446 AI Specialists jobs in Pakistan

• Build, train, and optimize machine learning and AI models for real-world applications.
• Develop and fine-tune conversational AI systems using Rasa and NLP pipelines with SpaCy or similar plateforms.
• Implement and customize large language models, including LLaMA and other transformer-based architectures.
• Preprocess and analyze structured and unstructured datasets for AI model development.
• Evaluate model performance and iteratively improve accuracy, efficiency, and scalability.
• Collaborate with product managers and engineers to integrate AI models into production systems.
• Deploy models on cloud platforms and ensure reliable operation in real-time environments.
• Document algorithms, workflows, and processes for reproducibility and team knowledge sharing.
• Stay updated with advancements in AI, LLMs, and NLP frameworks, applying the latest techniques to projects.
  
  

• Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field.
• 3+ years of experience in developing, training, and deploying AI/ML models.
• Proficiency in Python and ML frameworks such as TensorFlow, PyTorch, and Scikit-learn.
• Hands-on experience with Rasa, SpaCy, and large language models like LLaMA.
• Strong understanding of NLP concepts, including tokenization, named entity recognition, and text classification.
• Familiarity with transformer-based architectures (BERT, GPT, or similar).
• Experience with cloud platforms (AWS, GCP, or Azure) and deploying models in production environments.
• Solid grasp of data preprocessing, feature engineering, and model evaluation.
  
  

• Proven ability to design and implement conversational AI CallBot end-to-end.
• Experience with additional NLP frameworks like Hugging Face or OpenAI API.
• Knowledge of MLOps practices, including model monitoring and versioning.
• Familiarity with Docker, Kubernetes, and microservices architecture.
• Experience working with big data tools such as Spark or Hadoop.
  
  

We are seeking a Senior AI Engineer to join our team and help us develop innovative solutions using artificial intelligence and machine learning technologies. As an AI Engineer, you will be acting as an AI Team Lead, designing, building, testing and deploying AI-based systems that can automate and optimize business processes
Responsibilities:

• Provide technical guidance and leadership to a team of AI engineers, data scientists, and developers. Define the technical vision, strategy, and roadmap for AI projects.
• Attend client interviews and provide the best advice and solutions.
• Collaborate with stakeholders to understand business requirements and translate them into AI solution designs. Identify the most suitable AI algorithms, models, and frameworks for each project.
• Lead the development and implementation of AI solutions, ensuring high-quality code, scalability, and reliability. Take ownership of the technical architecture, code review processes, and deployment strategies.
• Work closely with data engineers and data scientists to ensure proper data collection, storage, and preprocessing for AI projects. Ensure adherence to data privacy and security standards.
• Identify performance bottlenecks and optimize AI models and algorithms for efficiency and accuracy.
• Create and maintain technical documentation, best practices, and guidelines for AI development. Conduct knowledge sharing sessions and mentor junior team members.
• Stay up-to-date with the latest advancements in AI technologies, tools, and frameworks. Identify opportunities for innovation and research to improve existing AI capabilities.

• Understanding of functional design principles, object-oriented programming principles, and basic algorithms.
• Ability to work on a dynamic, research-oriented team that has concurrent projects
• At least 2 years of experience in formulating and strategizing AI solutions and data modeling.
• Advanced experience in pattern recognition and predictive modeling.
• Expertise in Machine Learning, Deep learning for Natural Language Processing & Computer Vision, and hands on experience with Open AI and HuggingFace Models in Python
• Extensive knowledge of AI frameworks, libraries, data structures, data training, data modeling, and model deployment architecture.
• Expertise in REST API development.
• Implement MLOps best practices for model management, monitoring, and deployment.
• Familiarity with Cloud services, i.e AWS, Google Cloud, etc.
• knowledge of Machine Learning frameworks like TensorFlow,PyTorch and Scikit-learn.
• Programming experience in one or more of the following languages, such as Python and R.

If you’re passionate about (industry or field) and ready to make an impact at Digixvalley, we’d love to hear from you! Please send your resume and cover letter to

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Job Description
Translation Empire PK is looking for an AI Engineer to design and implement machine learning models that drive business innovation. The successful candidate will be responsible for developing, deploying, and monitoring AI systems across various projects.

Key Responsibilities:

• Design and develop machine learning models.
• Deploy AI solutions to production environments.
• Perform data analysis and model optimization.
• Work closely with engineering and product teams.
• Maintain model performance and update based on new data.

