Morgan Stanley

Senior Manager_ Senior Generative AI Engineer - Investment Management(Parametric)_Mumbai

Remote Mumbai, India
PyTorch TensorFlow API Microservices Git AWS Docker Terraform Python
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Description

ABOUT MORGAN STANLEY


Morgan Stanley is a leading global financial services firm providing a wide range of investment banking, securities, wealth management and investment management services. With offices in more than 41 countries, the Firm's employees serve clients worldwide including corporations, governments, institutions and individuals. For further information about Morgan Stanley, please visit www.morganstanley.com.

ABOUT PARAMETRIC


Parametric is part of Morgan Stanley Investment Management, the asset management division of Morgan Stanley. We partner with advisors, institutions, and consultants to build portfolios focused on what's important to them and their clients. A leader in custom solutions for more than 30 years, we help investors access efficient market exposures, solve implementation challenges, and design multi-asset portfolios that respond to their evolving needs. We also offer systematic alpha and alternative strategies to complement clients' core holdings.

This role is part of Parametric's hybrid working model, which includes working in the office 2-3 days a week and choosing to work remotely or in the office the remaining days of the week.

ABOUT THE TEAM

The Core Services team at Parametric:

  • Our team is focused on building Parametric's Radius platform. Radius is the centralized next generation cloud native platform for Parametric. It is built from the ground up to account for cloud scale and growth.
  • Sitting alongside the core Radius data services are shared platform components to facilitate communication and workflows across service domains and allow for more sophisticated integration patterns.

ABOUT THE ROLE 


We seek individuals with a strong curiosity and passion for learning new things while continuously challenging themselves to build things better and more scalable.

As a Senior Generative AI Engineer, you will use ML and generative AI foundation models, including OpenAI, Llama, and other technologies, to design and implement state-of-the-art solutions. Your passion for designing and building cloud-hosted generative AI solutions will help drive successful business outcomes across a broad set of customers. 
You will have responsibility to help define requirements, create solution designs, implement code to specifications, and support solutions while deployed and used by our industry customers.

PRIMARY RESPONSIBILITIES

  • Interact with customers directly to understand the business problem, help and aid them in implementation of their generative AI solutions.
  • Effective communication skills with business users and other developers.
  • Conduct code reviews of other developers working on generative AI solutions.
  • Implement and manage cloud deployments using AWS services, ensuring high availability and scalability.
  • Design, develop and maintain GenAI applications that utilize prompt engineering and finetuning.
  • Maintain and enhance existing applications to improve performance and user experience.

SKILL SET
Required Experience: 7+ years
Skill set: Python, REST, PyTorch, Tensorflow, LLM APIs / OpenAI, Prompt Engineering, Docker

Primary Skills:

  • Bachelor's degree in Computer Science or related area of study.
  • 7+ years of hands-on development experience managing all aspects of technical projects with a proven track record of delivering well architected and well written software solutions.
  • 5+ Years of hands-on Python software design and development experience.
  • Cloud native development experience a plus: AWS is preferred, but not required.
  • Understanding of micro-services architecture/containerization.
  • Familiarity with GIT version control system.
  • Working experience with Agile development.
  • Design and develop AI models using prompt engineering techniques for optimal performance.
  • Conduct model fine-tuning and testing to meet specific application requirements.
  • Develop and manage deployment pipelines for AI models, ensuring seamless integration and scalability.

Good to Have Skills:

  • Knowledge of AWS tools such as ECS and EC2.
  • Knowledge of Terraform.
  • Knowledge of Gitlab Pipelines.

    Parametric believes each member of our organization makes a significant contribution to our success. That contribution should not be limited by the assigned responsibilities. Therefore, this job description is designed to outline primary duties and qualifications. It is our expectation that every member of our team will offer his/her/their services wherever and whenever necessary to ensure the success of our client services.

    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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