Bachelor's degree in Science, Technology, Engineering, Mathematics, or equivalent practical experience.
Experience building Machine Learning or Data Science solutions, including software development in Python, Scala, or R, and experience in data structures, algorithms, and software design.
Experience in solution engineering and experience in stakeholder management, professional services, or technical consulting.
Experience writing code in one or more programming languages (e.g., Python, Java).
Experience with Generative AI models and their applications.
Preferred qualifications:
Master’s degree in Engineering, Computer Science, Business, or a related field.
Experience in an analytical role such as business intelligence, data analytics, or statistics.
Experience in software development, professional services, solution engineering and technical consulting, architecting and rolling out new technology and solution initiatives.
Experience with recommendation engines, data pipelines or distributed ML, data analytics, data visualization techniques and software, and deep learning frameworks.
Knowledge of data warehousing concepts, data warehouse technical architectures, infrastructure components, ETL/ ELT, reporting/analytic tools and environments (Apache Beam, Hadoop, Spark, Pig, Hive, MapReduce, Flume), and of MLOps methodologies for monitoring ML models.