Morgan Stanley

AI Applied Research Engineer_Assciate_Data & Analytics Engineering

Posted On

March 26, 2025

Location

Bengaluru, Karnataka

Experience Level

Freshers/Experienced

Job Type

Permanent

Apply By

May 28, 2025

Job Description

Profile Description

We’re seeking someone to join our team as (Associate ) AI Research Developer 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.

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 a Associate 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:

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:

At least 4 years’ relevant experience would generally be expected to find the skills required for this 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, data bricks
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.

Desired Skills

Experience working with cloud providers, preferably Azure, but also AWS, GCP.
Understanding of model optimization like quantization, pruning techniques.
Understanding of knowledge graphs, GraphRAG, etc.
Experience with managing AI workloads in Azure AI Studio, Azure Cognitive Services, 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 ModelOps/ ML Ops/ LLM Ops

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.

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.

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Job Description

Profile Description

Enterprise_Technology

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

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.

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:

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:

At least 4 years’ relevant experience would generally be expected to find the skills required for this 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, data bricks

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.

Desired Skills

Experience working with cloud providers, preferably Azure, but also AWS, GCP.

Understanding of model optimization like quantization, pruning techniques.

Understanding of knowledge graphs, GraphRAG, etc.

Experience with managing AI workloads in Azure AI Studio, Azure Cognitive Services, 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 ModelOps/ ML Ops/ LLM Ops

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