About the role
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.