Morgan Stanley

Executive Director - Communications (Technology Management)

Bengaluru, India
AWS SQL Deep Learning Machine Learning TensorFlow GCP Python PyTorch Azure
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Description

About Us

Morgan Stanley is a leading global financial services firm providing a wide range of investment banking, securities, investment management and wealth management services. We advise, originate, trade, manage and distribute capital for governments, institutions and individuals. As a market leader, the talent and passion of our people is critical to our success. Together, we share a common set of values rooted in integrity, excellence and strong team ethic. We provide you a superior foundation for building a professional career where you can learn, achieve and grow.

Technology

Technology is the key differentiator that ensures that we manage our global businesses and serve clients on a market-leading platform that is resilient, safe, efficient, smart, fast and flexible. Technology redefines how we do business in global, complex and dynamic financial markets. We have a large number of award-winning technology platforms that help to propel our Firm's businesses to be the top in the market. We have built strong techno-functional teams which partner with our offices globally taking global ownership of systems and products. We have a vibrant and diverse mix of technologists working on different technologies and functional domains. There is a large focus on innovation, inclusion, giving back to the community and sharing knowledge.

Technology Architecture and Modernization

Technology Architecture & Modernization (A+M) unites a highly inter-connected set of functions in a pivotal role driving the over-arching technical framework, product delivery and developer enablement teams at the center of Morgan Stanley's technology strategy. Combining efforts to modernize technologies, architecture and development practices, A+M drives the Firm's multi-year Technology Modernization roadmap to more effective and innovative technology platforms, enabling our business to serve evolving client demands in a highly competitive industry.

As the group expands and matures, we continue to add top technical talent, experienced professionals driven by the pursuit of engineering excellence, looking for complex and challenging technology roles with impact, visibility and unparalleled opportunities to work across Technology in multi-disciplinary collaboration with high performing teams, including our Distinguished Engineers.

Role Description

Morgan Stanley has been at the forefront of the AI journey with applications such as Genome and AI@MS Assistant that use AI to provide better, personalized advice to our clients. Generative AI provides unique opportunities to provide new capabilities to the firm's internal users as well as our clients.

This role is for a senior Technical Lead who will help lead a team of engineers to build a firmwide AI Development Platform and drive adoption of AI capabilities throughout the enterprise. The ideal candidate will have strong knowledge of platform architecture and engineering, data engineering and AIML capabilities including Generative AI. A strong understanding of the overall capabilities required to successfully deploy AI/ ML applications such as AI/ ML models, cloud service provider capabilities, 3rd party vendor capabilities, MLOps / LLMOps, vector databases etc. is a key requirement. The candidate will have a passion for helping our users deploy AI to increase productivity as well as help generate new ideas for product improvements.

Primary responsibilities

  • Partner with business application teams to understand their requirements for Generative AI
  • Have a platform mindset and drive common, reusable solutions to scale Generative AI use cases
  • Work with the product owner and the engineering team to deliver the vision of the platform
  • Work with the engineering team to deliver tooling and self-service capabilities for AI solutions
  • Collaborate with users on the developer experience when building and deploying AI applications
  • Build a strong SRE culture to manage and scale a large platform with thousands of users
  • Contribute to major design decisions and product selection (build vs buy, 3rd party Vendor vs Open Source etc.) for building Generative AI solutions

Required Skills

  • Understanding of the AIML domain in general, latest developments and trends in Generative AI
  • Understanding of AIML capabilities on the major cloud providers Strong hands on Application
  • Experience building products with multiple users in an enterprise setting
  • Development background in atleast one prominent programming language, preferably Python
  • Experience with Information Security, concepts such as Defense in depth and zero trust
  • Demonstrated experience in DevOps, understanding of CI/ CD.
  • Understanding of ML Ops/ LLM Ops
  • Ability to articulate technical concepts effectively to diverse audiences
  • Demonstrated ability to work effectively in a global organization and across time zones
  • Experience working in a large regulated industry such as Financial Services, Insurance etc.

Desired Skills

  • Understanding of how deep learning, neural networks works, difference between AI and ML
  • Understanding of Machine Learning frameworks such as TensorFlow or PyTorch
  • Experience working with cloud providers, preferably Azure, but also AWS, GCP 
  • Broad understanding of data engineering (SQL, NoSQL, Big Data), data governance, data privacy
  • Understanding of Responsible AI, AI Ethics

Qualifications

  • Bachelor's or Master's degree in Computer Science or related field, or equivalent job experience
  • 12+ years of experience in software development or related field

EOE M/F/D/V Committed to Diversity

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.

Morgan Stanley
Morgan Stanley
Asset Management Finance Financial Services Lending

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