Emumba

AI/ML Engineer Backend

Remote Islamabad, Pakistan
Python TensorFlow PyTorch Scikit-learn AWS API NLP Computer Vision Machine Learning AI LLM
Description

AI/ML Engineer

Department: Backend

Employment Type: Full Time

Location: Islamabad, Pakistan, Islamabad, Pak, Hybrid

As an AI/ML Engineer at Emumba, you will help build intelligent systems using machine learning and AI to solve real-world problems. You will develop, train, and deploy machine learning models and collaborate with cross-functional teams to integrate AI solutions into scalable applications.

Key Responsibilities

Machine Learning Development

  • Design, train, and evaluate machine learning models for predictive analytics and automation. Optimize models using feature engineering, experimentation, and tuning.

AI Application Development

  • Develop AI-powered applications such as recommendation systems, classification models, and NLP solutions. Integrate models into applications through APIs.

Data Processing

  • Prepare and transform large datasets for model training. Work with data pipelines to support scalable ML workflows.

Model Deployment

  • Deploy and monitor machine learning models in production environments using cloud infrastructure and MLOps practices.

Collaboration

  • Work closely with software engineers, data engineers, and DevOps teams to integrate AI solutions and translate business requirements into machine learning solutions.

Must-Have Qualifications

  • Bachelor’s degree in Computer Science, Artificial Intelligence, Data Science, or a related field
  • 2–4 years of experience in AI/ML engineering or machine learning development
  • Strong proficiency in Python
  • Solid understanding of machine learning algorithms and model development
  • Experience with ML frameworks such as TensorFlow, PyTorch, or Scikit-learn
  • Experience working with structured and unstructured datasets
  • Familiarity with cloud platforms (preferably AWS)
  • Experience with model deployment and API integration

Nice to Have Skills

  • Exposure to Generative AI and LLM-based applications
  • Familiarity with AWS AI/ML services (Bedrock, SageMaker, Lambda, S3, OpenSearch)
  • Experience with vector databases or retrieval systems
  • Understanding of MLOps practices and CI/CD for ML systems
  • Experience with NLP, computer vision, or recommendation systems
Emumba
Emumba

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