Gen AI Search Engineer (Python App. Development) Director Workplace Engineering
RMZ Ecoworld Business Park, India
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Morgan Stanley
Discover how we help individuals, families, institutions and governments raise, manage and distribute the capital they need to achieve their goals.Profile Description
Weāre seeking someone to join our team as (Director) Gen AI Search Engineer (Python App. Development) who will be to revolutionize our search capabilities. In this pivotal role, you will be at the forefront of integrating cutting-edge Generative AI models, particularly from OpenAI, with our enterprise search platform powered by Lucidworks Fusion (and Apache Solr) and Redis. You will design, develop, and implement intelligent search solutions that provide users with intuitive, contextually rich, and highly relevant information. This is an exciting opportunity to shape the future of how our organization accesses and utilizes knowledge.
Enterprise_Technology
Enterprise Technology & Services (ETS) delivers shared technology services for Morgan Stanley supporting all business applications and end users. ETS provides capabilities for all stages of Morgan Stanleyās software development lifecycle, enabling productive coding, functional and integration testing, application releases, and ongoing monitoring and support for over 3,000 production applications. ETS also delivers all workplace technologies (desktop, mobile, voice, video, productivity, intranet/internet) in integrated configurations that boost the personal productivity of employees. Application and end user functions are delivered on a scalable, secure, and reliable infrastructure composed of seamlessly integrated datacenter, network, compute, cloud, storage, and database functions.
Workforce Technology & Services
Workforce Technology & Services Provides the Firmās workforce with the technology, services and capabilities required to meet the needs of colleagues, partners and clients.
Workplace Engineering
This is Director position that manages and optimizes the technical environment and end-user experience across various workplace technologies for end-users, ensuring seamless operations and user satisfaction across the organization.
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.
At Morgan Stanley India, we support the Firmās global businesses, with critical presence across Institutional Securities, Wealth Management, and Investment management, as well as in the Firmās infrastructure functions of Technology, Operations, Finance, Risk Management, Legal and Corporate & Enterprise Services. Morgan Stanley has been rooted in India since 1993, with campuses in both Mumbai and Bengaluru. We empower our multi-faceted and talented teams to advance their careers and make a global impact on the business. For those who show passion and grit in their work, thereās ample opportunity to move across the businesses for those who show passion and grit in their work.
Interested in joining a team thatās eager to create, innovate and make an impact on the world? Read onā¦
What youāll do in the role:
Design, develop, and deploy Gen AI-powered search features leveraging OpenAI models (e.g., GPT-3, GPT-4, embeddings) and Lucid works Fusion.
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.
What youāll bring to the role:
- At least 4 yearsā relevant experience would generally be expected to find the skills required for this role
- Bachelor's or higher degree in Computer Science, Engineering, or a related field.
- Proven experience (typically 4+ years) in search engineering or a related software development
- 4+ years of Programming experience preferably using Python
- 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).
- Excellent problem-solving, analytical, and communication skills.
- Ability to work independently and collaboratively in a fast-paced environment.
Preferred Qualifications:
- 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
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 - arenāt 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, youāll 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. Thereās 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-officesā into your browser.
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.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index š°
Tags: Agile Angular APIs Architecture AWS Azure Computer Science Docker Elasticsearch Engineering Finance GCP Generative AI GPT GPT-3 GPT-4 Java Kubernetes LLMs Microservices MLOps NLP NLTK OpenAI Open Source Pipelines Python spaCy Testing Transformers
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