Specialist

Nasdaq is seeking an experienced Senior AI/ML Engineer with strong expertise in Generative AI to lead complex artificial intelligence and machine learning initiatives. This role involves designing, developing, and deploying generative AI solutions for enterprise applications, AI Agents, and AI workflows. The engineer will architect and implement large language models, optimize model performance, and develop API integrations. Key responsibilities also include applying statistical and predictive modeling, generating algorithms, building web prototypes, and ensuring responsible AI practices.

Must Have

• Design, develop and deploy generative AI solutions for enterprise applications, AI Agents, AI workflows
• Architect and implement large language models (LLMs) and other generative models
• Optimize model performance, efficiency, and computational resources
• Develop API integrations and microservices for AI model deployment
• Ensure responsible AI practices including bias detection and mitigation
• Apply and integrate statistical, mathematical, predictive modeling and business analysis skills
• Manage and manipulate complex high volume data from a variety of sources
• Generate algorithms and create computer models
• Build web prototypes and perform data visualization
• Lead data validation work on the various hypothesis and prediction modelling activities
• Conduct scalable data research and collaborate with Lead engineers and other scientists
• Collaborate with Data Engineers to develop experiments and hypothesis
• Lead statistical and mathematical predictive modelling to test hypothesis
• Work closely with business/product sponsors to understand the business needs and ensures hypothesis, predictive modelling and data validation is in line with business opportunity

Perks & Benefits

• Hybrid work model (NasdaqBlend) offering flexibility
• Total rewards program (You&Q) covering wealth building, career growth, well-being, and family care

We are seeking an experienced Senior AI/ML Engineer with strong expertise in Generative AI to lead complex artificial intelligence and machine learning initiatives. The ideal candidate will drive innovation in AI solutions while mentoring junior team members and collaborating with cross-functional teams.

• Design, develop and deploy generative AI solutions for enterprise applications, AI Agents, AI workflows
• Architect and implement large language models (LLMs) and other generative models
• Optimize model performance, efficiency, and computational resources
• Develop API integrations and microservices for AI model deployment
• Ensure responsible AI practices including bias detection and mitigation

• Applies and integrates statistical, mathematical, predictive modeling and business analysis skills to manage and manipulate complex high volume data from a variety of sources and to identify business growth opportunities for Nasdaq and their clients.
• Generates algorithms and creates computer models; builds web prototypes and performs data visualization.
• Leads data validation work on the various hypothesis and prediction modelling activities of the team; working across the team.
• Strategizes new uses for data and its interaction with data design.
• Conducts scalable data research and collaborates with Lead engineers and other scientists, discovering the trends/stories and how that translates into business opportunity.
• Collaborates with Data Engineers to develop experiments and hypothesis.
• Leads statistical and mathematical predictive modelling to test hypothesis.
• Works closely with business/product sponsors to understand the business needs and ensures hypothesis, predictive modelling and data validation is in line with business opportunity.
• Stays current on technological and analytical trends. Trains the data scientist team on new or updated technologies and updated procedures.
• Writes white papers for peer review