421 Freelance AI jobs in Pakistan

Job Title: AI Trainer

Job Type: Part time

Responsibilities:

Develop and deliver AI/ML training programs.

Create hands-on exercises and real-world AI applications.

Guide learners on AI tools, frameworks, and best practices.

Stay updated with AI advancements and integrate them into training.

Provide mentorship and support to trainees.

Requirements:

Bachelor's/Masters in AI, Data Science, or related field.

3+ years of experience in AI/ML development & training.

Expertise in Python, TensorFlow, PyTorch, and AI concepts.

Strong communication and presentation skills.

Passion for teaching and knowledge sharing.

Join to apply for the Senior Artificial Intelligence (AI) Engineer role at Ähdus Technology GmbH

Join to apply for the Senior Artificial Intelligence (AI) Engineer role at Ähdus Technology GmbH

Get AI-powered advice on this job and more exclusive features.

Job Title: Senior Artificial Intelligence (AI) Engineer

Location: Bahria Town, Phase 7, Rawalpindi

Employment Type: Full-Time

About the Role:

We are hiring a Senior AI Engineer to lead the design, development, and deployment of intelligent systems that solve complex real-world problems. You will work on a broad range of AI technologies—including machine learning, deep learning, NLP, and computer vision and collaborate with cross-functional teams to deliver scalable, AI-driven solutions.

Key Responsibilities:

• Design and develop end-to-end AI solutions, from data processing to model deployment.
• Work on diverse AI domains including NLP, computer vision, recommendation systems, and decision intelligence.
• Lead model experimentation, optimization, and evaluation using advanced techniques.
• Collaborate with data scientists, engineers, and product managers to integrate AI into applications.
• Stay updated with the latest AI research and translate cutting-edge advancements into production-grade tools.
• Ensure ethical and responsible AI use, including bias detection and explainability.
• Mentor junior engineers and contribute to AI system architecture and strategy.
  
  
  

• Master’s or PhD in Computer Science, Artificial Intelligence, Machine Learning, or related field.
• 5+ years of experience in AI/ML development, including large-scale model deployment.
• Strong knowledge of Python, deep learning frameworks (PyTorch, TensorFlow), and ML libraries.
• Experience with cloud-based AI platforms (AWS/GCP/Azure) and MLOps tools.
• Solid understanding of algorithms, data structures, and software engineering practices.
• Strong problem-solving, analytical thinking, and communication skills.
  
  
  

• Experience with generative AI, reinforcement learning, or multimodal systems.
• Published research or open-source contributions in AI-related fields.
• Experience building AI products in sectors like healthcare, finance, retail, or robotics.

• Seniority level Not Applicable

• Employment type Full-time

• Job function Engineering and Information Technology
• Industries IT Services and IT Consulting

Referrals increase your chances of interviewing at Ähdus Technology GmbH by 2x

Rawalpindi, Punjab, Pakistan 15 hours ago

We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.

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.

AI Developer Onsite 2-3 years Experience

We are seeking a talented and motivated AI Developer to join our dynamic team. The ideal candidate will have 2 to 3 years of hands-on experience in artificial intelligence (AI) development and a passion for exploring new technologies. This role offers an exciting opportunity to work on innovative AI projects and contribute to the advancement of our company's AI capabilities.

• Develop, implement, and optimize machine learning algorithms and models to solve complex business problems.
• Collaborate with cross-functional teams to gather requirements, define project objectives, and design AI solutions that meet client needs.
• Explore and experiment with emerging AI technologies, frameworks, and libraries to enhance our AI capabilities.
• Collect, clean, and preprocess data to build high-quality training datasets for machine learning models.
• Train, evaluate, and fine-tune machine learning models using appropriate techniques and methodologies.
• Deploy AI models into production environments and integrate them with existing systems and applications.
• Monitor model performance, identify areas for improvement, and implement enhancements to ensure optimal performance and accuracy.
• Stay updated on the latest developments in AI research, tools, and techniques, and share knowledge with team members through presentations, workshops, and training sessions.

• 2 to 3 years of professional experience in AI development, machine learning, or data science.
• Solid understanding of machine learning fundamentals, algorithms, and techniques.
• Proficiency in programming languages such as Python, Java, or C++.
• Experience with popular AI frameworks and libraries such as TensorFlow, PyTorch, or scikit-learn.
• Strong analytical and problem-solving skills, with the ability to translate business requirements into technical solutions.
• Excellent communication and collaboration skills, with the ability to work effectively in a team environment.
• Version control systems (e.g., Git) and code branching strategies.
• Proven ability to manage multiple projects simultaneously and deliver results within tight deadlines.
• Excellent communication and teamwork skills.
• Experience working with cloud platforms (e.g., AWS, Azure, Google Cloud) and knowledge of cloud-based AI services is a plus.

• Bachelor's degree or higher in computer science, engineering, mathematics, or a related field.
• Female candidates are encouraged to apply to promote diversity and inclusivity in our organization.
• Demonstrated ability to work effectively in a team and individually.
• Strong analytical and problem-solving skills.
• Commitment to staying up-to-date with the latest industry trends and technologies.
• Strong interpersonal and communication skills.
• A proactive and self-motivated attitude with a passion for software development.
• Adaptability and willingness to learn and apply new skills.
• Strong organization and time management skills.

We are here! Let’s kick-off our journey to success!

Let’s embark on a journey of innovation and excellence together.