Nasdaq Technology is looking for a passionate Specialist - Data Science with a focus on software development, to join the Bangalore technology center in India. If Innovation and effectiveness drive you forward this is the place for you!
Nasdaq is continuously revolutionizing markets and undergoing transformations while we adopt new technologies to develop innovative solutions, constantly aiming to rewrite tomorrow. As a Specialist - Data Science, you will play a key role in the delivery of complex technical systems of varying sizes to new and existing customers and will be part of discovering new technologies within the FinTech industry.
We are now looking for a Specialist - Data Science - to strengthen the Corporate Access Platform's Nasdaq Lens team in Bangalore. You will be responsible for building and delivering AI-powered solutions across the Nasdaq Lens program to help various business operations and process simplification, introduce automation via Artificial Intelligence, and drive efficiency and productivity.
We are looking for candidates who share those values along with a genuine desire and drive to deliver top technology solutions to today's markets.
With this position we offer:
Join the development organization for the Nasdaq Lens COE team. The main objective for the development team in Bangalore is to build state of the art AI powered solutions to simplify operations & process across CAP products and drive productivity. As our new member, you will work with a group of enthusiastic and experienced team members. Together with your team, you will be accountable for delivering enhancements and supporting the architecture of the enterprise product as it transitions to new software paradigms.

Your role and responsibilities :

We are seeking an experienced Specialist - Data Science to develop AI and machine learning projects from inception to deployment. The ideal candidate will bridge technical and business objectives while collaborating with cross-functional teams to deliver high-impact AI solutions.

• Design, build, and deploy Generative AI and Agentic AI solutions for complex business problems.
• Develop and orchestrate AI agents to automate operations and business processes.
• Build and integrate cloud-native, serverless AI workflows on AWS.
• Apply advanced prompting techniques and prompt optimization to improve model accuracy, reliability, and cost efficiency.
• Implement observability and monitoring for AI/agentic systems to ensure performance and reliability in production.
• Establish standards for model development, evaluation, validation, and deployment.
• Design and implement data pipelines and integrations with relational databases.
• Drive continuous improvement in solution accuracy, latency, and performance.

Furthermore, you will:

• Collaborate with business stakeholders to identify opportunities for AI/ML solutions.
• Present technical findings and solution outcomes to stakeholders.
• Contribute to architectural decisions for AI systems.
• Ensure ethical and responsible AI practices.
• Lead POCs and research initiatives for emerging AI technologies.
• Partner with data engineering teams for efficient data pipeline development.

We expect you to have:

• Minimum 5 to 6 years of experience in Data Science / Machine Learning / AI engineering.
• Must have core development experience on in Python and related AI/ML frameworks.
• Strong hands-on experience with AWS services: Lambda, Batch, Step Functions, Bedrock, Bedrock Agent Core, S3, RDS, and Redis (Elastic ache).
• Proven experience building AI Agents and agentic workflows.
• Experience with AI observability and monitoring for LLM and agentic applications.
• Hands-on experience with Anthropic Claude models via Amazon Bedrock.
• Expertise in prompting techniques and prompt optimization.
• Basic knowledge of PostgreSQL databases (queries, schema, integration)
• Proven track record of deploying AI/ML models and solutions to production.
• Excellence in technical communication and collaboration.
• Education Qualification: Bachelor / master’s in computer science.

It would be great if you:

• Have experience with MLOps and automated deployment pipelines.
• Possess knowledge of RAG architectures, vector databases, and NLP.
• Are experienced with evaluation frameworks for LLM and agentic systems.
• Have contributed to AI/ML open-source projects.
• Are familiar with AI governance and compliance frameworks.

Does it sound like you?

What happens now? As the selection process is ongoing, please submit your application in English as soon as possible. We will get back to you in 2-3 weeks.

What will it be like working here?

Nasdaq is a vibrant and entrepreneurial company where everyone is encouraged to take initiative, challenge status quo, and take intelligent risks. We want everyone to feel welcome and bring their authentic self to work. Every day, we are building a culture where we all feel connected, supported and empowered. We are a Hybrid-first environment that embraces work-life balance and fosters well-being.

What do we offer you?

• Annual monetary bonus.
• An opportunity to become a Nasdaq shareholder.
• Employee Stock Purchase Program - Nasdaq stocks with a discount.
• Health Insurance Program.
• Flexible working schedule and hybrid way of work.
• Flex day program (up to 6 paid days off a year) in addition to standard vacations and holidays.
• Internal mentorship program - get a mentor or become one.
• Wide selection of online learning resources, e.g., Udemy.

Come as You Are

Nasdaq is an equal opportunity employer. We welcome applications from candidates of all backgrounds and identities.

We are committed to fostering an inclusive workplace where diverse perspectives, experiences, and identities are valued and celebrated.

We ensure that individuals with disabilities are provided with reasonable accommodation throughout the hiring process.