and experiments.</li></ul>Requirements:<ul><li>Fresh graduates or final-year students in Computer Science, AI, Data Science, Linguistics, or related fields.</li><li>Strong interest in AI, NLP, and generative tools.</li><li>Creative mindset with problem-solving abilities.</li><li>Good communication skills in English (written &amp; verbal).</li><li>Ability to think critically and pay attention to detail.</li><li>Energetic, self-motivated, and eager to learn.</li></ul>Preferred (Not Mandatory):<ul><li>Familiarity with AI tools like ChatGPT, MidJourney, Stable Diffusion, Bard, etc.</li><li>Basic understanding of Python or scripting languages.</li><li>Prior exposure to NLP or machine learning concepts.</li></ul>Job Type: Full-timeWork Location: In person

Prompt Engineer Intern

S&P Global

About the Role: 
Grade Level (for internal use): 10 Team Overview
 Our Data and AI Engineering Team consists of skilled professionals focused on creating innovative and scalable data solutions. We specialise in cloud technologies, especially AWS and Snowflake , and prioritise data security and governance. Collaboration is key , as we work closely with Data Scientists and ML Engineers to advance impactful data projects. We encourage continuous learning and are actively adopting new technologies like Generative AI models and advanced machine learning tools to improve our data platforms and achieve outstanding outcomes.
 Role Impact
 In this role, you will design and implement scalable data architectures aligned with strategic goals, especially those supporting all stages of the Machine Learning (ML) and Generative AI (GenAI) lifecycle . You will apply your expertise in Snowflake, Python, and cloud technologies to maintain strong data security and integrity. Your work will drive innovation by developing, optimising, and maintaining production-level data pipelines that support both analytical and predictive modelling, enhancing data processing efficiency and enabling data-driven decision-making across the organisation.
 
Main Contributions
 Responsibilities: (Dual Emphasis on Data Engineering & Data Science Enablement)
 ML Data Pipeline Development: Create and uphold scalable, reliable, and secure data infrastructure essential for Machine Learning model training, validation, and inference in production settings.
 Feature Store Collaboration: Partner with Data Scientists to design, build, and maintain a centralized Feature Store , ensuring consistency, reusability, and low-latency access to features for model training and deployment.
 GenAI Data Handling: Develop and execute data ingestion and processing workflows for text and unstructured data , including methods for vectorisation and populating vector databases to support Retrieval-Augmented Generation (RAG) architectures .
 Core Data Engineering: Build and maintain robust ELT/ETL processes within Snowflake and AWS to integrate diverse, large-scale data sources, ensuring excellent data governance, quality, and performance for general business intelligence.
 MLOps Partnership: Collaborate closely with ML Engineers to operationalise data flows to and from MLOps platforms (e.g., SageMaker, MLflow) , focusing on automating pipelines and managing data versioning .
 Query and Compute Efficiency: Optimize data storage and computing resources across the platform to speed up data science experiments and model training workloads , while managing costs effectively.
 Data Security and Compliance: Implement advanced security measures to safeguard sensitive data used in AI datasets , maintaining data integrity and confidentiality in line with governance standards.
 Required Skills and Experience
 Essential Skills: (Dual Focus)
 
Data Engineering Expertise (5+ Years): Extensive experience in a core Data Engineering role, including 5+ years working with Snowflake and strong skills in SQL and Python for data manipulation and engineering.
 Data Science Enablement: Demonstrated experience building and optimizing data pipelines specifically for Machine Learning model training and deployment (e.g., feature engineering, time-series data handling, complex schema management).
 Cloud Computing: Solid practical experience with AWS services (S3, Lambda, EC2, ECS) for creating reliable, scalable cloud data solutions.
 Distributed Processing: Familiarity with distributed computing frameworks such as PySpark or Dask for large-scale data transformation.
 Data Security: Strong knowledge of RBAC security models and secure data connection protocols.
 Communication: Excellent communication and teamwork skills, with a proven history of effective collaboration with Data Science and Business teams .
 Preferred Qualifications: (AI/ML Specialization)
 
MLOps / MLOps Platforms: Hands-on experience integrating data systems with MLOps platforms (e.g., MLflow, Amazon SageMaker) for production model deployment.
 Generative AI Data: Experience with vector databases (e.g., Pinecone, ChromaDB) and familiarity with data preparation for LLMs and RAG architectures .
 Feature Store Expertise: Practical or theoretical knowledge of Feature Stores (e.g., Feast, Tecton) and their role in the ML lifecycle.
 Advanced Data Orchestration: Experience with modern orchestrators like Apache Airflow, Prefect, or Dagster for managing complex, data-science-focused workflows.
 Experience with Cortex AI or comparable cloud AI tools.
 Certifications in Snowflake, AWS Data Analytics, or related areas.
 
