Job Description

An AI Engineer is responsible for designing, developing, and deploying artificial intelligence systems that solve complex problems. They work with machine learning models, deep learning algorithms, and AI frameworks to build intelligent solutions across various industries, including healthcare, finance, robotics, and cybersecurity.

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)