Machine Learning Engineer

Description

Job Summary: Axity is seeking a Machine Learning Engineer to lead the migration and optimization of processes, ensuring data reconciliation and continuous deployment. Key Highlights: 1. Lead the migration and optimization of machine learning processes. 2. Ensure data reconciliation and documentation generation. 3. Contribute to high-value improvements in the migration process. DESCRIPTION **Axity is a company with over 35 years of experience; our service portfolio is one of the largest in the industry: Digital Strategy, Software Development, Business Intelligence, Big Data, Advanced Analytics, Security, IoT.** ### **We are looking for a Machine Learning Engineer** **Key Responsibilities.** * Prioritize processes for migration according to planning. \- Execute the migration engine, which automatically performs: repository/process reading \-\> code migration with all its components \-\> reconciliation \-\> documentation generation \-\> generation of orchestrator yml files for the process. * Data reconciliation: Lead the reconciliation phase for migrated processes, where queries are executed on both engines (Teradata and Databricks) to compute and compare metrics. Perform corrections on each SQL statement to validate reconciliation, after an LLM has already attempted prior modifications. * Continuous deployment: Generate yml files for deployment and execute commits. * Migration process improvements: Generate high-value enhancements to accelerate the migration process. Bachelor’s degree in Computer Science Engineering, Civil Engineering, or a related field. * Minimum 3 years of experience in analytics, data science, machine learning, and/or data products. * Advanced programming skills (Python) related to data processing and/or analytics. * Advanced knowledge of SQL, Spark, or other data processing technologies/languages. * Experience and knowledge in productizing analytical assets. We offer: Fixed-term contract with indefinite continuity. Hybrid work model. At Axity, we foster an inclusive environment where differences are celebrated and everyone has the opportunity to grow and excel. Our commitment is clear: to create a workplace where every talent finds the necessary support and respect to fully develop and contribute their best self.