Associate, AI Data Scientist- Private Markets
BlackRock (company site, opens in a new tab)BengaluruOn-siteDirect career pageEst. 20–40 LPA
Posted 9h ago
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Job description
Structured overview of role & requirements
About This Role
- Research, build, and scale enterprise-grade agentic AI systems and multi-agent LLM workflows translating private markets workflows into governed production capabilities.
- Develop workflows including planning, retrieval, reasoning, tool use, verification, with emphasis on quality, latency, cost and control objectives.
- Operate lifecycle of open-source small and large language models including training, adaptation, deployment, monitoring, and retirement to improve private markets data quality and automation.
Minimum Requirements
- Strong experience building and deploying AI or machine-learning systems in enterprise or complex environments beyond prototypes.
- Practical expertise with LLM applications and agentic systems including retrieval, tool use, orchestration, verification, and evaluation of non-deterministic behavior.
- Hands-on experience adapting, fine-tuning, benchmarking open-source SLMs or LLMs and ModelOps practices including performance and drift monitoring.
- Ability to write production-quality Python and work across data preparation, APIs, orchestration, deployment, and observability. Work Experience Required: Not explicitly mentioned in the JD.
Ideal Candidate Profile
- Experienced in translating ambiguous, private markets workflows into measurable AI capabilities with iterative user collaboration and direct access to users.
- Skilled in advanced agent design patterns and rigorous evaluation balancing quality, latency, cost, and operational risk in production environments.
- Demonstrates strong judgment on model architectures and trade-offs, with focus on responsible AI, data provenance, security, and adherence to governance in high-trust financial workflows.