Machine Learning Engineer

Job Description

*About UsMorgan Stanley is a leading global financial services firm providing a wide range of investment banking, securities, investment management and wealth management services. We advise, originate, trade, manage and distribute capital for governments, institutions and individuals. As a market leader, the talent and passion of our people is critical to our success. Together, we share a common set of values rooted in integrity, excellence and strong team ethic. We provide you a superior foundation for building a professional career where you can learn, achieve and grow.Technology/Role/Department at Morgan Stanley Technology is the key differentiator that ensures that we manage our global businesses and serve clients on a market leading platform that is resilient, safe, efficient, smart, fast and flexible. Technology redefines how we do business in global, complex and dynamic financial markets. We have a large number of award winning technology platforms that help to propel our Firm s businesses to be the top in the market. Our India technology teams are based in Mumbai and Bengaluru. We have built strong techno-functional teams which partner with our offices globally taking global ownership of systems and products. We have a vibrant and diverse mix of technologists working on different technologies and functional domains. There is a large focus on innovation, inclusion, giving back to the community and sharing knowledge.Wealth Management Technology (WMIMT) is responsible for the design, development, delivery, and support of the technical platform behind the products and services used by the Business. Morgan Stanley Wealth Management (WM) is a product of the acquisition of Smith Barney from Citigroup, which was completed in June 13. Its core client base is individual investors, small- to medium-size businesses and institutions, and high net worth families and individuals. In the second half of 14, WM reached a milestone, with its business having surpassed $2 trillion in total client assets.We are seeking a Senior Machine Learning Engineer with expertise in design and development of data and ML centric applications at scale. The right candidate should have a background in Data science, working with Machine learning algorithms and frameworks and requisite experience developing data engineering pipelines. The role is a confluence of ML and data analysis and data engineering (programming). This position is for the Wealth Management Network 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 Network security applications including, but not limited to Network device profiling, anomaly detection, malicious activity detection, spatial and temporal graph analytics. The team accumulates data from a variety of internal and external network components in order to develop statistics, models, dashboards and metrics for the Wealth Management Cyber organization.The right candidate has (Responsibilities)Create advanced analytics and machine learning driven solutions for varying data volumes, data types and formats. Design machine learning systems, and oversee the platform on which the solutions would be deployedDesign and Build distributed, scalable, and reliable data pipelines that ingest and process data at scale and in real-timeWork with business and cybersecurity team SME to understand requirements and develop relevant solutions. Create presentations / visualizations for the leadership and business that would be able to explain complex outcomes and emphasize business impact.Understand computer networks domain and conduct exhaustive literature survey to identify new threats, state-of-art techniques and ML applicationsEnsure data integrity through Data quality, validation, Governance and TransparencyExplore new data sources and data. Select appropriate datasets and their representation methods. Perform data analysis (statistical and otherwise), to derive inferences from dataProduction deployment and Model monitoring to ensure stable performance and adherence to standardsEvaluate state-of-art data-centric technologies and prototype solutions to improve our architecture and platformLead data science and engineering team in a distributed agile framework, *Primary skillsExperienced professional with 7-10 years of experience developing and implementing ML models in Big data ecosystem i.e. Hadoop, Spark, Kafka, HBase, Hive / Impala, Cassandra, MongoDB or any other similar distributed computing technologyExpertise in applied Machine learning and statistical modeling techniques in Python / Java / Scala. Experience using ML platforms such as Dataiku / Databricks is a plus.Expertise in at least one Programming language Python / Java / ScalaProficiency in data analysis using complex and optimized SQL and / or above mentioned technologiesExpertise in visualizing large datasets and developing articulate dashboards in an efficient mannerProficiency in domains Network analytics and Cybersecurity is a plusPeople and stakeholder management experience and excellent organizational skills and follow-throughAbility to work in fast paced, dynamic and geographically distributed environmentGood written and verbal communication skillsGood to have skills In-depth understanding of Machine Learning and Statistics, in addition to abovePractical knowledge of Natural Language Processing (NLP) and/or Neural network implementationDeep learning algorithms and applications

Keyskills :
natural language processingbig datadata sciencedata qualitydata analysisdeep learningdata integritynetwork securitymachine learningnatural languagedata engineeringwealth management