Demo

Lead Machine Learning / LLM Developer

Morgan Stanley
Alpharetta, GA Full Time
POSTED ON 4/26/2025
AVAILABLE BEFORE 6/26/2025

Job Details

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. This is a Lead Software Engineering position at Director level, which is part of the job family responsible for developing and maintaining software solutions that support business needs.
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.

Our WM business is one of the largest in the world with more than $2 trillion in client assets, $73 billion in lending balances, and nearly 16,000 Financial Advisors in 600 offices across the U.S. Our Financial Advisors focus on delivering timely, customized solutions and services that help clients meet their financial and life goals. Our offering includes brokerage and investment advisory services, financial and wealth planning, access to credit and lending, cash management, annuities and insurance, and retirement services.

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. Morgan Stanley can provide a superior foundation for building a professional career - a place for people to learn, to achieve and grow. A philosophy that balances personal lifestyles, perspectives and needs is an important part of our culture.

Services Tech is a dynamic and fast-paced area within the Firm's WM Technology Division. We are responsible for creating innovative technology solutions for the Digital Business Automation(DBA), one of the strategic growth areas of the Firm, providing document management, workflow and services to our WM clients. This includes state-of-the-art technology for a nationwide network of Private Bankers and product specialists who work with Financial Advisors to provide access to products and services such as online banking, cards, deposit products, residential mortgages, securities-based loans and tailored lending. If you are an exceptional individual who is interested in solving complex problems and building sophisticated solutions in a dynamic team environment, Services Tech is the place for you.

What you'll do in the role:
  • Collaboratively Work with Chapter lead, product owners, scrum masters and testing team to deliver business requirements.
  • Participate in scrum meeting, chapter meeting and fleet meeting
  • Create highly optimized, scalable, redundant, and distributed software Deliver manageable, modular code, along with automated tests
  • Work with geographically dispersed teams (NYC, Alpharetta, Mumbai, and Bangalore).
  • Perform code reviews on server-side code
  • Help release and maintain code as well as address production issues
  • Implementing DevOps tools and practice
  • Writing unit tests Magic mock

What you'll bring to the role:
  • Total 10 years' experience in Information technology
  • 8 years of hand on experience in AI/ML
  • 2 years of experience working in Large Language Models including prompt management.
  • 5 years hands on experience in Python.
  • Experience in rest services and messaging
  • Experience in Machine learning libraries: TensorFlow, Keras, PyTorch, Hugging Face, PySpark, OpenCV, Scikit-learn, NumPy, Matplotlib, Seaborn, Pandas, SciPy, NLP Libraries such as NLTK, SpaCy, HF Transformers, LightGBM, XGBoost
  • Experience in MLOps Tools: TensorFlow Extended (TFX), PyTorch Serve, MLflow, Kubeflow, Docker, Kubernetes, Apache Airflow, DVC
  • Experience in Agile and DevOps practices
  • Strong communication, organizational, and collaboration skills.
  • Demonstrates exceptional analytical and problem-solving skills.
  • Development experience building high volume systems
  • Experience in working on large and medium scale projects in agile environment
  • Experience with task management tools such as JIRA.
  • Competency with source control (preferably Git) and Continuous Integration tools such as Jenkins or Teamcity.

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.

Expected base pay rates for the role will be between $109,000 and $175,000 per year at the commencement of employment. However, base pay if hired will be determined on an individualized basis and is only part of the total compensation package, which, depending on the position, may also include commission earnings, incentive compensation, discretionary bonuses, other short and long-term incentive packages, and other Morgan Stanley sponsored benefit programs.

Morgan Stanley's goal is to build and maintain a workforce that is diverse in experience and background but uniform in reflecting our standards of integrity and excellence. Consequently, our recruiting efforts reflect our desire to attract and retain the best and brightest from all talent pools. We want to be the first choice for prospective employees.

It is the policy of the Firm to ensure equal employment opportunity without discrimination or harassment on the basis of race, color, religion, creed, age, sex, sex stereotype, gender, gender identity or expression, transgender, sexual orientation, national origin, citizenship, disability, marital and civil partnership/union status, pregnancy, veteran or military service status, genetic information, or any other characteristic protected by law.

Morgan Stanley is an equal opportunity employer committed to diversifying its workforce (M/F/Disability/Vet).
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Salary : $109,000 - $175,000

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