Address
Form of work
Salary Description"We are looking for an experienced ML Engineer to contribute to deploy, maintain, and monitor Machine Learning models to enhance value for stakeholders. The ideal candidate should have a strong background in ML operations withing Banking industry, proficient in collaboration with Data Engineering teams, and is well versed with AI tools used in banking industry."
Skills"\u2022 Machine Learning experience,\n\u2022 Proficiency in SQL (MySQL, Postgres).\n\u2022 Productionizing Models.\n\u2022 Building Recommendation Engines.\n\u2022 Practical experience working with Customer Segmentation Algorithms.\n\u2022 AWS MLOps pipeline expertise.\n\u2022 NLP(Spark ML , AWS Connect, comprehend) experience.\n\u2022 Apache Airflow.\n\u2022 Experience with data lineage tools (i.e. openlineage) and\/or with data catalogs (i.e. Amundsen).\n\u2022 General MLOps expertise (MLFlow).\n\u2022 Familiar with foundational data science concepts."
Responsibilities"\u2022 Building Standard ML models.\n\u2022 Python development within commercial scenarios.\n\u2022 Contribute to the development of a banking data platform, ensuring resilience and adaptability.\n\u2022 Facilitate collaboration with Data Engineering teams.\n\u2022 Advocate for data quality and observability across ML models and data systems.\n\u2022 Evaluate and implement new Data Science and AI tools, focusing on practical deployment and cost management."
