Senior AI Solutions - Vice President - Data & Analytics Engineering at Morgan Stanley

Mumbai, maharashtra, India -

Full Time

Start Date

Immediate

Expiry Date

11 Apr, 26

Salary

0.0

Posted On

11 Jan, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

AI Solutions, Data Engineering, Analytics Engineering, Machine Learning, NLP Techniques, Python, Big Data Technologies, Deep Learning, Multiagent Systems, Knowledge Graphs, Model Evaluation, Prompt Engineering, Retrieval Augmented Generation, Vector Databases, Data Systems Architecture, Collaboration

Industry

Financial Services

Description

As a member of our team, we look first and foremost for people who are passionate about solving business problems through innovation and engineering practices. You'll be required to apply your depth of knowledge and expertise to all aspects of the software development lifecycle, as well as partner with stakeholders to stay focused on business goals. We embrace a culture of experimentation and constantly strive for improvement and learning. You'll work in a collaborative, trusting, thought-provoking environment-one that encourages diversity of thought and creative solutions that are in the best interests of our customers globally. You'll combine your design and development expertise with a never-ending quest to create innovative technology through solid engineering practices. You'll work with a highly inspired and inquisitive team of technologists who are developing & delivering top quality technology products to our clients & stakeholders. Design and develop state-of-the-art GenAI and general AI solutions as well as multiagent systems to solve complex business problems. Integrate knowledge graph, LLMs and multiagent systems Leverage NLP techniques to enhance applications in language understanding, generation, and other data-driven tasks. Lead the design and architecture of scalable, efficient, and high-performance data systems that support processing of massive datasets of structured and unstructured data. Use machine learning frameworks and tools to train, fine-tune, and optimise models. Implement the best practices for model evaluation, validation, and scalability Stay up to date with the latest trends in AI, NLP, LLMs and big data technologies. Contribute to the development and implementation of new techniques that improve performance and innovation. Collaborate with cross-functional teams, including engineers, product owners, and other stakeholders to deploy AI models into production systems and deliver value to the business. Leverage a strong problem-solving mindset to identify issues, propose solutions, and conduct research to enhance the efficiency of AI and machine learning algorithms. Communicate complex model results and actionable insights to stakeholders though compelling visualizations and narratives. B.E or Master's or PhD in Computer Science, Mathematics, Engineering, Statistics or a related field Proven experience building and deploying to production GenAI models with demonstrable business value realization 12 + years of total working experience. At least 8 years' relevant experience would generally be expected to find the skills required for this role 8+ years' experience in traditional AI methodologies including deep learning, supervised and unsupervised learning, and various NLP techniques (e.g, tokenization, named entity recognition, text classification, sentiment analysis etc.) Strong proficiency in Python with deep experience using frameworks like Pandas, PySpark, TensorFlow, XGBoost Demonstrated experience dealing with big-data technologies and the ability to process, clean and analyse large-scale datasets. Experience designing and architecting high-performance, data-intensive systems that are scalable and reliable. Strong communication skills to present technical concepts and results to both technical and non-technical stakeholders. Ability to work in a team-oriented and collaborative environment. Experience with Prompt Engineering, Retrieval Augmented Generation (RAG), Vector Databases Strong understanding of multiagent architectures and experience with frameworks for agent development Knowledge of Semantic Knowledge Graphs and their integration into AI/ML workflows 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

Design and develop state-of-the-art AI solutions to solve complex business problems while collaborating with cross-functional teams. Lead the architecture of scalable data systems and implement best practices for model evaluation and optimization.