Senior Specialist – AI-ML Engineer
NASDAQ
5 - 10 years
Bengaluru
Posted: 02/11/2025
Job Description
- 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 lead projects in identifying business growth opportunities for Nasdaq and their clients. Is working across business units.
- Stays abreast of new technologies and brings best practice thinking into review of internal and external analytical techniques used, processes, and tools.
- Coaches and leads work with more junior team members on building and prototyping data visualizations; creating computer models, and building data visualizations.
- Is a functional expert in working in the cloud to conduct scalable data research; completes modelling and business analysis and develops experiments to test potential deployments
- Works closely with product sponsors to understand business needs and propose solutions:
- Use domain knowledge and analytical expertise to suggest new product ideas
- Rapidly conduct experiments to validate new product ideas
- Write research reports describing the experiment conducted, results, and findings.
- Based on these results, recommends actions to technology, product, and senior management.
- Partners with BU’s to brainstorm ideas on new opportunities; provides constructive feedback to the technology and business teams on their business growth ideas, based on analytics and modelling.
- As a functional leader takes ownership of new projects and initiatives and mentors junior engineers in the team.
- Writes and publishes white papers for industry review.
Additionally:
- 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
- Implement security measures and data privacy controls
- Create monitoring systems for model performance and drift detection
Come as You Are
Nasdaq is an equal opportunity employer. We positively encourage applications from suitably qualified and eligible candidates regardless of age, color, disability, national origin, ancestry, race, religion, gender, sexual orientation, gender identity and/or expression, veteran status, genetic information, or any other status protected by applicable law.
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request an accommodation.
About Company
NASDAQ (National Association of Securities Dealers Automated Quotations) is a global electronic marketplace for buying and selling securities, headquartered in New York, USA. Founded in 1971, it was the world's first electronic stock exchange and is now one of the largest in terms of market capitalization. NASDAQ is home to many of the world’s leading technology and biotech companies, including Apple, Amazon, Microsoft, and Tesla. It provides trading and financial services, including stock market listings, electronic trading platforms, and financial data. NASDAQ is known for its advanced technology and is considered a key player in global financial markets.
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