AI Engineer

1 week ago

Lahore, Punjab, Pakistan Kavtech Solutions Pvt. Ltd Full time 900,000 - 1,200,000 per year

We are seeking a motivated AI Engineer with 1.5–2 years of hands-on experience in building and deploying AI/ML solutions. The ideal candidate will have a strong foundation in machine learning, deep learning, and data-driven problem-solving, along with the ability to work collaboratively with cross-functional teams to deliver impactful AI-powered solutions.

Key Responsibilities

  • Design, develop, and implement machine learning and deep learning models for real-world applications.
  • Preprocess, clean, and analyze structured and unstructured data to prepare it for modeling.
  • Work with NLP, computer vision, or predictive analytics models depending on project requirements.
  • Optimize models for performance, scalability, and accuracy.
  • Collaborate with data engineers and software developers to integrate AI models into production systems.
  • Stay up to date with the latest advancements in AI, ML, and deep learning.
  • Document processes, experiments, and findings for internal knowledge sharing.

Required Skills & Qualifications

  • Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, or a related field (Master's is a plus).
  • 1.5–2 years of experience as an AI/ML Engineer, Data Scientist, or similar role.
  • Solid knowledge of Python and ML libraries/frameworks such as TensorFlow, PyTorch, Scikit-learn, Keras.
  • Experience in NLP, Computer Vision, or Recommendation Systems is preferred.
  • Understanding of data preprocessing, feature engineering, and model evaluation techniques.
  • Familiarity with cloud platforms such as AWS, Azure, or Google Cloud for AI/ML deployment.
  • Strong problem-solving, analytical thinking, and communication skills.

Nice-to-Have

  • Experience with LLMs (Large Language Models) or Generative AI applications.
  • Exposure to MLOps tools (e.g., MLflow, Kubeflow, Airflow).
  • Knowledge of SQL/NoSQL databases and data pipelines.

Job Type: Full-time

Work Location: In person

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