328 AI Specialist jobs in Pakistan

Job Overview: We are seeking a proactive and versatile AI Integration Specialist to join our team. The role involves integrating cutting-edge AI solutions into our business operations and developing a custom GPT system linked with SAP to automate workflows and enhance productivity. This is an exciting opportunity for individuals passionate about leveraging AI to optimize business processes and create innovative solutions for internal and external use. The specialist will also focus on connecting all possible business functions with AI to drive efficiency and innovation.

Key Responsibilities:

1. Custom GPT System Development: Design, build, and refine a custom GPT system to automate tasks like bank reconciliation, data summarization, and financial reporting.
2. Integrate the GPT system with SAP modules (e.g., FICO, inventory management, and production planning).
3. Enable natural language queries for SAP data access and insights.
4. AI Integration and Automation: Automate repetitive business processes (e.g., inventory tracking, reporting, and order management).
5. Research and implement AI tools like OpenAI, TensorFlow, or RPA platforms (e.g., UiPath, Zapier).
6. Create intuitive dashboards and generate real-time business insights using AI analytics.
7. Collaboration and Optimization: Collaborate with the founder to brainstorm AI-based solutions and prioritize projects.
8. Conduct testing and optimize AI tools for accuracy, efficiency, and scalability.
9. Train team members on using AI-driven systems to ensure smooth adoption.
10. Market Research and Scalability: Research AI applications and best practices in footwear manufacturing and SAP integration.
11. Identify scalable solutions to commercialize AI systems for other businesses and industries.
12. End-to-End AI Integration: Identify all potential areas within the business that can benefit from AI integration, including supply chain, customer interactions, and production workflows.
13. Develop and implement AI-driven solutions to connect and optimize various functions, creating a fully integrated AI ecosystem.

Qualifications:

1. Proficiency in Python and API integrations (experience with OpenAI API is a plus).
2. Familiarity with SAP modules and tools like OData or SAP BTP.
3. Hands-on experience with automation tools like Zapier, UiPath, or Make (formerly Integromat).
4. Strong analytical and problem-solving skills.
5. Excellent communication skills for collaboration and documentation.
6. A proactive mindset with a passion for learning and innovation.

Bonus Skills:

1. Experience in AI applications for manufacturing (e.g., predictive maintenance, quality control).
2. Knowledge of machine learning frameworks (e.g., TensorFlow, PyTorch).

• Entry level

• Full-time

• Project Management and Information Technology

• Consumer Services

Join to apply for the AI Automation Specialist role at iRESTORE Laser (Freedom Laser Therapy) .

What you’ll do

• Map pain points – Interview team members across marketing, ops, CX, and product to identify high-impact, high-effort processes ripe for automation.
• Ship automations fast – Build, test, and deploy n8n workflows (and occasional custom scripts) for use cases like influencer sourcing, automated reporting dashboards, and an internal iRESTORE knowledge bot.
• Integrate tools – Connect Shopify, Amazon SP-API, Google Sheets, Slack, Airtable, Klaviyo, etc., using APIs and webhooks.
• Monitor & iterate – Set up logging, alerting, and SLA checks; refine flows based on usage data and stakeholder feedback.
• Document & train – Create concise SOPs and Loom walkthroughs so non-technical teammates can self-serve.
• Track ROI – Quantify hours saved, cost reductions, and incremental revenue driven by each automation.

Must-have qualifications

• Experience building workflow automations (n8n required; Zapier/Make.com plus).
• Solid grasp of REST APIs, OAuth, and webhook patterns.
• Strong English communication skills; able to translate business requirements into technical specs.
• Self-starter mindset, bias for action, comfortable working asynchronously with 2-4 hr overlap to Pacific Time.

Nice-to-haves

• Experience in e-commerce, DTC, or Amazon marketplace tooling.
• Familiarity with vector databases, LangChain/LlamaIndex, and RAG pipelines.
• Basic SQL and data-viz (Metabase, Looker, Supabase).
• Knowledge of prompt engineering and LLM orchestration.

KPIs / first-90-day outcomes

• Manual hours eliminated: 150+ hrs
• High-impact automations shipped: ≥3
• Internal NPS (“automation satisfaction”): ≥ 8/10
• Playbooks created: 100% of automations

• Entry level

• Full-time

• Engineering and Information Technology

• Health, Wellness & Fitness

This job posting is active and accepting applications.

Karachi

Remote

One-year contractual role

We are seeking a talented Data Scientist with strong expertise in SAS Viya and significant experience in
the banking and telecom sectors. In this role, you will leverage advanced analytics and machine learning
techniques to derive actionable insights from large datasets, optimizing business decisions and
strategies. Your knowledge of SAS Viya, along with your domain expertise, will be essential for
developing predictive models, improving customer experience, and enhancing operational efficiency.

Description

• Develop, implement, and fine-tune predictive and statistical models using SAS Viya to address
  business needs, with a focus on customer segmentation, churn prediction, fraud detection, and
  risk management in the banking and telecom sectors.
• Conduct deep data analysis and feature engineering to uncover patterns, trends, and insights
  that drive business strategies in banking and telecom operations.
• Integrate and process large datasets from various sources (e.g., transactional data, customer
  behavior data, financial data) and leverage SAS Viya’s cloud-native capabilities for scalable data
  processing and analysis.
  
