Principal Data & Analytics Eng - Vice President - Data & Analytics Engineering

Principal  Data & Analytics Eng - Vice President  - Data & Analytics Engineering

Profile Description

We’re seeking someone to join our team as Vice President as a Data & Analytics Engineering.  Our mission is to develop a firmwide Artificial Intelligence (AI) Development Platform that aligns with the firm's Technology principles and drives efficiency and consistency, controls, security and strong governance and promotes innovation, enabling teams to build applications that leverage AI capabilities and accelerate the adoption of AI across our businesses. 

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.

Architecture & Modernization

Architecture & Modernization Drives development of the global firm strategy to define modern architectures and guardrails to reduce legacy debt, while partnering with app dev to accelerate the adoption of modern capabilities

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:

This role is for a solution engineering specialist to work with GenAI application owners to adopt GenAI platform capabilities and develop patterns and best practices to enable GenAI application adoption at scale.  The ideal candidate will have strong knowledge and experience on deep learning, contemporary model architectures and a strong drive to solve real-world problems with AI techniques. They will have hands-on experience developing GenAI applications and can leverage their expertise to enable firmwide developers to adopt AI techniques at scale through documentation, consultation, and collaborative Proof of Concept  and sample code development.
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.

• Build Proof of Concepts and example code through which developers can leverage GenAI models to solve common problems or patterns to enable GenAI adoption at scale
• Develop prototypes to demonstrate model capabilities, advanced usage patterns.
• Collaborate with AI engineers to prioritize capabilities for firmwide platform roadmap.
• Author best practices on the Generative AI ecosystem, when to use which tools, available models such as GPT, Llama, Hugging Face etc. and libraries such as Langchain, and Sematic Kernel.
• Troubleshoot customer adoption of genAI platform capabilities; update user documentation and provide feedback to platform engineering teams to improve future customer experience.
• This is a customer-facing role and excellent soft communications skills are mandatory.
• Have an application developer mindset and build common, reusable solutions to scale Generative AI use cases using pre-trained models as well as fine-tuned models.

What you’ll bring to the role:

• Bachelor's or a master's degree in computer science or related field, or equivalent job experience
• 8 - 12 years of experience in software engineering, design, and development
• At least 8 years' relevant experience would generally be expected to find the skills required for this role
• Experience developing GenAI applications.
• Strong hands-on proficiency in Python and machine learning specific libraries like numpy, opencv, scikit-learn, pandas, matplotlib, seaborn, etc.
• Understanding of AI/ML Lifecycle and basic understanding of systems like mlflow, Dataiku,  databricks.
• Broad understanding of data engineering (SQL, NoSQL, Big Data), data governance, data privacy and security.
• Experience working with cloud providers, preferably Azure, but also AWS, GCP.
• Experience building applications using AI development services on prominent cloud platforms such as Azure Open AI, Azure AI Foundry, Azure Search, Azure Cognitive Services, AWS Bedrock, AWS Sagemaker, Google Vertex AI
• Experience working in a large, regulated industry such as Financial Services, Insurance etc.
• Experience building AI applications, preferably Generative AI and LLM based apps.
  Experience working with Generative AI development, embeddings, fine tuning of Generative AI models.
• Understanding of Model Ops/ ML Ops/ LLM Ops
• Demonstrated experience in DevOps, understanding of CI/ CD.  Hands on experience with managing code in code repositories such as Bit Bucket and GitHub.
• Understanding of how deep learning works, understanding of Machine Learning frameworks such as TensorFlow or PyTorch.
• Ability to articulate technical concepts effectively to diverse audiences. Excellent communication skills.
• Strong desire and ability to influence development teams and help them adopt AI.
• Demonstrated ability to work effectively and collaboratively in a global organization, across time zones, and across organizations.
• Experience working with application development teams to enable them to build AI based applications.
• Ability to create code samples to be shared with application teams.

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.