1,029 AI Software jobs in Pakistan

Job Description
Translation Empire PK is looking for an AI Software Developer to integrate AI algorithms and tools into production-grade software applications. This role bridges the gap between research and scalable deployment.

Key Responsibilities:

• Develop software products that integrate AI components.
• Ensure reliability and maintainability of AI solutions.
• Write clean, scalable, and testable code.
• Collaborate with AI researchers and engineers.
• Implement APIs and back-end services for AI functionality.

Qualification and Experience:

• Bachelor’s in Computer Science, Software Engineering, or related field.
• 3+ years of software development experience.
• Strong coding skills in Python, Java, or C++.
• Familiarity with ML pipelines and AI frameworks.

Certification:
Preferred.

Work mode:
Work from Office.

Location:
DHA 1 Sector F Rwp.

Salary:
Market Competitive.

Job Description
Translation Empire PK is looking for an AI Software Developer to integrate AI algorithms and tools into production-grade software applications. This role bridges the gap between research and scalable deployment.

Key Responsibilities:

• Develop software products that integrate AI components.
• Ensure reliability and maintainability of AI solutions.
• Write clean, scalable, and testable code.
• Collaborate with AI researchers and engineers.
• Implement APIs and back-end services for AI functionality.

Qualification and Experience:

• Bachelor’s in Computer Science, Software Engineering, or related field.
• 3+ years of software development experience.
• Strong coding skills in Python, Java, or C++.
• Familiarity with ML pipelines and AI frameworks.

Certification:
Preferred.

Work mode:
Work from Office.

Location:
DHA 1 Sector F Rwp.

Salary:
Market Competitive.

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.

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.

• Design and build application features that leverage LLMs to improve user interaction and automation.
• Implement and extend agentic frameworks (Autogen strongly preferred) to orchestrate intelligent workflows.
• Collaborate with product and design teams to identify use cases where AI can add value.
• Develop backend APIs and services in Python to integrate AI functionality into our platform.
• Prototype, evaluate, and refine AI-driven features based on user feedback and performance.
• Ensure that AI components are secure, scalable, and maintainable.
• Contribute to internal tooling and frameworks to accelerate AI/LLM adoption across teams.
• Stay current with advances in GenAI and agent-based systems and bring relevant ideas into the product roadmap.

• Bachelor’s degree in Computer Science or a related field, or equivalent experience.
• Strong expertise (5+ years) in Python and experience building backend services.
• Direct experience working with LLMs and AI frameworks (OpenAI, LangChain, Autogen, etc.).
• Familiarity with AI agents and agentic orchestration patterns.
• Experience with Django and React is highly desirable.
• Demonstrated ability to develop production-ready AI-powered features.
• Comfortable working in a fast-paced startup environment with shifting priorities.
• Proficiency in Python and modern backend development frameworks.
• Solid understanding of generative AI tools, models, and APIs.
• Hands-on experience with Autogen or similar agentic frameworks.
• Ability to design and deliver intuitive, AI-enhanced user experiences.
• Strong problem-solving and experimentation skills.
• Effective communication and cross-functional collaboration.