76 Conversational AI jobs in Pakistan

• Design, train, and validate machine learning models
• Process and clean large datasets for training
• Automate model pipelines and deployment
• Monitor and retrain models for performance enhancement
• Collaborate on research and development initiatives
  
  

• Bachelor's or Master's in Computer Science, ML, or similar
• 3+ years of experience in ML engineering
• Experience with Python, TensorFlow, and scikit-learn
• Familiarity with Docker, Kubernetes, and cloud services
  
  

We build cutting edge Cloud-based solutions used by over 15,000 companies worldwide, primarily in the US, Australia, and Canada. Our goal is to be the leading SaaS provider for enterprises. Our clients include NASA, 3M, Disney, Amazon, and more.

We're seeking Deep Learning Engineers to enhance our products through AI/ML for recommendations, pattern recognition, and creating smarter systems to boost efficiency.

Requirements:

• Implement machine learning algorithms effectively
• Strong understanding of statistics and deep learning fundamentals
• Solid engineering background with the ability to develop production-ready services
• Proficiency in an object-oriented programming language
• Experience in building efficient, optimized systems, including parallel processing with GPUs for fast response times
• At least 2-3 years of proven experience in deep learning or machine learning

Responsibilities:

• Develop pipelines capable of handling large-scale deep learning data
• Conduct experiments for hypothesis testing
• Continuous optimization of models and systems

Job Description

Build autonomous AI-driven agents for tasks such as reasoning, decision-making, automation, and contextual understanding.

Customize and deploy GPT, LLaMA, Claude, Mistral, and other foundation models to solve industry-specific challenges.

Design scalable, production-ready AI workflows using Python, LangChain, LlamaIndex, OpenAI functions, and AutoGPT.

Enhance AI agents with retrieval-augmented generation (RAG), vector databases (FAISS, Pinecone, Weaviate, ChromaDB), and knowledge graphs.

Work with text, images, audio, and structured data to create multimodal AI applications.

Implement reinforcement learning, agentic workflows, and action-planning techniques to enhance AI autonomy.

Optimize and deploy models on cloud platforms (AWS, Azure, GCP) and ensure efficiency in a microservices-based architecture.

Leverage few-shot learning, prompt chaining, and tool-use APIs to improve AI reasoning capabilities.

Develop responsible AI solutions by addressing bias, explainability, and security concerns.

Proven experience developing GenAI-powered applications and AI agents.

Strong proficiency in Python and AI/ML frameworks (TensorFlow, PyTorch, Hugging Face, LangChain, LlamaIndex, OpenAI API).

Hands-on expertise in LLM fine-tuning, model adaptation, and prompt engineering.

Familiarity with vector databases (FAISS, Pinecone, Weaviate, ChromaDB) and knowledge retrieval techniques.

Experience integrating AI with APIs, automation frameworks, and microservices.

Working knowledge of cloud-based AI deployment (AWS, Azure, GCP).

Understanding of NLP, reinforcement learning, and multi-agent architectures.

Strong problem-solving skills, ability to work independently, and in a collaborative team environment.

Excellent communication skills with a passion for AI-driven innovation.

Machine Learning Engineer


We are in search of a highly skilled Machine Learning Engineer to join our team in Khanpur. In this role, you will be responsible for developing, testing, and implementing cutting-edge machine learning algorithms and models to solve complex problems and improve our products. You will work closely with cross-functional teams to understand business requirements and provide data-driven solutions.

Key Responsibilities:
- Develop and implement machine learning algorithms and models to analyze large datasets and extract valuable insights.
- Collaborate with software engineers to integrate models into our products.
- Conduct experiments, tests, and analysis to evaluate the performance of different models.
- Optimize existing machine learning algorithms for better accuracy, scalability, and efficiency.
- Stay updated with the latest advancements in the field of machine learning and incorporate them into our processes.
- Communicate complex technical concepts to non-technical stakeholders.

Requirements:
- Bachelor's or Master's degree in Computer Science, Data Science, or a related field.
- Minimum of 2 years of experience as a Machine Learning Engineer.
- Strong programming skills in Python, R or Java.
- Experience working with deep learning frameworks such as TensorFlow or PyTorch.
- Knowledge of statistical modelling techniques and data visualization tools.
- Familiarity with cloud computing platforms such as AWS or Azure.
- Excellent problem-solving skills and attention to detail.

Salary:
We offer a competitive salary of 1700$ per month for this role.

Location:
This position is based in Khanpur. Accommodation will be provided for candidates who require it.

