21 Data Mining jobs in Islamabad

• 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
  
  

Join to apply for the Senior Machine Learning Engineer role at Ähdus Technology GmbH

Join to apply for the Senior Machine Learning Engineer role at Ähdus Technology GmbH

Job Title: Senior Machine Learning Engineer

Location: Bahria Town, Phase 7, Rawalpindi

Employment Type: Full-Time

About the Role:

We are seeking a Senior Machine Learning Engineer to join our AI/ML team and lead the development of scalable machine learning solutions across multiple domains. You will be responsible for designing, implementing, and deploying models that drive real-world impact. This role requires strong technical expertise, problem-solving ability, and experience in leading ML projects end-to-end.

Key Responsibilities:

• Design, build, and deploy advanced machine learning models and pipelines.
• Work with cross-functional teams to identify business problems that can be solved using ML.
• Analyze large, complex datasets to derive insights and optimize model performance.
• Implement scalable data processing architectures using tools like Spark, Airflow, or similar.
• Continuously evaluate and improve model accuracy, performance, and reliability.
• Lead and mentor junior ML engineers and contribute to team best practices.
• Research and apply the latest ML techniques, including deep learning and generative models.
• Collaborate with software engineers to integrate models into production systems.
  
  
  

• Bachelor’s or Master’s in Computer Science, Machine Learning, Statistics, or related field (PhD is a plus).
• 4+ years of experience in ML engineering, including production-level model deployment.
• Strong proficiency in Python and ML frameworks (TensorFlow, PyTorch, scikit-learn, etc.).
• Hands-on experience with cloud platforms (AWS, GCP, Azure) and ML services.
• Solid understanding of data structures, algorithms, and software engineering practices.
• Experience with version control, CI/CD pipelines, and containerization (Docker/Kubernetes).
• Excellent problem-solving, communication, and leadership skills.
  
  
  

• Experience with NLP, computer vision, or generative AI models.
• Contributions to open-source ML projects or research publications.

• Seniority level Not Applicable

• Employment type Full-time

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

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We’re on a mission to eliminate geographic borders as barriers to full-time employment and fair wages. We’re creating a global HR platform ecosystem that seamlessly connects exceptional talent worldwide with North American businesses. By making global hiring easier than local hiring, we provide businesses access to a broader talent pool and accelerate their hiring process. Spread across four continents, we’re a global team disrupting how people work together.

Responsibilities

• Develop, train, and optimize machine learning models tailored to real-world business applications.
• Work deeply with LLMs and transformer architectures to build intelligent AI systems.
• Architect and maintain vector databases and embedding systems for semantic search and retrieval.
• Build and manage robust data pipelines, ETL/ELT workflows (e.g., Spark/Glue), and integrate them into Retool pipelines.
• Handle data with proficiency in both SQL and NoSQL (particularly MongoDB) systems.
• Collaborate with cross-functional teams to align AI solutions with business and compliance requirements.
• (Preferred) Contribute to deployment, monitoring, and scale of models using MLOps practices.

Requirements

Must-Have Requirements

• Proven experience in ML model development, training, and optimization.
• Hands-on expertise with LLMs and transformer architectures.
• Solid knowledge of vector databases and embedding systems.
• Strong capability in building data pipelines and ETL/ELT processes (e.g., Spark/Glue or equivalent).
• Proficiency in SQL and NoSQL databases (especially MongoDB).
• Excellent programming skills in Python and familiarity with ML/AI libraries.

Good-To-Have (Preferred) Requirements

• Experience with MLOps practices—model deployment, monitoring, and scaling.
• Familiarity with building RAG (Retrieval-Augmented Generation) systems.
• Experience in fine-tuning LLMs using techniques like LoRA, QLoRA, or PEFT.
• Working knowledge of frameworks such as Hugging Face Transformers, LangChain, or LlamaIndex.
• Exposure to deploying ML workflows on cloud platforms (AWS, GCP, Azure).

Why Join Edge?

Edge is at a pivotal growth point, offering you the rare opportunity to shape the future of global employment. Your work will directly impact business growth, enable global opportunities, and transform how people work across borders.

We’re not just offering a job — we’re inviting you to be part of a revolution.

Ready to leave a global footprint and change lives? Edge is where your vision becomes reality.

• Seniority level Mid-Senior level

• Employment type Full-time

• Job function Product Management, Analyst, and Quality Assurance
• Industries IT Services and IT Consulting and Software Development

Referrals increase your chances of interviewing at Edge by 2x

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About PackageX :

PackageX automates data entry and manual logistics processes for receiving, inventory, and fulfilment in buildings, warehouses, and stores. It uses advanced AI scanning, flexible bolt-on apps, and APIs to drive exceptional workforce productivity, fulfilment efficiency, and real-time visibility.

Our vision is to build the most advanced logistics infrastructure company that orchestrates the movement of physical things and becomes the defining backbone of the digital supply chain.

We're a fast-growing pre-Series A stage startup in New York City with a distributed global team backed by Bullpen Capital, Pritzker Group, Sierra Ventures, Ludlow Ventures, MXV Capital, and NSV Wolf Capital.

About the Role:

We are looking for a passionate and experienced Machine Learning Engineer with a strong background in Computer Vision, Natural Language Processing (NLP), and Large Language Models (LLMs) to join our growing AI team. The ideal candidate is someone who stays up to date with the rapidly evolving ML ecosystem, has hands-on experience solving real-world problems, and can take ownership of end-to-end ML solutions — from research to deployment.

Key Responsibilities:

·Design, build, and deploy machine learning models, particularly in the areas of computer vision and NLP.

· Develop and fine-tune large language models (LLMs) for specialized use cases.

·Translate business and product challenges into ML solutions.

·Collaborate closely with product, design, and engineering teams to integrate ML models into real-world applications.

·Research and implement state-of-the-art techniques while staying ahead of emerging trends in ML and AI.

·Optimize ML models for deployment on mobile and edge devices (Android/iOS).

·Analyze and improve model performance through rigorous testing and evaluation.

·Document findings, contribute to knowledge sharing, and mentor junior engineers if needed.

Required Skills & Qualifications:

· 5+ years of hands-on experience in machine learning.

·Strong foundation in Computer Vision (e.g., image classification, object detection, OCR) and NLP (e.g., transformers, text generation, embeddings).

·Experience working with Large Language Models (OpenAI, Hugging Face, LLaMA, etc.).

·Solid understanding of ML frameworks such as TensorFlow, PyTorch, or JAX.

·Experience deploying ML models in production environments.

·Proven track record of solving real-world business or technical problems using machine learning.

·Familiarity with optimizing ML models for mobile and edge devices is a strong plus.

·Proficient in Python and ML tooling (e.g., NumPy, Pandas, scikit-learn, Hugging Face, OpenCV).

·Strong analytical and problem-solving skills.

Nice to have skills:

·A strong plus if you have worked on deploying ML models on mobile platforms.

·Experience working with machine learning models on mobile devices.

·Exposure to MLOps pipelines and tools (e.g., MLflow, Weights & Biases).

·Contributions to open-source projects or technical blogs.

·Master's or PhD in Computer Science, AI, Machine Learning, or related field.

What can you expect from the application process?

All applications will be looked at by the People team who will reach out to shortlisted candidates. Across various interview rounds, you'll speak with the hiring manager and other functional heads. We want to have an open discussion about your work and how we can be a great fit for each other. The process may also involve an assessment or presentation relevant to the role. You can expect an offer after three rounds of interviews. All offers are subject to satisfactory reference and background checks.