AI Engineer

Requirements

• Bachelor’s degree in Computer Science, Informatics, Software Engineering, Data Science, Mathematics, or a related field.
• Basic understanding of Python and software development fundamentals.
• Familiar with machine learning and AI concepts such as supervised/unsupervised learning, model training, evaluation, and inference.
• Familiar with Python libraries such as Pandas, NumPy, Scikit-learn, and basic experience with PyTorch or TensorFlow.
• Basic understanding of Generative AI, LLMs, prompt engineering, and AI APIs.
• Familiar with REST APIs and basic database concepts.
• Good analytical and problem-solving skills.
• Willingness to learn and work with new AI/ML technologies.
• Experience through academic projects, internships, bootcamps, or personal AI projects is a plus.

Responsibilities

• Assist in developing, testing, and deploying AI/ML solutions for business use cases.
• Prepare, clean, and analyze datasets for model development.
• Implement and evaluate machine learning models under the guidance of senior engineers.
• Develop AI-powered features using LLMs, AI APIs, or existing machine learning models.
• Build and maintain basic AI/ML pipelines and integrate models into applications through APIs.
• Conduct experiments, evaluate model performance, and document results.
• Collaborate with software engineers and other teams to integrate AI features into existing systems.
• Monitor AI/ML solutions and assist in troubleshooting model or integration issues.
• Keep up with emerging AI technologies and contribute ideas for improving existing AI solutions.

Skills: Data Engineering, Data Mining, Computer Vision, Pattern Recognition, Neural Network, Artificial Intelligence, Natural Language Processing (NLP), Redis, Deep Learning, Machine Learning