[High Salary] Data Scientist II

Job Description

Job Description:

About Us

At Bank of America, we are guided by a common purpose to help make financial lives better through the power of every connection. Responsible Growth is how we run our company and how we deliver for our clients, teammates, communities, and shareholders every day.

One of the keys to driving Responsible Growth is being a great place to work for our teammates around the world. We're devoted to being a diverse and inclusive workplace for everyone. We hire individuals with a broad range of backgrounds and experiences and invest heavily in our teammates and their families by offering competitive benefits to support their physical, emotional, and financial well-being.

Bank of America believes both in the importance of working together and offering flexibility to our employees. We use a multi-faceted approach for flexibility, depending on the various roles in our organization.

Working at Bank of America will give you a great career with opportunities to learn, grow and make an impact, along with the power to make a difference. Join us

Global Business Services

Global Business Services delivers Technology and Operations capabilities to Lines of Business and Staff Support Functions of Bank of America through a centrally managed, globally integrated delivery model and globally resilient operations.

Global Business Services is recognized for flawless execution, sound risk management, operational resiliency, operational excellence, and innovation.

In India, we are present in five locations and operate as BA Continuum India Private Limited (BACI), a non-banking subsidiary of Bank of America Corporation and the operating company for India operations of Global Business Services.

Process Overview:

Global Markets Generative AI technology team enables use of Generative AI within Global Markets.

Generative AI presents an exciting opportunity to derive valuable insights from data and to drive revenue growth, efficiencies, and improved business processes.

GenAI Technology team collaborates closely with Global Markets Business and Quantitative Strategies & Data Group (QSDG) & Platform teams in the design and buildout of the Global Markets Gen AI platform.

Job Description

Generative AI (GenAI) presents an exciting opportunity to derive valuable insights from data and drive revenue growth, efficiencies, and improved business processes. Technology will collaborate with Global Markets Sales & Trading, Quantitative Strategies & Data Group (QSDG) & Platform teams to the design and buildout its global GenAI platform.

The platform will cater to a rapidly growing number of use cases that harness the power of GenAI. Both proprietary and open-source Large Language Models, and large structured and un-structured data sets will be leveraged to produce insights for Global Markets and its clients.

We are seeking a Software Engineer to build this platform. In this role, you will ensure that software is developed to meet functional, non-functional and compliance requirements, and solutions are well designed with maintainability/ease of integration and testing built-in from the outset.

Hands-on engagement in the full software lifecycle activities is expected. This includes requirements analysis, architecture design, coding, testing, and deployment. Job expectations include a strong knowledge of development and testing practices common to the industry and design and architectural patterns.

Responsibilities:

- Code solutions and implement automated unit tests to deliver a requirement/story per the defined acceptance criteria and compliance requirements.
- Design, develop, and modify architecture components, application interfaces, and solution enablers while ensuring principal architecture integrity is maintained.
- Mentor other software engineers and coach team on Continuous Integration and Continuous Development (CI-CD) practices and automating tool stack.
- Execute story refinement, definition of requirements, and estimating work necessary to realize a story through the delivery lifecycle.
- Perform proof of concept as necessary to implement new ideas or mitigate risk.
- Automate manual release activities.
- Design, develop, and maintain automated test suites (integration, regression, performance).
- Ensure solution meets product acceptance criteria with minimal technical debt.
- Troubleshoot build and setup failures and facilitate resolution.
- Ensure execution and delivery meets technology's expectations in terms of the functionality, quality, performance, reliability, and timeline.
- Communicate status frequently to technology partners.

Requirements:

Education: BE / BTech / MTech / MCA / MSc

Certifications (if any): NA

Experience Range: 08-10+ years in similar roles. Preferably in the financial industry

Foundational Skills:

- Expert Python development skills
- Hands-on experience in application development in one or more areas MongoDB, Redis, React Framework, Impala, Autosys, FAST API services, Containerization.
- Working in large sized teams that collaboratively develop on a shared multi-repo codebase using IDEs (e.g. VS Code rather than Jupyter Notebooks), Continuous Integration (CI), Continuous Deployment (CD) and Continuous Testing
- Hands-on DevOps experience with one or more of the following enterprise development tools: Version Control (GIT/Bitbucket), Build Orchestration (Jenkins), Code Quality (SonarQube and pytest Unit Testing), Artifact Management (Artifactory) and Deployment (Ansible)
- Experience with agile development methodologies and building supportability into applications
- Strong understanding of software architecture principles
- Excellent analytical and problem-solving skills.

Desired Skills:

- Self-starter. Able to break down complex problems into smaller problems, manage dependencies, and efficiently drive through to a solution
- Detail oriented & highly organized.
- Ability to communicate clearly and effectively to a wide range of audience (business stakeholders, developer & support teams).
- Adaptable to shifting & competing priorities.
- Committed and pro-active in ensuring high quality of service.
- Experience with developing frameworks and tools specific to AI/ML applications.
- Familiarity with cloud platforms and development in cloud environments.

Work Timings: 11:30am to 8:30pm IST

Job Location: Chennai