Vacancy description
Millennium
India, Bengaluru
Tech / AI Specialist in Bengaluru, India is listed on Jobeax. Browse 30,000+ vacancies available.
Defined by evolution, innovation and focus, Millennium's mission is to deliver results for our investors.
Our people are empowered with both independence and support: the autonomy to pursue ideas with conviction and the backing of a global network committed to collaboration, disciplined risk management and continuous learning. With opportunities to deepen expertise and accelerate development, talent at Millennium is equipped to adapt, evolve and build lasting impact over time. Core to the health and growth of our business, Millennium's Information Technology organization builds flexible, scalable platforms and advanced proprietary systems that support the firm's active, multi-manager model. Within this environment, the Business Development and Compensation Technology team owns platforms central to the firm's business development and incentive operating model, partnering across functions to deliver scalable, well-controlled systems aligned with evolving business and reporting needs.
Build, test, and deploy production-grade AI solutions using generative AI techniques, including LLMs, RAG, fine-tuning, prompt optimization, and agentic workflows
Help redesign how business development activity is modeled, processed, controlled, and reported across the firm
Shape AI-first systems architecture across multiple platforms supporting business development and incentive workflows
Design and implement evaluation frameworks to measure solution quality, robustness, reliability, and business impact
Partner closely with product managers, data engineers, and business stakeholders to translate business needs into scalable, production-ready solutions
Contribute to real-time and batch data pipelines, including monitoring, logging, metrics, guardrails, and human-in-the-loop review processes
Work across regions and departments to understand business workflows, contractual documents, and unstructured data, and apply those insights to effective AI solution design
Perform data cleansing, data engineering, and pipeline development to make AI solutions reliable, scalable, and production-ready
5–6 years of data engineering experience, including 1–2 years of hands-on AI experience
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