Vice President_Applied AI Research Engineer_Data & Analytics Engineering

Super Dept

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.

Job Family

This is a 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...

About role:

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 an applied AI Research engineer who will help with deep expertise on AI models, benchmarking & evaluation, advanced usage patterns, domain-adaptation, optimization and contribute towards firmwide AI Development Platform that will aid the adoption of AI capabilities throughout the enterprise. The ideal candidate will have strong hands-on experience and drive towards understanding, experimenting and adapting leading research work on AI approaches for organization's prioritized AI challenges esp. in the generative AI domain. The candidate will have a strong passion for using AI to increase productivity as well as help generate new ideas for product improvements. This role requires a strong knowledge and experience on deep learning, contemporary model architectures and a strong drive to solve real-world problems with AI techniques. The successful candidate must be able to demonstrate deep AI technology expertise with a track record of developing, adapting and optimizing AI models.

What you'll do in the role:

• Benchmarking of different open/closed AI models for different AI tasks.
• Study and experiment with top research papers and associated code for different AI tasks e.g. ASR, TTS, NER, embedding generation, SLMs, VLM, tools usage, planning, orchestration, guardrails, evaluation, etc.
• Develop prototype to demonstrate model capabilities, advanced usage patterns.
• Fine-tune smaller models for benchmarking on specific domains and evaluation.
• Collaborate with AI engineers to bring potential work to the platform.

What you'll bring to the role:

• Strong hands-on proficiency in Python and machine learning specific libraries like numpy, opencv, scikit-learn, pandas, matplotlib, seaborn, etc.
• Strong expertise in deep learning, its mathematical foundations, frameworks such as TensorFlow or PyTorch.
• Hands-on understanding of transfer learning, fine-tuning of deep learning models esp. contemporary language models, speech processing models, retrieval models, etc.
• Experience with NLP and basic understanding of other AI domains like computer vision, Speech processing, reinforcement learning, etc.
• Understanding of AI/ML Lifecycle and basic understanding of systems like mlflow, Dataiku, databricks.
• Strong desire and ability to influence development teams and help them adopt AI
• Demonstrated ability to work effectively in a global organization and across time zones

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 85 years. At our foundation are five core values - putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back - that guide our more than 80,000 employees in 1,200 offices across 42 countries. At Morgan Stanley, you'll find trusted colleagues, committed mentors and a culture that values diverse perspectives, individual intellect and cross-collaboration. Our Firm is differentiated by the caliber of our diverse team, while our company culture and commitment to inclusion define our legacy and shape our future, helping to strengthen our business and bring value to clients around the world. Learn more about how we put this commitment to action: 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.

Morgan Stanley is an equal opportunities employer. We work to provide a supportive and inclusive environment where all individuals can maximise 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.

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 85 years. At our foundation are five core values - putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back - that guide our more than 80,000 employees in 1,200 offices across 42 countries. At Morgan Stanley, you'll find trusted colleagues, committed mentors and a culture that values diverse perspectives, individual intellect and cross-collaboration. We Firm is differentiated by the caliber of our diverse team. While our company culture and commitment to inclusion define our legacy and shape our future, helping to strengthen our business and bring value to clients around the world. Learn more about how we put this commitment to action: morganstanley.com/diversity. 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.

We're committed to bringing passion and customer focus to the business.

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.