Qualification and Experience:

• Bachelor’s or Master’s in Computer Science, AI, or related field.
• 2+ years of AI/ML experience.
• Experience with Python, TensorFlow, Keras, or PyTorch.
• Understanding of cloud ML services (AWS, Azure, GCP).

Certification:
Relevant AI/ML certifications preferred.

Work mode:
Work from Office.

Location:
DHA 1 Sector F Rwp.

Salary:
Market Competitive.

Direct message the job poster from Ideate Growth

Experience: 2–4 years

About the Role

We’re seeking a versatile developer who thrives across the full stack and is passionate about building automation systems and AI-powered workflows. Your work will span back‑end development in Python and Node.js, front‑end apps using Next.js, and automated data‑driven features built on platforms like n8n or Make.com.

What You’ll Do

Architect, develop, deploy, and support backend services and workflows using Python (FastAPI / Flask / Django) and Node.js (Express / Nest.js)

Build responsive Next.js front-end features with SSR/SSG using React and TypeScript

Design and manage AI automation flows using tools like n8n, Make.com, or custom scripts

Integrate third-party APIs (e.g. OpenAI, Google APIs, CRMs) and handle authentication protocols (API keys, OAuth2, JWT)

Troubleshoot and optimize systems for performance, reliability, and scalability

Collaborate with product, design, and QA teams to deliver impactful solutions

Write clean, maintainable code and support CI/CD pipelines with documentation

Must-Have Qualifications

2+ years professional experience with Python and Node.js

Proficiency in Next.js with solid understanding of frontend development (React, TypeScript)

Hands-on experience with n8n, Make.com, or similar no-code/low-code automation platforms

Familiarity with relational and NoSQL databases (e.g. PostgreSQL, MongoDB)

Understanding of cloud environments, containers (Docker), and version control (Git)

Strong problem-solving mindset and ability to work independently

Good to Have

Experience with LangChain or other LLM frameworks

Knowledge of vector databases (e.g. FAISS, Pinecone, pgvector)

Familiarity with Retrieval-Augmented Generation (RAG) architecture

Understanding of embeddings, semantic search, or chatbot development

Exposure to serverless deployment and infrastructure as code

• Seniority level Entry level

• Employment type Full-time

• Job function Engineering and Information Technology
• Industries Marketing Services

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We develop cutting-edge AI-driven solutions for complex business problems. We are seeking an AI-Developer-II to join our team, which is at the forefront of developing intelligent solutions that extract, process, structure and understand information from vast amounts of unstructured data. You will play a crucial role in conducting R&D activities (experimentation, data-preparation, model-training etc.) as well as developing robust and scalable AI systems. You will be working in a cross-functional team environment.

Responsibilities:

• Design and develop advanced NLP pipelines for intelligent processing of unstructured data from varied sources
• Design and implement structured representations of extracted information, such as knowledge graphs
• Design, execute and evaluate R&D experiments to develop AI solutions to complex problems
• Work on deep learning and transformer-based model architectures
• Enhance OCR, entity recognition, enrichment and classification techniques
• Prepare large-scale datasets and use them to train, fine-tune and evaluate machine learning models
• Design and build intuitive and insightful dashboards for algorithm prototyping, data visualization, and performance monitoring
• Write efficient and well-documented APIs to expose the functionality of AI solutions to internal and external stakeholders
• Collaborate with cross-functional teams, including Data Scientists, Software Engineers, and Product Managers, to gather requirements and implement AI solutions.
• Stay updated with the latest advancements in AI - specially NLP, Knowledge graphs and Advanced RAG

Requirements:

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
• 01-03 experience in designing and developing AI solutions - with a strong focus on NLP.
• Strong proficiency in Python, and familiarity with relevant libraries/frameworks (spaCy, NLTK, LangGraph etc) as well as software engineering principles.
• Familiarity with LLMs, knowledge graphs, graph databases and semantic search.
• Familiarity with OCR and text extraction frameworks.
• Excellent problem-solving skills and a strong analytical mindset.
• Knowledge of data visualization tools and techniques, and experience in designing dashboards for algorithm prototyping and model monitoring.
• Experience in building scalable and efficient APIs for AI pipelines.
• Ability to work effectively in a collaborative, cross-functional team environment.

• Seniority level Entry level

• Employment type Full-time

• Job function Engineering and Information Technology
• Industries Software Development

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