Artificial Intelligence Engineer, Portfolio Management Group, Associate

BlackRock

Not specified; not specified; comprehensive health...
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Generative ai and machine learning development
Python, sql, pytorch, tensorflow proficiency
Experience with langchain, llamaindex, hugging face
** BlackRock is seeking an Artificial Intelligence Engineer for its Portfolio Management Group, focusing on developing AI and machine learning solutions for fixed income investment challenges. The role requires a strong technical background in machine learning, experience with generative AI techniques, and collaboration with portfolio managers and stakeholders to deliver actionable insights. **

Job Summary

  • The role focuses on designing and developing generative AI and machine learning solutions to address fixed income investment and business problems within BlackRock's Global Fixed Income Team.
  • Candidates will work closely with portfolio managers and researchers to translate complex investment challenges into scalable data science solutions using advanced frameworks.
  • BlackRock offers a hybrid work model requiring at least four days in the office per week, along with comprehensive benefits including Flexible Time Off and tuition reimbursement.

Matching Summary

Match Score: 75

** BlackRock is seeking an Artificial Intelligence Engineer for its Portfolio Management Group, focusing on developing AI and machine learning solutions for fixed income investment challenges. The role requires a strong technical background in machine learning, experience with generative AI techniques, and collaboration with portfolio managers and stakeholders to deliver actionable insights. **

Salary

Not specified; Not specified; Comprehensive healthcare, retirement plan, tuition reimbursement, Flexible Time Off included

Skills & Requirements

Must-have

  • Generative AI and Machine Learning development
  • Python, SQL, PyTorch, TensorFlow proficiency
  • Experience with LangChain, LlamaIndex, Hugging Face
  • Data engineering with Spark, Pandas, Snowflake
  • Vector databases like FAISS, Pinecone, Chroma
  • Cloud platform familiarity (GCP, Azure, AWS)
  • Statistical methods and hypothesis-driven experimentation

Nice-to-have

  • Prior experience in financial services industry
  • Strong verbal and written communication skills
  • Self-driven and results-oriented team player
  • Ability to collaborate across geographies and time zones
  • Passion for solving real-world finance problems

Key Requirements

  • Bachelor's or Master's degree in Computer Science or related field
  • 4+ years of relevant experience in AI/ML
  • Strong understanding of linear algebra, probability theory, and optimization

Work Rights

Not specified

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