#LI-USA
 
What’s In It For You?
 
Our Purpose: 
Progress is not a self-starter. It requires a catalyst to be set in motion. Information, imagination, people, technology–the right combination can unlock possibility and change the world.
 
Our world is in transition and getting more complex by the day. We push past expected observations and seek out new levels of understanding so that we can help companies, governments and individuals make an impact on tomorrow. At S&P Global we transform data into Essential Intelligence®, pinpointing risks and opening possibilities. We Accelerate Progress.
 
Our People: 
We're more than 35,000 strong worldwide—so we're able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all.
 
From finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it. We are changing the way people see things and empowering them to make an impact on the world we live in. We’re committed to a more equitable future and to helping our customers find new, sustainable ways of doing business. We’re constantly seeking new solutions that have progress in mind. Join us and help create the critical insights that truly make a difference.
 
Our Values: 
Integrity, Discovery, Partnership
 
At S&P Global, we focus on Powering Global Markets. Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals.
 
Benefits: 
We take care of you, so you can take care of business. We care about our people. That’s why we provide everything you—and your career—need to thrive at S&P Global.
 
Our benefits include: 
Health & Wellness: Health care coverage designed for the mind and body.
 
Flexible Downtime: Generous time off helps keep you energized for your time on.
 
Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills.
 
Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs.
 
Family Friendly Perks: It’s not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families.
 
Beyond the Basics: From retail discounts to referral incentive awards—small perks can make a big difference.
 For more information on benefits by country visit: https://spgbenefits.com/benefit-summaries
 
Global Hiring and Opportunity at S&P Global: 
At S&P Global, we are committed to fostering a connected and engaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets.
 
Recruitment Fraud Alert: 
If you receive an email from a spglobalind.com domain or any other regionally based domains, it is a scam and should be reported to reportfraud@spglobal.com . S&P Global never requires any candidate to pay money for job applications, interviews, offer letters, “pre-employment training” or for equipment/delivery of equipment. Stay informed and protect yourself from recruitment fraud by reviewing our guidelines, fraudulent domains, and how to report suspicious activity here .
 
-----------------------------------------------------------
 
Equal Opportunity Employer
 S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment.
 
If you need an accommodation during the application process due to a disability, please send an email to: EEO.Compliance@spglobal.com and your request will be forwarded to the appropriate person.
 
US Candidates Only: The EEO is the Law Poster http://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf describes discrimination protections under federal law. Pay Transparency Nondiscrimination Provision - https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf
 
----------------------------------------------------------- 20 - Professional (EEO-2 Job Categories-United States of America), IFTECH202.1 - Middle Professional Tier I (EEO Job Group), SWP Priority – Ratings - (Strategic Workforce Planning)
 
Job ID: 318971
 Posted On: 2025-08-27
 Location: Islamabad, Pakistan

Senior Data Scientist

<div>
 
 About The Role
 
 
 
 
 Grade Level (for internal use):
 
 
 
 10
 
 
 
 Team Overview
 
 
 
 Our Data and AI Engineering Team consists of skilled professionals focused on creating innovative and scalable data solutions. We specialise in cloud technologies, especially
 
 AWS and Snowflake
 
 , and prioritise data security and governance.
 
 Collaboration is key
 
 , as we work closely with
 
 Data Scientists and ML Engineers
 
 to advance impactful data projects. We encourage continuous learning and are actively adopting new technologies like
 
 Generative AI models
 
 and advanced machine learning tools to improve our data platforms and achieve outstanding outcomes.
 
 
 
 Role Impact
 
 
 
 In this role, you will design and implement scalable data architectures aligned with strategic goals, especially those supporting all stages of the
 
 Machine Learning (ML) and Generative AI (GenAI) lifecycle
 
 . You will apply your expertise in Snowflake, Python, and cloud technologies to maintain strong data security and integrity. Your work will
 
 drive innovation by developing, optimising, and maintaining production-level data pipelines
 
 that support both analytical and predictive modelling, enhancing data processing efficiency and enabling
 
 data-driven decision-making
 
 across the organisation.
 
