AI Development Solution Engineering Specialist_Associate_Software Engineeri at Morgan Stanley

Bengaluru, karnataka, India -

Full Time

Start Date

Immediate

Expiry Date

21 Jan, 26

Salary

0.0

Posted On

23 Oct, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, Machine Learning, Generative AI, Data Engineering, DevOps, Cloud Computing, SQL, NoSQL, Big Data, AI Development, Model Ops, CI/CD, Application Development, Documentation, Prototyping, Collaboration

Industry

Financial Services

Description

ETS also delivers all workplace technologies (desktop, mobile, voice, video, productivity, intranet/internet) in integrated configurations that boost the personal productivity of employees. 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. Software Engineering This is a position that develops and maintains software solutions that support business needs. ### Build Proof of Concepts and example code through which developers can leverage GenAI models to solve common problems or patterns to enable GenAI adoption at scale ### Develop prototypes to demonstrate model capabilities, advanced usage patterns. ### Collaborate with AI engineers to prioritize capabilities for firmwide platform roadmap ### Author best practices on the Generative AI ecosystem, when to use which tools, available models such as GPT, Llama, Hugging Face etc. and libraries such as Langchain, and Sematic Kernel. ### Troubleshoot customer adoption of GenAI platform capabilities; update user documentation and provide feedback to platform engineering teams to improve future customer experience ### This is a customer-facing role, and excellent soft communications skills are mandatory. ### Have an application developer mindset and build common, reusable solutions to scale Generative AI use cases using pre-trained models as well as fine-tuned models ### At least 2 years' relevant experience would generally be expected to find the skills required for this role. ### 2+ experience in software engineering, design, and development. ### Bachelor's or a master's degree in computer science or related field, or equivalent job experience. ### Strong hands-on proficiency in Python and machine learning specific libraries like numpy, opencv, scikit-learn, pandas, matplotlib, seaborn, etc. ### Understanding of AI/ML Lifecycle and basic understanding of systems like mlflow, Dataiku, databricks. ### Broad understanding of data engineering (SQL, NoSQL, Big Data), data governance, data privacy and security ### Demonstrated experience in DevOps, understanding of CI/ CD. Hands on experience with managing code in code repositories such as Bit Bucket and GitHub. ### Experience working with application development teams to enable them to build AI based applications. ### Ability to create code samples to be shared with application teams. ### Experience working with cloud providers, preferably Azure, but also AWS, GCP ### Experience building applications using AI development services on prominent cloud platforms such as Azure Open AI, Azure AI Foundry, Azure Search, Azure Cognitive Services, AWS Bedrock, 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 Model Ops/ ML Ops/ LLM Ops 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. 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. To learn more about our offices across the globe, please copy and paste https://www.morganstanley.com/about-us/global-offices into your browser. 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. Internal Applicants Internal mobility can be a way to grow your career and realize your professional potential. Typically, you must be in your position for at least 18 months and performing satisfactorily before applying for another job at the Firm. Internal applicants can find out more regarding career navigation, mobility guidelines and policy on our employee portal by clicking here.

Responsibilities

The role involves developing and maintaining software solutions that support business needs, including building proof of concepts and prototypes for Generative AI models. It also requires collaboration with AI engineers and troubleshooting customer adoption of the GenAI platform capabilities.