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About the Job

Responsibilities:
  • Design, train, and fine-tune AI and ML models.
  • Improve the efficiency and accuracy of AI models.
  • Collect, clean, and pre-process large datasets for AI training.
  • Integrate AI models into applications, cloud platforms, or edge devices.
  • Ensure AI models perform well over time and retrain them when needed.
  • Ensure AI solutions are fair, unbiased, and comply with ethical guidelines.
  • Documenting machine learning/deep learning processes.
  • Keeping abreast of developments in machine learning.
  • Turning unstructured data into useful information by auto-tagging images and text-to-speech conversions.
Requirements:
  • Bachelor’s Degree (minimum) in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related field.
  • Master’s Degree or Ph.D. (preferred for research or advanced roles). Technical Skills
  • Programming Languages: Python, Java, C++, R
  • Machine Learning & Deep Learning: TensorFlow, PyTorch, Scikit-Learn
  • Data Science & Analytics: Pandas, NumPy, Matplotlib
  • Big Data & Cloud Computing: Hadoop, Spark, AWS, Google Cloud, Azure
  • Algorithms & Mathematics: Linear algebra, probability, statistics, calculus
  • Software Development: API integration, containerization (Docker, Kubernetes)
Job Benefits
  • Networking: AI is a hot field at conferences, workshops, and hackathons—great for building connections.
  • Creativity: You can experiment with innovative applications (like generative AI, robotics, or smart systems).
  • Career flexibility: Skills in AI also apply to data science, software engineering, research, and entrepreneurship.
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