 
 Main Contributions
 
 
 
 Responsibilities: (Dual Emphasis on Data Engineering &amp; Data Science Enablement)
 
 
 
 <ul>
 <li>
 ML Data Pipeline Development: Create and uphold scalable, reliable, and secure data infrastructure essential for Machine Learning model training, validation, and inference in production settings.
 </li>
 <li>
 Feature Store Collaboration: Partner with Data Scientists to design, build, and maintain a centralized Feature Store, ensuring consistency, reusability, and low-latency access to features for model training and deployment.
 </li>
 <li>
 GenAI Data Handling: Develop and execute data ingestion and processing workflows for text and unstructured data, including methods for vectorisation and populating vector databases to support Retrieval-Augmented Generation (RAG) architectures.
 </li>
 <li>
 Core Data Engineering: Build and maintain robust ELT/ETL processes within Snowflake and AWS to integrate diverse, large-scale data sources, ensuring excellent data governance, quality, and performance for general business intelligence.
 </li>
 <li>
 MLOps Partnership: Collaborate closely with ML Engineers to operationalise data flows to and from MLOps platforms (e.g., SageMaker, MLflow), focusing on automating pipelines and managing data versioning.
 </li>
 <li>
 Query and Compute Efficiency: Optimize data storage and computing resources across the platform to speed up data science experiments and model training workloads, while managing costs effectively.
 </li>
 <li>
 Data Security and Compliance: Implement advanced security measures to safeguard sensitive data used in AI datasets, maintaining data integrity and confidentiality in line with governance standards.
 
 
 </li>
 </ul>
 
 Required Skills And Experience
 
 
 
 
 Essential Skills: (Dual Focus)
 
 
 
 <ul>
 <li>
 Data Engineering Expertise (5+ Years): Extensive experience in a core Data Engineering role, including 5+ years working with Snowflake and strong skills in SQL and Python for data manipulation and engineering.
 </li>
 <li>
 Data Science Enablement: Demonstrated experience building and optimizing data pipelines specifically for Machine Learning model training and deployment (e.g., feature engineering, time-series data handling, complex schema management).
 </li>
 <li>
 Cloud Computing: Solid practical experience with AWS services (S3, Lambda, EC2, ECS) for creating reliable, scalable cloud data solutions.
 </li>
 <li>
 Distributed Processing: Familiarity with distributed computing frameworks such as PySpark or Dask for large-scale data transformation.
 </li>
 <li>
 Data Security: Strong knowledge of RBAC security models and secure data connection protocols.
 </li>
 <li>
 Communication: Excellent communication and teamwork skills, with a proven history of effective collaboration with Data Science and Business teams.
 
 
 </li>
 </ul>
 
 Preferred Qualifications: (AI/ML Specialization)
 
 
 
 <ul>
 <li>
 MLOps / MLOps Platforms: Hands-on experience integrating data systems with MLOps platforms (e.g., MLflow, Amazon SageMaker) for production model deployment.
 </li>
 <li>
 Generative AI Data: Experience with vector databases (e.g., Pinecone, ChromaDB) and familiarity with data preparation for LLMs and RAG architectures.
 </li>
 <li>
 Feature Store Expertise: Practical or theoretical knowledge of Feature Stores (e.g., Feast, Tecton) and their role in the ML lifecycle.
 </li>
 <li>
 Advanced Data Orchestration: Experience with modern orchestrators like Apache Airflow, Prefect, or Dagster for managing complex, data-science-focused workflows.
 </li>
 <li>
 Experience with Cortex AI or comparable cloud AI tools.
 </li>
 <li>
 Certifications in Snowflake, AWS Data Analytics, or related areas.
 
 
 </li>
 </ul>
 #
 
 
 
 What&rsquo;s In It For
 
 
 You?
 
 
 
 
 Our Purpose
 
 
 
 Progress is not a self-starter. It requires a catalyst to be set in motion. Information, imagination, people, technology&ndash;the right combination can unlock possibility and change the world.
 
 
 Our world is in transition and getting more complex by the day. We push past expected observations and seek out new levels of understanding so that we can help companies, governments and individuals make an impact on tomorrow. At S&amp;P Global we transform data into Essential Intelligence&reg;, pinpointing risks and opening possibilities. We Accelerate Progress.
 
 
 
 Our People
 
 
 
 We're more than 35,000 strong worldwide&mdash;so we're able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all.
 
 
 From finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it. We are changing the way people see things and empowering them to make an impact on the world we live in. We&rsquo;re committed to a more equitable future and to helping our customers find new, sustainable ways of doing business. We&rsquo;re constantly seeking new solutions that have progress in mind. Join us and help create the critical insights that truly make a difference.
 
