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.
