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Software Engineering Developer at JP Morgan Chase (Hyderabad, India)

About Us

JPMorgan Chase & Co. (NYSE: JPM) is a leading global financial services firm with assets of $2.5 trillion and operations worldwide. The firm is a leader in investment banking, financial services for consumers and small business, commercial banking, financial transaction processing, and asset management. A component of the Dow Jones Industrial Average, JPMorgan Chase & Co. serves millions of consumers in the United States and many of the world's most prominent corporate, institutional and government clients under its J.P. Morgan and Chase brands. Information about JPMorgan Chase & Co. is available at www.jpmorganchase.com.

The Corporate Technology (CT) organization develops applications and provides technology support for corporate functions across JPMorgan Chase, including Global Finance, Corporate Treasury, Risk Management, Human Resources, Compliance, Legal, and all functions within the Corporate Administrative Office (CAO). CT teams are aligned with corporate partners evolving technology needs and the firms ever expanding technology controls agenda.

About Role

The role is for Machine Learning engineering Platform development within the Audit Technology depart of Corporate Technology (CT) organization. The team will create a platform to offer services that will provide re-usable components and an end-to-end deployment environment to accelerate time-to-market, reduction of risk due to manual processing and better ROI for business teams.

He/she need to partner with various engineering, data and business teams across US and India locations. He/she help in productionizes robust and scalable ML models, and enables the services to be deployed and integrated into existing business workflow. He/she will also build common ML capabilities used across Audit Technology based on those models. These capabilities will be delivered using Design Thinking as principle in an Agile and Test Driven manner. This is an exciting opportunity to work on cutting-edge solutions and have a profound influence on the business processes of a leading global bank.

Roles & Responsibilities
Build common ML capabilities based on machine learning models

Lead development of:
Next-generation machine learning platform deployed on private and/or public cloud
Services using standard API framework management framework
Front-end web applications and back-end services that integrate with other products.
High-performance processing and analytics
Robust analytic data pipelines

Automate and streamline existing processes, procedures, and toolsets
Innovate new ways of managing, transforming and validating data
Ensure code paths are unit tested, defect free and integration tested
Mentor and coach junior team members to build a high-performing team

Core Skills
BE degree or equivalent experience in Computer Science, Information Technology or related disciplines
10 -12 years of exceptional hands-on experience of robust software, product, platform design and development
At least 3-years experience with Machine Learning libraries, implementing and deploying ML-based offerings in production minimum experience of deploying 2 complex use cases on Production
Hands-on working experience in various AI powered model implementation with NLP Deep Learning algorithms Experiences in unstructured text data analysis across financial industry
5+ years of Hands-on Java/ Python programming skills and Web Services (spring boot)
Expertise in platform development, distributed computing and micro services
Latest 2 years of experience developing and monitoring Cloud-based products, on one of the leading cloud environments (preferably AWS) - advantage.
2+ years of hands-on development of API using API management framework like Apigee
Proven Proficiency in building reliable and auditable CICD deployment pipeline
Development experience in the following technologies Kafka, Cassandra, MongoDB, Spark
Competence with Agile Development approach
Ability to collaborate with high-performing teams and individuals throughout the firm to accomplish common goals
Financial Services background or experience preferred.

Good to have
Exposure to Tomcat Server Development/Deployment
Familiarity with tools such as BitBucket\Sonar\AppDynamics.
Exposure to UI technologies.

Soft Skills
Excellent written and verbal communication skills
Able to own and manage deliver.
Proactively identify and communicate issues leveraging standard monitoring and alerting tools.
Have ability to work effectively with teams/people having different skill sets, personalities, work styles, or motivation level
A good listener and should articulate ideas in writing and verbally to any audience in a way where these are understood and achieve the goals intended with that communication

Core Skills

BE degree or equivalent experience in Computer Science, Information Technology or related disciplines
10 -12 years of exceptional hands-on experience of robust software, product, platform design and development
At least 3-years experience with Machine Learning libraries, implementing and deploying ML-based offerings in production minimum experience of deploying 2 complex use cases on Production
Hands-on working experience in various AI powered model implementation with NLP Deep Learning algorithms Experiences in unstructured text data analysis across financial industry
5+ years of Hands-on Java/ Python programming skills and Web Services (spring boot)
Expertise in platform development, distributed computing and micro services
Latest 2 years of experience developing and monitoring Cloud-based products, on one of the leading cloud environments (preferably AWS) - advantage.
2+ years of hands-on development of API using API management framework like Apigee
Proven Proficiency in building reliable and auditable CICD deployment pipeline
Development experience in the following technologies Kafka, Cassandra, MongoDB, Spark
Competence with Agile Development approach
Ability to collaborate with high-performing teams and individuals throughout the firm to accomplish common goals
Financial Services background or experience preferred.