on software engineering concepts and advanced applied experience Extensive development experience using Python/SQL Solid understanding of software applications and technical processes within a related technical discipline (e.g. dataingestion, data storage, data serving, APIs, etc.). Hands-on experience in data lake or data warehouse and related technologies (e.g. Spark, ETL, Databricks More ❯
Job Description Find out if this opportunity is a good fit by reading all of the information that follows below. Join JPMorgan Chase's Chief Data & Analytics Office (CDAO) and be part of a mission to modernize compliance through scalable and explainable AI. As a Machine Learning Engineer, you'll design and build systems that answer critical data usage questions with prediction, logic, proof, and intelligent automation. Work at the intersection of applied machine learning, AI reasoning systems, and data governance to tackle complex problems and build ML solutions that make decisions. As a Machine Learning Engineer within JPMorgan Chase's Chief Data & Analytics Office (CDAO), you will design and build systems that answer critical … data usage questions with prediction, logic, proof, and intelligent automation. You will work at the intersection of applied machine learning, AI reasoning systems, and data governance to tackle complex problems and build ML solutions that make decisions. You will build and integrate ML models into structured backend services, write production-ready Python code, and assist in building automated More ❯
Check you match the skill requirements for this role, as well as associated experience, then apply with your CV below. Join JPMorgan Chase's Chief Data & Analytics Office (CDAO) and be part of a mission to modernize compliance through scalable and explainable AI. As a Machine Learning Engineer, you'll design and build systems that answer critical data usage questions with prediction, logic, proof, and intelligent automation. Work at the intersection of applied machine learning, AI reasoning systems, and data governance to tackle complex problems and build ML solutions that make decisions. As a Machine Learning Engineer within JPMorgan Chase's Chief Data & Analytics Office (CDAO), you will design and build systems that answer critical … data usage questions with prediction, logic, proof, and intelligent automation. You will work at the intersection of applied machine learning, AI reasoning systems, and data governance to tackle complex problems and build ML solutions that make decisions. You will build and integrate ML models into structured backend services, write production-ready Python code, and assist in building automated More ❯
detection, classification, clustering, and retrieval across vision and language models, ideally for identifying cyber threats (URLs, domains, phishing, botnets, etc.) Hands-on experience building production -grade AI pipelines, including dataingestion, feature engineering, validation, model deployment, and monitoring . Proficient in a major backend language and related ML/AI libraries (e.g. Tensorflow & PyTorch , etc), with a preference More ❯