We welcome candidates from all backgrounds. Diversity is important to us as we believe it drives innovation. If you are passionate about machine learning and have the required skills and experience, we encourage you to apply for this exciting opportunity.

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3000+ $

2 minutes ago

UAE (Dubai)

15-05-2025

Honest and trustworthy applicant are needed

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You will work closely with stakeholders, some of our most distinguished customers from different parts of the world, and product management teams nurturing long-lasting relationships. You’ll engage with customers on some of their world-class best-in-breed software solutions.

• Excellent written and oral English communication skills.
• 5- 10 years of hands-on experience in predictive modeling and analysis
• Ability to work in Lahore, or relocate to Lahore.
• Degree in Computer Science, Artificial Intelligence, Machine Learning, Operational Research, Statistics or in another highly quantitative field.

• Experience with advanced AI/ML techniques, including traditional ML techniques and deep learning, (e.g. Python, C++, Java, GO, MatLab, etc).
• Experience interfacing with databases ( Firebase, SQL, MongoDB, etc).
• Familiarity with network/messaging (UDP, ZeroMQ, RESTful API, etc).
• Extensive Knowledge and Skills in ML Frameworks like TensorFlow, Keras, Pytorch etc ) libraries ( Like Scikit-learn and pandas), data structures, data modeling, and software architecture.

thdinfinity is an elite full-cycle software development company with a world-class team of talented data scientists, developers, designers, mathematicians, engineers, and creative artists. We sign-in everyday to a much fun-filled environment which helps us to look and develop things our clients would enjoy. Our technology development is based on simplicity inspired by our culture of integrity and originality.

• Salary of PKR 100K-PKR 450K depending on the qualification and experience.
• Very cozy Lahore office with all the perfect “feel at home” amenities.
• All the market competitive benefits including health insurances for self and family, mobilization and OPD allowances, Provident Fund, and Car Entitlement Benefits etc.
• Flexi-Working Time Zones
• Self-Development Programs

Job Description
Translation Empire PK is seeking a Machine Learning Engineer to develop robust, scalable ML models that solve real-world problems. You will work with diverse datasets, build predictive models, and drive continuous improvement in AI workflows.

Key Responsibilities:

• Design, train, and validate machine learning models.
• Process and clean large datasets for training.
• Automate model pipelines and deployment.
• Monitor and retrain models for performance enhancement.
• Collaborate on research and development initiatives.

Qualification and Experience:

• Bachelor’s or Master’s in Computer Science, ML, or similar.
• 3+ years of experience in ML engineering.
• Experience with Python, TensorFlow, and scikit-learn.
• Familiarity with Docker, Kubernetes, and cloud services.

Certification:
ML-related certifications preferred.

Work mode:
Work from Office.

Location:
DHA 1 Sector F Rwp.

Salary:
Market Competitive.

Job Description
Translation Empire PK is seeking a Machine Learning Engineer to develop robust, scalable ML models that solve real-world problems. You will work with diverse datasets, build predictive models, and drive continuous improvement in AI workflows.

Key Responsibilities:

• Design, train, and validate machine learning models.
• Process and clean large datasets for training.
• Automate model pipelines and deployment.
• Monitor and retrain models for performance enhancement.
• Collaborate on research and development initiatives.

Qualification and Experience:

• Bachelor’s or Master’s in Computer Science, ML, or similar.
• 3+ years of experience in ML engineering.
• Experience with Python, TensorFlow, and scikit-learn.
• Familiarity with Docker, Kubernetes, and cloud services.

Certification:
ML-related certifications preferred.

Work mode:
Work from Office.

Location:
DHA 1 Sector F Rwp.

Salary:
Market Competitive.

The Machine Learning Engineer at Venturenox is responsible for creating machine learning models, building data pipelines and extracting business value from the available data. The primary platform to be used is Python (TensorFlow, FastAPI).

Location: Lahore

Work Mode: Hybrid with 2 days/week in office

Experience: 1 - 2 years

Responsibilities:

• Analyzing the ML algorithms and pre-trained models that could be used to solve a given problem.

• Develop server side logic with platforms such as Python make models deployable in production.

• Collaborate with cloud engineers to make the code suitable for deployment in cloud-native environments and deploying models to production.

Desired Skills:

• Proficiency with deep learning frameworks such as TensorFlow or Keras as well as AI frameworks such as LangChain.

• Understanding of challenges in computer vision and speech and natural language processing.

• Proficiency with Python and basic libraries for machine learning as well as web frameworks such as FastAPI.

• Understanding of SQL and NoSQL data stores. Understanding of Kafka is highly desirable.