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BlackRock

Artificial Intelligence Engineer (ML Ops/LLM Ops), Investments, Associate

Posted 2 Days Ago
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In-Office
Mumbai, Maharashtra
Mid level
In-Office
Mumbai, Maharashtra
Mid level

About this role

About this Role

BlackRock Global Markets and Index Investments (BGM) brings together BlackRock’s index equity, index fixed income, global trading, securities lending, cash management, ETF markets, and financing and financial resource management businesses to deliver investment, trading, financing and risk management excellence for clients every minute of every day. 

 

The AI Office within BlackRock Global Markets is a function focused on transforming our businesses with the use of AI, with 3 specific goals : scaling the investment process to increase productivity, generating insights for performance and identifying revenue opportunities to grow our business. We will achieve these goals by delivering on a cohesive AI strategy for BGM, helping drive prioritization and governance and connecting with partners across the Firm  on AI initiatives. Also critical is the acceleration of our execution plans for AI, helping run pilots and proof of concepts to final deployed products and the incubation of AI DNA into BGM, bringing in new skills to make us better technologists and help amplify our collective impact. Within the AI office, we are looking to setup an AI Engineering team, specifically focused on scaling AI Research to production quality products and solutions 

 

Job Purpose/Background: 

The BGM AI office is looking for a strong individual contributor to help with the establishment of the AI Engineering team  whose primary job responsibilities include working with the Research and Business teams to understand specific goals and deliverables and working to convert initial research to end state products/solutions that can be deployed to production. The team will focus on partnering with central functions to build on Firm provided platforms and frameworks. The work will also involve building a reusable toolkit for use by in-business partners and helping raise the AI skillset for all of BGM. 

 

Key Responsibilities: 

  • Build AI engineering solutions, both LLM and ML based and ensure production quality design and deployment 

  • Partner with Research teams across BGM to take proof of concepts to products and solutions 

  • Create common tools and platform solutions that can be useful across multiple BGM use cases, leveraging and adapting Firm technology where applicable e.g. trustworthy AI, model testing, pdf parsing tools  

  • Work with BGM’s data engineering teams to source new datasets for AI modeling and prepare existing ones for AI use 

  • Work with BLK’s central AI office and other AI-forward teams at BlackRock, especially in Investment organizations to identify synergies and opportunities to partner 

  • Create alignment and help build a community with AI, Research and data teams in Gurgaon and within BGM globally 

 

 

Skills & Qualifications: 

  • 3+ years of experience in the Financial services industry in an Engineering role that requires knowledge of investment workflows and products 

  • Bachelor’s level education with a focus on engineering, computer science, statistics, mathematics or related fields 

  • Experience with creating production-quality software based on research 

  • Experience with emerging LLM offerings from industry leaders 

  • Experience in python & related framework/libraries 

  • Experience with data engineering (ETLs) and analytical tools (Tableau, PowerBI etc.) 

  • Experience in modeling including machine learning, econometrics / statistical analysis and various optimization techniques 

  • Strong analytical skills, attention to detail, and the ability to work as part of a team in a fast-paced environment 

  • Excellent interpersonal, oral, and written communication skills 

Our benefits
To help you stay energized, engaged and inspired, we offer a wide range of benefits including a strong retirement plan, tuition reimbursement, comprehensive healthcare, support for working parents and Flexible Time Off (FTO) so you can relax, recharge and be there for the people you care about.

Our hybrid work model

BlackRock’s hybrid work model is designed to enable a culture of collaboration and apprenticeship that enriches the experience of our employees, while supporting flexibility for all. Employees are currently required to work at least 4 days in the office per week, with the flexibility to work from home 1 day a week. Some business groups may require more time in the office due to their roles and responsibilities. We remain focused on increasing the impactful moments that arise when we work together in person – aligned with our commitment to performance and innovation. As a new joiner, you can count on this hybrid model to accelerate your learning and onboarding experience here at BlackRock.

About BlackRock

At BlackRock, we are all connected by one mission: to help more and more people experience financial well-being.  Our clients, and the people they serve, are saving for retirement, paying for their children’s educations, buying homes and starting businesses. Their investments also help to strengthen the global economy: support businesses small and large; finance infrastructure projects that connect and power cities; and facilitate innovations that drive progress.

This mission would not be possible without our smartest investment – the one we make in our employees. It’s why we’re dedicated to creating an environment where our colleagues feel welcomed, valued and supported with networks, benefits and development opportunities to help them thrive.

For additional information on BlackRock, please visit @blackrock | Twitter: @blackrock | LinkedIn: www.linkedin.com/company/blackrock

BlackRock is proud to be an Equal Opportunity Employer.  We evaluate qualified applicants without regard to age, disability, family status, gender identity, race, religion, sex, sexual orientation and other protected attributes at law.

Top Skills

Large Language Models
Machine Learning
Power BI
Python
Tableau

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