Be an integral part of an agile team that's constantly pushing the envelope to enhance, build, and deliver top-notch technology products.

As a Senior Lead Software Engineer focused on Machine Learning at JPMorgan Chase within the Consumer & Community Banking Risk Technology team, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. Drive significant business impact through your capabilities and contributions, and apply deep technical expertise and problem-solving methodologies to tackle a diverse array of challenges that span multiple technologies and applications.

Job responsibilities

Design Enterprise Machine Learning platforms that are capable of running predictive models. Document Machine Learning processes and keep abreast of Developments in Machine Learning. Establish standards, guidance and best practices for ML Platform. Establish the appropriate monitoring and alerting of solution events related to performance, scalability, availability, and reliability. Provides technical leadership, guidance and direction to other team members. Build prototypes for demonstration and illustration purposes for peer groups, Business partners, or senior leaders. Solving complex problems with datasets and optimize existing ML libraries and frameworks. Need to have advance knowledge of application, data and infrastructure disciplines Understanding of software skills such as business analysis, development, maintenance, and software improvement Apply knowledge of machine learning model frameworks, algorithms and tools for building ML solutions Deliver high-quality results under tight deadline

Required qualifications, capabilities, and skills

Formal training or certification on software engineering concepts and 5+ years applied experience . In addition, 2 + years of experience leading technologists to manage and solve complex technical items within your domain of expertise   Background with Machine Learning Frameworks and Big Data technologies such as EMR and Spark Strong experience in  programming languages such as Java, Scala and Python Python Machine Learning library and ecosystem experience ( Pandas and Numpy etc) Experience in building ML Models, experience with model accuracy and tuning. Working with Data structured and NLP models Ability to juggle multiple priorities and effectively deliver in a fast-paced, dynamic environment Experience with Cloud technologies such as AWS or Azure. Experience working with databases such as Cassandra, MongoDB or Teradata Knowledge of build tools like Maven and source control like Git/SVN. Comfortable working in an Agile and collaborative environment. Strong written and verbal skills Preferred qualifications, capabilities, and skills Previous financial services experience Previous artificial intelligence and machine learning experience