AIML EngineerDirectorSoftware Engineering
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Monthly Salary:
Posted on:
30+ days ago
Vacancies:
1 Vacancy
Job Summary
Profile Description
Were 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.
What youll 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 youll bring to the role:
At least 4 years relevant experience would generally be expected to find the skills required for this role with Bachelors/Masters 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.
GenAI Stack Langchain RAG Agentic Frameworks always a plus
Good written and verbal communication skills
WHAT YOU CAN EXPECT FROM MORGAN STANLEY:
At Morgan Stanley we raise manage and allocate capital for our clients helping them reach their goals. We do it in a way thats differentiated and weve done that for 90 years. Our values - putting clients first doing the right thing leading with exceptional ideas committing to diversity and inclusion and giving back - arent just beliefs they guide the decisions we make every day to do whats best for our clients communities and more than 80000 employees in 1200 offices across 42 countries. At Morgan Stanley youll 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. Theres also ample opportunity to move about the business for those who show passion and grit in their work.
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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.
Required Experience:
Director
Key Skills
About Company
Morgan Stanley is a leading global financial services firm providing a wide range of investment banking, securities, investment management and wealth management services. The Firm's employees serve clients worldwide including corporations, governments and individuals from more than 1, ... View more