 
 
 Our Values
 
 
 
 
 Integrity, Discovery, Partnership
 
 
 
 At S&amp;P Global, we focus on Powering Global Markets. Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of
 
 integrity
 
 in all we do, bring a spirit of
 
 discovery
 
 to our work, and collaborate in close
 
 partnership
 
 with each other and our customers to achieve shared goals.
 
 
 
 Benefits
 
 
 
 We take care of you, so you can take care of business. We care about our people. That&rsquo;s why we provide everything you&mdash;and your career&mdash;need to thrive at S&amp;P Global.
 
 
 
 Our Benefits Include
 
 
 
 <ul>
 <li>
 Health &amp; Wellness: Health care coverage designed for the mind and body.
 </li>
 <li>
 Flexible Downtime: Generous time off helps keep you energized for your time on.
 </li>
 <li>
 Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills.
 </li>
 <li>
 Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs.
 </li>
 <li>
 Family Friendly Perks: It&rsquo;s not just about you. S&amp;P Global has perks for your partners and little ones, too, with some best-in class benefits for families.
 </li>
 <li>
 Beyond the Basics: From retail discounts to referral incentive awards&mdash;small perks can make a big difference.
 
 
 </li>
 </ul>
 For more information on benefits by country visit: https://spgbenefits.com/benefit-summaries
 
 
 
 Global Hiring And Opportunity At S&amp;P Global
 
 
 
 At S&amp;P Global, we are committed to fostering a connected and engaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets.
 
 
 
 Recruitment Fraud Alert
 
 
 
 If you receive an email from a spglobalind.com domain or any other regionally based domains, it is a scam and should be reported to reportfraud@spglobal.com. S&amp;P Global never requires any candidate to pay money for job applications, interviews, offer letters, &ldquo;pre-employment training&rdquo; or for equipment/delivery of equipment. Stay informed and protect yourself from recruitment fraud by reviewing our guidelines, fraudulent domains, and how to report suspicious activity here.
 
 
 
 Equal Opportunity Employer
 
 
 
 S&amp;P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment.
 
 
 If you need an accommodation during the application process due to a disability, please send an email to: EEO.Compliance@spglobal.com and your request will be forwarded to the appropriate person.
 
 
 
 US Candidates Only:
 
 The EEO is the Law Poster http://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf describes discrimination protections under federal law. Pay Transparency Nondiscrimination Provision - https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf
 
 
 20 - Professional (EEO-2 Job Categories-United States of America), IFTECH202.1 - Middle Professional Tier I (EEO Job Group), SWP Priority &ndash; Ratings - (Strategic Workforce Planning)
 
 
 
 Job ID:
 
 318971
 
 
 
 Posted On:
 
 2025-08-27
 
 
 
 Location:
 
 Islamabad, Pakistan
 
 
</div>

The Model IELTS & PTE Academy

AI Team Lead (REMOTE)Position: AI Team LeadExperience Required: Minimum 5 years in AI projectType: Contract-based (Milestone-driven)Trial Period: 3&ndash;5 days (Unpaid trial to assess fit and capability)About the RoleWe are seeking a highly skilled AI Team Lead to oversee and guide our AI development projects. The ideal candidate will have a strong technical background in artificial intelligence, machine learning, and project management, with proven leadership abilities.Responsibilities<ul><li>Lead, mentor, and manage the AI project team.</li><li>Design and implement AI models and systems tailored to business needs.</li><li>Coordinate milestone-based deliverables and ensure timely completion.</li><li>Provide strategic direction for research and development in AI.</li><li>Collaborate with stakeholders to translate business needs into AI-driven solutions.</li></ul>Requirements<ul><li>At least 5 years of experience in AI roles.</li><li>Strong leadership and communication skills.</li><li>Experience managing end-to-end AI projects.</li><li>Proficiency in Python, TensorFlow, PyTorch, or similar frameworks.</li><li>Ability to work under milestone-driven timelines.</li></ul>What We Offer<ul><li>Contract-based engagement with clear milestones.</li><li>Flexibility in work schedule and deliverables.</li><li>Opportunity to lead a growing AI-focused team.</li></ul>Job Type: ContractApplication Question(s):<ul><li>Are you availabe for 3-5 days unpaid trial ?</li></ul>Experience:<ul><li>AI team lead: 5 years (Required)</li></ul>Work Location: Remote

AI Team lead remote

Explore 176+ Machine learning in Islamabad this September. Find roles across top companies and apply now to boost your career.

176 machine learning jobs IN Islamabad

AI/ML Intern

Sr. AWS AI Engineer

Senior AI Engineer

Prompt Engineer Intern

Senior Data Scientist

Senior Data Scientist

AI Team lead remote