AI/ML Engineer_Director_Software Engineering

Morgan Stanley • Campus, IL

1d

About The Position

We’re seeking someone to join our WM Technology team as a AI/ML Developer, in Analytics Intelligence & Data Technology to in 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. In the Technology division, we leverage innovation to build the connections and capabilities that power our Firm, enabling our clients and colleagues to redefine markets and shape the future of our communities. This is Associate position that manages and optimizes the technical environment and end-user experience across various workplace technologies for end-users, ensuring seamless operations and user satisfaction across the organization. Since 1935, Morgan Stanley is known as a global leader in financial services, always evolving and innovating to better serve our clients and our communities in more than 40 countries around the world.

Requirements

• At least 4 years' relevant experience would generally be expected to find the skills required for this role with Bachelor's/Master's Degree in Computer Science, Information Systems or 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

Nice To Haves

• GenAI Stack Langchain, RAG , Agentic Frameworks always a plus

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 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 This Job Offers

• Job Type: Full-time
• Career Level: Mid Level