E*TRADE from Morgan Stanley · 9 hours ago
AI/ ML Ops Engineer
New York, New York, United States of America
Full-time
Onsite
Director/Executive
$120K/yr - $165K/yrE*TRADE from Morgan Stanley is a leading global financial services firm known for mobilizing capital to help clients achieve their financial goals. The role involves end-to-end development and operationalization of cross-system data flows and distributed applications for Analytics, AIML, and Visualization, while collaborating with teams in India and New York.
BankingFinanceFinancial Services
Responsibilities
Design, Implement and Operationalize distributed, scalable, and reliable data flows that ingest, process, store, and access data at scale in batch / real-time
Develop distributed applications on-prem as well as on Cloud that scale to serve analytics, rules, web-applications, ML models and Visualizations for end-users
Partner with Analytics and AIML teams to develop and analyse features at scale. Provide SME level interface for team members to optimize their workflows, streamline operationalization and reduce time-to-market
Contribute to metadata management, Data modelling and documentation
Contribute to adoption of CI/CD, Data Ops and ML Ops practices within Data analytics, AIML and Visualization domains
Develop libraries to ease development, monitoring and control
Qualification
Required
Minimum B.E./B.Tech degree in Computer Science, Engineering, or a related field
Experience working towards design, architecture, development, and operationalization of data flows across Hadoop eco-system, Spark (Databricks or otherwise), Snowflake and Cloud platform(s)
Understanding of applied Machine Learning (End-to-End) Lifecycle and Operationalizing AIML models in Production (MLOps)
Experience working on cloud platforms - Azure (Databricks, Snowflake), AWS, and their respective offerings
Experience in developing Large scale Distributed data-driven applications leveraging technologies defined above
Experience and understanding across key SQL and NoSQL datastores - HDFS, S3, Snowflake, MongoDB, Splunk as well as In-memory datastores
Proven understanding of the overall Data and Model deployment lifecycle and processing pipelines including orchestration, workflow scheduling tools, monitoring, optimization
Programming Languages - Expertise in Python, Advanced SQL, and Shell (Scripting)
Expertise in Data analytics and Data wrangling through complex and optimized Python / Spark / SQL
Ability to work in Fast paced and Dynamic environment
Good written and verbal communication skills
Preferred
GenAI Stack Langchain, RAG , Agentic Frameworks is always a plus
Benefits
Incentive compensation
Discretionary bonuses
Other short and long-term incentive packages
Other Morgan Stanley sponsored benefit programs
Company
E*TRADE from Morgan Stanley
E*TRADE from Morgan Stanley is a pioneer in the online brokerage industry.
Founded in 1982
1001-5000 employees
H1B Sponsorship
E*TRADE from Morgan Stanley has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2020 (3)
Funding
Current Stage
Public CompanyTotal Funding
unknown2020-02-20Acquired
1996-08-16IPO
Leadership Team
Julia Miller
Executive Director, Creative Services
Recent News
2025-11-07
2025-10-14
Company data provided by crunchbase