Ai Data Scientist

Key Responsibilities: Develop and deploy AI models to enhance automation, prediction accuracy, and overall efficiency across various business functions. Design and optimize machine learning algorithms for production use, improving performance and scalability. Collaborate with software engineers, data scientists, and product teams to integrate AI models into production systems. Conduct research and experiments with deep learning and machine learning algorithms to innovate new AI-powered solutions. Build and maintain data pipelines for model training and inference processes. Stay current with the latest AI research, frameworks, and trends to ensure cutting-edge solutions are deployed. Requirements: Bachelor’s or Master’s degree in Artificial Intelligence, Computer Science, Machine Learning, or a related field. 3-4 years of hands-on experience in AI/ML engineering roles. Proficiency in Python, TensorFlow, Keras, PyTorch, or similar AI frameworks. Experience with machine learning algorithms, natural language processing (NLP), and computer vision. Solid understanding of deep learning techniques and neural networks. Familiarity with cloud-based AI/ML services like AWS SageMaker, Google AI, or Azure AI. Excellent problem-solving skills and ability to translate business needs into AI solutions. Strong knowledge of data preprocessing, feature engineering, and model optimization. Preferred Qualifications: Experience with Reinforcement Learning, GANs, or transformers. Experience with deploying AI models in cloud environments (e.g., AWS, GCP, Azure). Strong understanding of software engineering practices and DevOps principles. Why Join Us? Be a part of a forward-thinking company that leverages AI to drive innovation. Competitive compensation package and comprehensive benefits. Opportunity to work on cutting-edge AI projects with real-world impact. Continuous learning opportunities and access to the latest AI tools and resources. Flexible work environment and opportunities for career growth.