AI Engineer , Associate

About this role

Responsibilities:

• Design and build the next generation of the world's best investment management technology platform, focusing on managing various investment lifecycle processes and investment research.
• Leverage existing AI/ML infrastructure to develop new platform services.
• Collaborate with product engineering teams to implement comprehensive AI/ML-based solutions from start to finish.
• Work with team members in a multi-office, multi-country environment.
• Refine business and functional requirements and translate them into scalable technical designs.
• Apply quality software engineering practices throughout the software development lifecycle.
• Conduct code reviews, perform unit, regression, and user acceptance testing, and provide level two production support to ensure resilience and stability.

Requirements:

• B.S./M.S. degree in Computer Science, Engineering, or a related subject area with 2-4 years of proven experience, or equivalent experience, for Associate positions and 4-8 years, or equivalent experience, for Vice President or Technical Architect positions.
• Strong proficiency and hands-on experience in object-oriented programming with Java and Python.
• Experience building applications using LLM frameworks such as LangChain, Llama Index, and Semantic Kernel.
• Familiarity with event-driven architecture and messaging frameworks like Kafka.
• Proficiency in designing and building scalable APIs and Microservices.
• Experience with cloud platforms such as Azure (Preferred), AWS, or GCP.
• Knowledge of containerization and orchestration technologies such as Docker and Kubernetes.
• Familiarity with relational databases and NoSQL databases like Apache Cassandra.
• Experience working in Agile development teams.
• Excellent collaboration skills.

Nice to have:

• Experience with ML model training and fine-tuning.
• Understanding of prompt engineering and prompt tuning.
• Knowledge of ML model evaluation to ensure consistent performance with changing data.
• Familiarity with MLOps and ML model lifecycle pipelines.

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.