Data analysis and preprocessing: Clean, validate, and analyze large datasets to identify patterns, trends, and insights that can be used to drive the development of AI models.
Model development: Design, develop, and implement machine learning algorithms and statistical models to solve complex business problems.
API development: Understand API development, specifically using FastAPIs in Python, to create APIs for model deployment and integration with other systems or applications.
GenAI-based models: Understand and explore GenAI-based models to enhance existing AI models and explore their potential applications across different domains.
Collaborative problem-solving: Work closely with cross-functional teams, including software engineers, product managers, and domain experts to develop innovative AI solutions that address specific business requirements.
AI technique research: Stay up-to-date with the latest advancements in the field of AI, including deep learning, natural language processing, and computer vision, and explore their potential applications to enhance existing AI models
Programming skills: Proficiency in programming languages such as Python and R, and experience with data manipulation libraries (e.g., pandas, NumPy) and machine learning frameworks (e.g., TensorFlow).
Statistical knowledge: Strong understanding of statistical concepts and methodologies such as regression, clustering, hypothesis testing, and time series analysis.
GenAI-based models: Understanding and experience with GenAI-based models, exploring their potential applications, and incorporating them into AI models when appropriate
Data analysis and preprocessing: Clean, validate, and analyze large datasets to identify patterns, trends, and insights that can be used to drive the development of AI models.
Model development: Design, develop, and implement machine learning algorithms and statistical models to solve complex business problems.
API development: Understand API development, specifically using FastAPIs in Python, to create APIs for model deployment and integration with other systems or applications.
GenAI-based models: Understand and explore GenAI-based models to enhance existing AI models and explore their potential applications across different domains.
Education: Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or a related field.
Certification: Certification in cloud technologies especially Azure open AI would be good to have
