AI/ML Engineering _Director_Software Engineering

Profile Description

We’re seeking someone to join our team as (Director) who can partner with the Advanced analytics, Machine learning and Platform team(s), across multiple project areas, and work in collaboration with team(s) in India & NY. The individual would be response for end-to-end development and operationalization of cross-system data flows, data stores and distributed applications for Analytics, AIML and Visualization. The person would also be part of the overall cloud adoption and engineering roadmap and ensure scalable, agile and robust architecture and implementation. Additionally, should be able to work in a dynamic environment with limited or no supervision and should be able to knowledge-share across other team members. Should be comfortable and manage time working with global team on multiple initiatives.

Wm_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.

Analytics Intelligence & Data Technology

Analytics, Intelligence and Data Technology (AIDT) enables and drives strategic data initiatives and business capabilities across Wealth Management.

Software Engineering

This is Director position that develops and maintains software solutions that support business needs.

Morgan Stanley is an industry leader in financial services, known for mobilizing capital to help governments, corporations, institutions, and individuals around the world achieve their financial goals.

At Morgan Stanley India, we support the Firm’s global businesses, with critical presence across Institutional Securities, Wealth Management, and Investment management, as well as in the Firm’s infrastructure functions of Technology, Operations, Finance, Risk Management, Legal and Corporate & Enterprise Services. Morgan Stanley has been rooted in India since 1993, with campuses in both Mumbai and Bengaluru. We empower our multi-faceted and talented teams to advance their careers and make a global impact on the business. For those who show passion and grit in their work, there’s ample opportunity to move across the businesses for those who show passion and grit in their work.

Interested in joining a team that’s eager to create, innovate and make an impact on the world? Read on…

What you’ll do in the role:

•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 analyze 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 modeling 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 of data and models
•Define and Implement metrics to monitor data flow performance as well as optimize when necessary
•Evaluate state-of-art AIML and Analytics centric technologies and prototype solutions to improve our architecture and platform
•Explore new data sources and data from new domains

What you’ll bring to the role:

• 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.
• GenAI Stack Langchain, RAG , Agentic Frameworks always a plus
• Good written and verbal communication skills

WHAT YOU CAN EXPECT FROM MORGAN STANLEY:

We are committed to maintaining the first-class service and high standard of excellence that have defined Morgan Stanley for over 89 years. Our values - putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back - aren’t just beliefs, they guide the decisions we make every day to do what's best for our clients, communities and more than 80,000 employees in 1,200 offices across 42 countries. At Morgan Stanley, you’ll find an opportunity to work alongside the best and the brightest, in an environment where you are supported and empowered. Our teams are relentless collaborators and creative thinkers, fueled by their diverse backgrounds and experiences. We are proud to support our employees and their families at every point along their work-life journey, offering some of the most attractive and comprehensive employee benefits and perks in the industry. There’s also ample opportunity to move about the business for those who show passion and grit in their work.

To learn more about our offices across the globe, please copy and paste https://www.morganstanley.com/about-us/global-offices​ into your browser.

Morgan Stanley is an equal opportunities employer. We work to provide a supportive and inclusive environment where all individuals can maximize their full potential. Our skilled and creative workforce is comprised of individuals drawn from a broad cross section of the global communities in which we operate and who reflect a variety of backgrounds, talents, perspectives, and experiences. Our strong commitment to a culture of inclusion is evident through our constant focus on recruiting, developing, and advancing individuals based on their skills and talents.