Gen AI Architect/Data Scientist

Job Description

Job Description:Machine Learning and Deep Learning: Proficiency in algorithms and frameworks such as TensorFlow and PyTorch is essential for developing AI models and ensuring they perform effectively Programming Languages: Strong skills in programming languages like Python, R, Java, or C++ are crucial for coding and debugging AI systems and writing efficient algorithms Data Science and Analytics: A solid understanding of data analysis, statistics, and big data technologies like Hadoop and Spark is necessary for managing data pipelines and ensuring data quality during AI model training Cloud Computing: Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud) is critical for deploying scalable AI solutions, as many organizations leverage these resources for AI workloads