Morgan Stanley | Hiring | AI/ML Developer – (4 to 8 Years) | BigDataKB.com | 27-Jan-22

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    Bangalore

    AI/ML Developer – (4 to 8 Years)

    Job Number:

    3197856

    POSTING DATE: Jan 21, 2022
    PRIMARY LOCATION: Non-Japan Asia-India-Karnataka-Bengaluru
    EDUCATION LEVEL: Bachelor’s Degree
    JOB: Development
    EMPLOYMENT TYPE: Full Time
    JOB LEVEL: Associate

    DESCRIPTION

    Company Profile
    Morgan Stanley is a leading global financial services firm providing a wide range of investment banking, securities, wealth management and investment management services. With offices in more than 41 countries, the Firm’s employees serve clients worldwide including corporations, governments, institutions and individuals. For further information about Morgan Stanley, please visit www.morganstanley.com.
    Wealth Management Technology
    Wealth Management Technology is responsible for the design, development, delivery, and support of the technical solutions behind the products and services used by the Morgan Stanley Wealth Management Business. Practice areas include: Analytics, Intelligence, & Data Technology (AIDT), Client Platforms, Core Technology Services (CTS), Financial Advisor Platforms, Global Banking Technology (GBT), Investment Solutions Technology (IST), Institutional Wealth and Corporate Solutions Technology (IWCST), Technology Delivery Management (TDM), User Experience (UX), and the CAO team.
    Job Profile
    We are seeking a Machine Learning Engineer with expertise in design and development of data and ML centric applications at scale. The right candidate would have a background in data engineering and requisite familiarity and experience working with Machine learning (ML) algorithms and Frameworks. The role is a confluence of engineering (programming), ML and data analysis. Knowledge of Data Science is a plus. This position is for the Cyber Analytics team which is part of Artificial Intelligence and Knowledge Management group within Morgan Stanley Wealth Management. The team is comprised of members located in NY-United States, Mumbai-India and Bengaluru-India. The team partners with various businesses and IT groups within firm to develop analytics and ML powered solutions aimed at cyber-security and vulnerability detection / assessment. The team accumulates data from a variety of internal and external upstream systems in order to develop statistics, models, dashboards and metrics for the Technology Risk team.
    The right candidate has (Responsibilities);

    • Design and Build distributed, scalable, and reliable data pipelines that ingest and process data at scale and in real-time
    • Explore new data sources and data. Select appropriate datasets and their representation methods. Perform data analysis (statistical and otherwise), to derive inferences from data
    • Design machine learning systems, and oversee the platform on which the solutions would be deployed
    • Evaluate state-of-art data-centric technologies and prototype solutions to improve our architecture and platform
    • Ensure data integrity through – Data quality, validation, Governance and Transparency
    • Create ML model training, validation and hyper-parameter search pipelines
    • Production deployment and Model monitoring to ensure stable performance and adherence to standards
    • Understand data visualization to create meaningful dashboards for end-users

    QUALIFICATIONS

    Skill Set

    • Experienced professional with 4-8 years of experience working in big data ecosystem – Hadoop, Spark, Kafka, HBase, Hive / Impala and distributed computing
    • Experience in architecture, design and implementation of data intensive applications for practical use-cases
    • Proficiency with Scala / Python and basic libraries for machine learning such as scikit-learn, pandas, deep-learning (PyTorch / Keras / Tensorflow)
    • Proficiency in data analysis using complex and optimized SQL and / or above mentioned technologies
    • Expertise in visualizing large datasets in an efficient manner
    • Understanding of data structures, data modeling and software architecture
    • Ability to work in fast paced and dynamic environment
    • Good written and verbal communication skills

    Good to Have Skills

    • In-depth understanding of Machine Learning and Statistics, in addition to above
    • Experience in domains – Finance and Cyber-security
    • Tableau for data visualization
    • Experience working in an Agile environment

    Apply Here

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