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AI Engineer

AIOTACRemote (Pakistan)Posted 3w ago
AI/ML Engineer (Python, PyTorch)
Full Time
Remote
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Job description

We are seeking a highly skilled and motivated AI Engineer to join our team. The ideal candidate will design, develop, and deploy artificial intelligence solutions that drive innovation and efficiency across our products and services. You will collaborate with data scientists, software engineers, and product managers to build intelligent systems that solve complex problems.

Key Responsibilities

  • AI model development: Design, train, and optimize machine learning and deep learning models.
  • Data preprocessing: Clean, transform, and prepare large datasets for training and inference.
  • Algorithm implementation: Apply state-of-the-art techniques in NLP, computer vision, or predictive analytics.
  • Deployment and scaling: Integrate models into production systems ensuring scalability and performance.
  • Collaboration: Work closely with cross-functional teams to align AI solutions with business goals.
  • Research and innovation: Stay updated on emerging AI technologies and contribute to continuous improvement.

Qualifications

  • Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or related field.
  • Strong programming skills in Python, with experience in frameworks like TensorFlow, PyTorch, or Scikit-learn.
  • Solid understanding of machine learning, deep learning, and statistical modeling.
  • Experience with cloud platforms (AWS, Azure, GCP) is a Plus.
  • Knowledge of data engineering and distributed computing is a plus.
  • Strong problem-solving skills and ability to work in a fast-paced environment.

Preferred Skills

  • Experience in natural language processing or computer vision.
  • Familiarity with MLOps and CI/CD pipelines.
  • Ability to communicate complex technical concepts to non-technical stakeholders.

What We Offer

  • Competitive salary and benefits package.
  • Opportunities to work on cutting-edge AI projects.
  • Collaborative and innovative work environment.
  • Professional growth and learning opportunities.

Originally posted on Himalayas

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