• Apply machine learning algorithms and artificial intelligence techniques to develop models that
  enhance customer experience, optimize marketing campaigns, and improve operational
  efficiency.
• Present findings and insights through clear and actionable visualizations and reports using SAS
  Visual Analytics and other reporting tools, making complex data accessible to stakeholders.
• Continuously improve model performance by fine-tuning algorithms and optimizing data
  workflows to handle large volumes of data efficiently.

Requirements

• 5+ years of experience as a Data Scientist with a strong background in SAS Viya and experience
  working in banking and telecom sectors.
• Strong proficiency in SAS Viya (including SAS Visual Analytics, SAS Visual Data Mining and
  Machine Learning, and SAS Cloud Analytics).
• Experience with predictive modeling, statistical analysis, and machine learning algorithms in
  both sectors.
• Excellent communication skills, with the ability to translate technical findings into business
  insights for non-technical stakeholders.

SWATX is seeking a highly skilled and experienced Data Science Manager to lead our growing data science team. In this strategic role, you will be responsible for overseeing the development and implementation of data-driven solutions to solve complex business challenges. You will mentor and guide a team of data scientists, driving innovation and excellence in analytics and machine learning. If you are a strong leader with a passion for data science and a proven track record of delivering impactful solutions, we invite you to join us.

Responsibilities:

• Lead and mentor a team of data scientists, providing guidance on best practices in data analysis, machine learning, and statistical modeling
• Develop and execute the data science strategy aligned with business objectives, ensuring that data-driven insights are integrated into decision-making processes
• Oversee the design and implementation of innovative data science projects that drive value for the organization
• Collaborate with cross-functional teams to identify opportunities for leveraging data to improve products, services, and operational efficiency
• Build and maintain strong relationships with stakeholders, understanding their data needs and ensuring timely delivery of insights
• Monitor and evaluate the performance of data science models and adjust strategies as necessary to achieve desired results
• Promote a data-driven culture within the organization by communicating the value of data science initiatives to stakeholders at all levels
• Stay updated on the latest trends and developments in data science and analytics, and integrate new methodologies and tools as appropriate
  
  

• Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field
• Proven experience in a data science role, with at least 5+ years of experience, including 2+ years in a managerial or leadership position
• Strong proficiency in programming languages such as Python, R, and experience with data manipulation and analysis libraries
• Solid understanding of machine learning algorithms, statistical methodologies, and data modeling techniques
• Experience with data visualization tools (e.g., Tableau, Power BI) to communicate findings effectively
• Excellent project management skills and ability to prioritize tasks in a fast-paced environment
• Strong analytical and problem-solving skills with attention to detail
• Exceptional communication skills, both verbal and written, in English and Arabic
• Proven capability to drive collaboration across teams and influence senior stakeholders
  
  

• Certified Data Scientist (CDS)
• Microsoft Certified: Azure Data Scientist Associate
• Google Cloud Professional Data Engineer

Devsinc is seeking a talented Data Science Engineer who will play a pivotal role in designing, implementing, and optimizing data-driven solutions that enhance our machine learning capabilities. The ideal candidate has a strong background in data engineering combined with machine learning and is passionate about applying modern technologies to drive innovation. You will collaborate with data scientists, analysts, and software engineers to create robust data pipelines and deploy advanced models.

Key Responsibilities:

• Design and implement scalable data pipelines to efficiently collect, process, and analyze large volumes of data from various sources.
• Collaborate with data scientists to transform machine learning models into production-ready applications.
• Optimize and maintain existing data workflows, ensuring data accuracy, quality, and integrity throughout the process.
• Evaluate and integrate new data management and processing technologies to enhance analytics capabilities.
• Create and manage data repositories, following best practices for data governance and security.
• Develop documentation and provide training to team members on data systems and workflows.
• Utilize cloud platforms (e.g., AWS, Azure, Google Cloud) for data storage, processing, and machine learning deployment.
• Stay updated on the latest industry trends and technologies in data engineering and machine learning.
• Lead the development and deployment of machine learning models that drive key business metrics and outcomes.
• Build and maintain scalable data pipelines and feature stores for training and inference use cases.
• Work closely with product, engineering, and business teams to identify high-impact data science opportunities and close the loop on delivery.
• Monitor and retrain models in production to ensure performance over time and handle data drift issues.
• Contribute to architectural decisions on data platforms and model-serving infrastructure.
• Mentor junior team members and help shape best practices in data science engineering.

Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Data Engineering, Machine Learning, or a related technical discipline.
• 3-5 years of professional experience in data science and engineering roles, with a track record of delivering production-ready solutions.
• Demonstrated experience translating business problems into data science projects with measurable outcomes.
• Prior experience working closely with business stakeholders to operationalize models and drive ROI.

Soft Skills:

• Strong analytical and problem-solving skills with attention to detail.
• Excellent communication skills, both verbal and written, to convey technical concepts effectively.
• Ability to work collaboratively in a fast-paced team environment and manage multiple priorities.
• Motivated self-starter with a passion for learning and applying new technologies.