Bachelor's degree in Computer Science or related technical field, or equivalent practical experience.
Experience building ML solutions, including software development in Python, Scala, or R, and experience in data structures, algorithms, and software design.
Ability to travel up to 30% of the time as needed.
Ability to communicate in English and Spanish fluently to support client relationship management in this region.
Preferred qualifications:
Experience working with recommendation engines, data pipelines or distributed machine learning, and with data analytics, data visualization techniques and software, and deep learning frameworks.
Experience in software development, professional services, solution engineering and technical consulting, along with architecting and deploying new technology and solution initiatives.
Experience with Data Science techniques.
Knowledge of data warehousing concepts, including data warehouse technical architectures, infrastructure components, ETL/ ELT and reporting/analytic tools and environments (Apache Beam, Hadoop, Spark, Pig, Hive, MapReduce, Flume).
Knowledge of cloud computing, including virtualization, hosted services, multi-tenant cloud infrastructures, storage systems, and content delivery networks.