Acceleration AI - Lead Engineer, Vice President

HA3-Gurgaon - DLF Cyber City

BlackRock

Seit über 30 Jahren arbeitet BlackRock daran, die Wirtschaft zu stärken und Anlegern zu ihren finanziellen Zielen zu verhelfen.

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About this role

Aladdin Data is responsible for enterprise data and analytics for BlackRock and its Aladdin clients. We also develop and operate the platforms that produce, distribute, and govern enterprise data and analytics. Our goal is a largely automated, cloud-native platform that radically transforms our data and analytics supply chain, making it faster, easier, and cheaper to discover, access, and leverage data and analytics for asset management.

The Aladdin Data AI Acceleration team (ADAX) is responsible for building AI solutions for Aladdin Data. We are transforming workflows by introducing AI for decision support, automation, and document data extraction. We are building tools that augment the Aladdin platform and enable new revenue opportunities. This role is for a senior engineer who can lead a software development team and ensure steady progress across multiple projects.

Responsibilities:

  • Drive and oversee all parts of the software development life cycle, including requirements gathering, design, development, deployment, testing, documentation and maintenance

  • Lead, mentor, and develop a high-performing team of AI engineers and software developers.

  • Work with product and program managers to plan work and manage expectations

  • Manage dependencies, and communicate progress to stakeholders

  • Design end-to-end systems which include servers, front-ends, databases, data pipelines, APIs, model management

  • Work with architects and other developers to deliver solutions with strategic alignment

  • Support rapid-prototyping and quick iteration based on feedback

Skills:

  • 8+ years of software engineering experience, including 2+ in a management/leadership capacity

  • Track record of delivering complex software projects

  • Proficiency in Java/Go, Python, SQL, Unix

  • Proficiency in Kubernetes and microservices

  • Knowledge of modern API design, databases and object storage, distributed computing and cloud infrastructure

  • Experience with big data technologies (e.g., Hadoop, Spark) and data engineering best practices

  • Knowledge of MLOps and best practices for deploying AI systems preferable

  • Degree in computer science or equivalent preferable

  • Familiarity with generative AI systems desirable

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.

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Tags: APIs Big Data Computer Science Data pipelines Engineering Finance Generative AI Hadoop Java Kubernetes Microservices MLOps Pipelines Prototyping Python SDLC Spark SQL Testing

Perks/benefits: Career development Flex hours Flex vacation

Region: Asia/Pacific
Country: India

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