Software Engineering - ML Engineer

Job Description

As a member of our Software Engineering Group you will dive head-first into creating innovative solutions that advance businesses and careers. You ll join an inspiring and curious team of technologists dedicated to improving the design, analytics, development, coding, testing and application programming that goes into creating high quality software and new products. You ll be tasked with keeping the team and other key stakeholders up to speed on the progress of what s being developed. Coming in with an understanding of the importance of end-to-end software development-such as Agile frameworks-is key. And best of all, you ll be working with and sharing ideas, information and innovation with our global team of technologists from all over the world. This role requires a wide variety of strengths and capabilities, including:Advanced knowledge of application, data and infrastructure architecture disciplinesUnderstanding of architecture and design across all systems Working proficiency in developmental toolsets Ability to collaborate with high-performing teams and individuals throughout the firm to accomplish common goalsProficiency in one or more general purpose programming languages Understanding of software skills such as business analysis, development, maintenance and software improvement Corporate TechnologyThe 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 firm s ever expanding technology controls agenda.A top CT priority is purpose-building scalable corporate systems. Teams focus is on:

• Responding to the evolving regulatory environment and helping to meet the firm s regulatory commitments by addressing internal and external commitments
• Advancing the firm s Roadmap programs -- Single Sourcing of data, Architecture Convergence, and Rationalization of Application Portfolio and Platforms
• Adopting industry leading technologies to support best-in-class business capabilities for high performance computing and data storage solutions
• Driving innovation across the firm s corporate technology portfolio, increasing efficiencies through process automation and Agile application development, with an emphasis on user experience and shorter development cycles
• Investing in security & controls for cyber, access/entitlements uplift, data protection and application resiliency

Controls & Operational Risk Technology supports - identification, assessment, and prioritization of risks followed by coordinated application of resources to minimize, monitor, and control the probability and/or impact of events.Tech at JPMC:When you work at JPMorgan Chase& Co., you re not just working at a global financial institution. You re an integral part of one of the world s biggest tech companies. In 14 technology hubs worldwide, our team of 40,000+ technologists design, build and deploy everything from enterprise technology initiatives to big data and mobile solutions, as well as innovations in electronic payments, cybersecurity, machine learning, and cloud development. Our $9.5B+ annual investment in technology enables us to hire people to create innovative solutions that will not only transform the financial services industry, but also change the world. Key Responsibilities

• Own the end-to-end production and delivery of machine learning and artificial intelligence solutions in support of the Control Management Organization
• Experiment, develop and productionize high quality machine learning models and services to improve system execution of operational risk related process reviews, risk & control assessments, and continuous metric driven targeted analyses
• Collaborate with business stakeholders, Controls and Operational Risk technology teams, and other JPMC machine learning teams around the firm
• Design and implement highly scalable and reliable data processing pipelines and perform analysis and insights to drive and optimize business result
• Develop domain expertise in the operational risk and control space with the ability to improve projects, determine solutions, and resolve issues
• Manage/participate in multiple project work-streams concurrently
• Utilize agile methodologies and adhere to coding standards, procedures and techniques while contributing to the technical code documentation
• Display efficient work style with attention to detail, organization, and strong sense of urgency

Minimum Qualifications

• BS or MS in a quantitative field, e.g. Machine Learning, Data Science, Computer Science, Statistics, Mathematics, Economics, Engineering, Physics, Astronomy, or related field
• 6+ years of relevant work experience
• 5+ years of experience with Python
• 4+ years of experience with data analysis tools (SQL, Alteryx, Splunk, Tableau, Python Pandas, Matplotlib, etc.)
• 3+ years of experience with machine learning frameworks (Scikit-learn, SciPy, TensorFlow, PyTorch, etc.)
• Experience with end-to-end SDLC (Git, Docker, Jenkins, etc.) including unit testing
• Experience with modern technology practices (agile, test driven development)
• Excellent written and verbal communications skills. Must be able to communicate with a wide variety of functional groups at various levels.
• Enthusiastic, self-motivated, effective under pressure and willing to take personal responsibility/accountability.
• Flexible, adaptable to shifting priorities; able to work in a fast-paced, results driven environment
• Effective time management and multitasking skills

Preferred Qualifications

• Experience with Natural Language Processing (NLP) (NLTK, spaCy, Gensim)
• Experience with cloud computing frameworks (Amazon Web Services (AWS), Google Cloud, Microsoft Azure)
• Knowledge of cloud computing SDLC and best practices (Containers, Docker, Kubernetes)
• Experience in big data technologies (Hadoop, Hive, Spark, Kafka)

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Keyskills :
javascriptdata sciencenatural language processinghigh performance computingagile application developmentsqljqueryweb servicessql serverjavabig data