AI Engineer

Key Responsibilities

1. AI/ML Development:
   Design, develop, and deploy AI models, algorithms, and applications using state-of-the-art technologies.
2. Work with deep learning frameworks like TensorFlow, PyTorch, or similar.
3. Build and fine-tune machine learning models for real-world applications.
4. Data Processing & Analysis:
   Analyze large datasets to extract insights and prepare them for training and testing AI models.
5. Develop and optimize data preprocessing pipelines.
6. Research & Innovation:
   Stay updated with the latest trends and advancements in AI/ML technologies.
7. Experiment with and propose new AI techniques to solve business challenges.

Required Skills And Qualifications

1. Technical Skills:
   Proficiency in Python and its libraries (e.g., NumPy, pandas, scikit-learn, TensorFlow, PyTorch).
2. Strong understanding of machine learning and deep learning concepts.
3. Hands-on experience with AI/ML model development and deployment.
4. Experience with RESTful APIs and integrating AI services into applications.