Gen AI Developer - Associate - Software Engineering at Morgan Stanley

Bengaluru, karnataka, India -

Full Time

Start Date

Immediate

Expiry Date

14 Jan, 26

Salary

0.0

Posted On

16 Oct, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Gen Ai, Software Engineering, Search Engineering, Information Retrieval, Relevance Ranking, OpenAI APIs, Python, Java, NLP Techniques, Cloud Platforms, Docker, Kubernetes, MLOps, Agile Development, Lucidworks Fusion, Vector Databases

Industry

Financial Services

Description

Integrate and fine-tune large language models (LLMs) with Fusion's search pipelines to enhance query understanding, semantic search, summarization, question answering, and content generation. Develop and implement strategies for indexing, retrieving, and ranking information optimized for Gen AI applications within the Fusion environment. Build robust and scalable APIs and microservices to connect Gen AI models with the Fusion platform. Collaborate with data scientists, search architects, and product managers to define requirements and deliver innovative search solutions. Experiment with different Gen AI techniques and evaluate their effectiveness in improving search relevance and user experience. Monitor and analyze the performance of Gen AI-enhanced search features, identifying areas for optimization and improvement. Stay up to date with the latest advancements in Generative AI, natural language processing (NLP), and search technologies. search architecture Troubleshoot and resolve technical issues related to Gen AI and Fusion integration. At least 4 years' relevant experience would generally be expected to find the skills required for this role Proven experience in search engineering or a related software development Strong understanding of search engine principles, information retrieval, and relevance ranking. Hands-on experience working with Lucid works Fusion, including pipeline development, query processing, and analytics Significant experience working with OpenAI APIs and models (e.g., completions, embeddings, fine-tuning). Solid programming skills in languages such as Python and Java or experience with UI development such as AngularJS, ReactJS will be a plus Experience with NLP techniques and libraries (e.g., NLTK, spaCy, Transformers). Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and containerization technologies (e.g. Docker, Kubernetes). Ability to work independently and collaboratively in a fast-paced environment. Experience with other enterprise search platforms (e.g., Elasticsearch, Solr). Knowledge of vector databases and similarity search techniques. Experience with MLOps practices for deploying and monitoring AI models. Contributions to open-source projects in the search or NLP domains. Familiarity with agile development methodologies. Exposure to Docker, Kubernetes, and web stack technologies 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.

Responsibilities

Integrate and fine-tune large language models with Fusion's search pipelines to enhance various search functionalities. Collaborate with cross-functional teams to define requirements and deliver innovative search solutions.