Principal Applied Data Scientist – GenAI

Key Skills

Aartificial intelligence, API, Data science techniques, Deep Learning, Effective communication skills, Generative AI, HuggingFace, Leadership, Machine learning techniques, Natural Language Processing (NLP), Neural Networks, Optimization, Predictive analytics, Prescriptive Analytics, PySpark, Python Programming, Statistics

Job Description

• Serve as GenAI lead for implementing specific Personal Investor transformation areas such as knowledge management system, call intelligence system, or coversational systems
• Supervise the work of junior data scientists and engineers and collaborate with a cross functional team to drive business outcomes.
• Support GenAI solutions development, prioritizing areas for exploration and improvement for the team, and reviewing in-development models for quality as they are being trained.
• Prioritize generative AI features, models, and controls, engaging with product leaders and serving as the GenAI subject matter expert to drive tangible business outcomes
• Design and manage the model quality process, including both automated pipelines and manual review.
• Evaluate new technologies including vendor solutions to drive best practices in incorporating third-party technologies in a responsible manner
• Industry and Academic Awareness: Stay up-to-date with the latest developments in around AI and associated technologies in both academia and industry, integrating relevant advancements into our GenAI strategy.
• Business partner alignment: Work closely with business partners, external partners, and other cross functional teams to align on GenAI requirements and show sense of urgency in delivering insights.
• Technical Implementation: Translate research findings into practical solutions, exploring novel techniques, algorithms, and approaches that can be applied to real-world challenges. developing and optimizing GenAI models and systems for real-world applications.
• Effective Communication: Communicate complex technical concepts clearly and concisely to both technical and non-technical stakeholders, fostering a culture of knowledge sharing and learning.

Qualifications:

• MS/Ph.D. in Computer Science, Machine Learning, or a related field with a strong focus on GenAI
• 5+ years of NLP implementation experience in the industry including experience building, scaling, and optimizing training and inferencing APIs for deep neural networks
• 7+ years of excellent coding experience in languages such as Python and PySpark,
• Expert knowledge and extensive exposure to opensource/commercial LLM’s leveraging technologies such as Hugging Face, OpenAI, etc..
• Strong communication skills, with the ability to explain complex concepts to both technical and non-technical audiences.
• A deep understanding of the GenAI landscape, including recent advancements and emerging trends in both academia and industry
• Knowlegeable about responsible use of GenAI models
• Experience working in cross-functional teams and a track record of balancing technical decisions with business objectives
• Experience with speech synthesis and call transcription and generating insights using it. 

Preferred Qualifications:

• Client facing/consulting experience preferred
• Deep experience with call transcription and generating deep insights using it in both batch and real-time scenarios
• Contributions to AI/ML community through publications, open source contributions, articles, etc..

Special Factors

Sponsorship

Vanguard is offering visa sponsorship for this position.