Senior AI Engineer

Job Description: Senior AI Engineer(2 to 4 years)

Educational Background

• Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or a related field.

Required Skills

• Programming Proficiency: Strong programming skills in Python or other relevant languages (e.g., R, Java).
• AI Frameworks: Hands-on experience with AI frameworks such as TensorFlow, PyTorch, or Keras.
• Machine Learning Algorithms: Practical knowledge of machine learning algorithms like linear regression, decision trees, random forests, and SVM.
• Deep Learning Concepts: Experience working with deep learning models such as convolutional neural networks (CNNs) and recurrent neural networks (RNNs).
• Data Handling: Expertise in data preprocessing, feature engineering, and model evaluation.
• Problem-Solving: Strong analytical and problem-solving skills to tackle complex AI problems.
• Independent and Team Work: Ability to work independently and collaboratively within a team environment.
• Up-to-date Knowledge: Staying current with the latest AI research, technologies, and best practices to ensure relevant and effective AI solutions.
• Communication: Excellent verbal communication skills for explaining technical concepts and AI model results clearly.
• Specialized Skills:
• Experience in Computer Vision, Deep Learning, Machine Learning, Natural Language Processing (NLP), and Large Language Models (LLMs).
• Vector Databases (VectorDB) and Retrieval-Augmented Generation (RAG) models: Practical experience in developing and working with these technologies.

Bonus Skills

• NLP or Computer Vision: Experience in developing AI models for natural language processing or computer vision applications.
• Cloud Platforms: Familiarity with cloud platforms such as AWS, GCP, or Azure for deploying AI models.