Key Responsibilities
- AI/ML Development: Design, develop, and deploy AI models, algorithms, and applications using state-of-the-art technologies; work with deep learning frameworks like TensorFlow, PyTorch, or similar; build and fine-tune machine learning models for real-world applications.
- Data Processing & Analysis: Analyze large datasets to extract insights and prepare them for training and testing AI models; develop and optimize data preprocessing pipelines.
- Research & Innovation: Stay updated with the latest trends and advancements in AI/ML technologies; experiment with and propose new AI techniques to solve business challenges.
Required Skills And Qualifications
- Technical Skills: Proficiency in Python and its libraries (e.g., NumPy, pandas, scikit-learn, TensorFlow, PyTorch); Strong understanding of machine learning and deep learning concepts; Hands-on experience with AI/ML model development and deployment; Experience with RESTful APIs and integrating AI services into applications.