Jul 3 2025AI ML Software Engineer - Vice President - Data Analytics Engineering Profile Description We re seeking someone to join our team as Vice President our Integrated Infrastructure Observability team as an AI ML Software Engineer in Enterprise Network Services to perform as the lead developer for the teams artificial intelligence and machine learning initiatives Enterprise Technology Enterprise Technology Services ETS delivers shared technology services for Morgan Stanley supporting all business applications and end users ETS provides capabilities for all stages of Morgan Stanley s software development lifecycle enabling productive coding functional and integration testing application releases and ongoing monitoring and support for over 3 000 production applications ETS also delivers all workplace technologies desktop mobile voice video productivity intranet internet in integrated configurations that boost the personal productivity of employees Application and end user functions are delivered on a scalable secure and reliable infrastructure composed of seamlessly integrated datacenter network compute cloud storage and database functions Enterprise Network Services Enterprise Network Services Enables Morgan Stanley Business Units and Technology partners with secure programmable resilient highly available network and voice services Data Analytics Engineering This is Vice President position that provides specialist data analysis and expertise that drive decision-making and business insights as well as crafting data pipelines implementing data models optimizing data processes for improved data accuracy and accessibility including applying machine learning and AI-based techniques 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 Enterprise Computing EC Enterprise Network Services Enables Morgan Stanley Business Units and Technology partners with secure programmable resilient highly available network and voice services Workplace Operations Support This is VP position that delivers efficient technical support and ensures smooth operations of the organization workplace environment for end-users including hardware software and network resources Contribute to the function through complex project tasks and initiatives Interact regularly with team members and occasionally leadership on a range of topics Lead the design and development of complex software systems and applications Architect solutions that meet performance scalability and security requirements Collaborate with stakeholders to define project roadmap and technical strategy Contribute to the evaluation and adoption of new tools and technologies Conduct code reviews debugging and performance tuning to ensure software quality and reliability Stay updated on emerging technologies trends and tools to drive innovation and continuous improvement What you ll bring to the role Bachelor s degree in computer science Engineering or a related field or equivalent experience At least 6 years relevant experience would generally be expected to find the skills required for this role Proficiency in at least one programming language such as Java Python or C Extensive experience in designing and implementing complex test scenarios Python coding programming skills Any of the relational database exp Machine learning AI ML NLP etc Ability to process information translate into plans and present summaries to stakeholders Experienced understanding of business line and discipline Ability to work well in a team environment and collaborate effectively Strong proficiency in software design and architecture Experience with large-scale distributed systems Expertise in performance optimization and scalability Ability to drive technical initiatives and provide leadership Excellent problem-solving and analytical 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 advantages 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 workplace 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

📌 Ai/ml Software Engineer - Vice President - Data & Analytics Engineering (Maharashtra)
🏢 Morgan Stanley
📍 Maharashtra