Artificial Intelligence Engineer, Investments, Associate at BlackRock

Mumbai, Maharashtra, India

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Not SpecifiedCompensation

Mid-level (3 to 4 years)Experience Level

Full TimeJob Type

UnknownVisa

Finance, Investments, Fixed IncomeIndustries

Requirements

Bachelor's or Master's degree in Computer Science/Engineering or related field
3-7 years of experience
Good understanding of the foundations and working principles of machine learning algorithms, linear algebra, probability theory, statistics, and optimization theory
Knowledge of at least one of the following domains: generative AI, statistical learning, optimization, NLP, deep learning or time series analysis
Strong proficiency in Languages: Python, SQL
Strong proficiency in Frameworks: PyTorch, TensorFlow, Scikit-learn, Hugging Face, LangChain, LlamaIndex
Strong proficiency in Data & Storage: Spark, Pandas, Snowflake, FAISS, Pinecone, Chroma
Familiarity with cloud platforms (GCP, Azure, AWS)
Proficiency in version control systems (e.g., Git/GitHub)
Strong analytical thinking skills with an ability to creatively solve business problems, innovating new techniques as needed
Excellent verbal and written communication skills
Self-driven and results oriented team player with ability to collaborate effectively across geographies/time zones
Passion for solving interesting and relevant real-world problems in Finance using a data science and AI approaches
Prior experience in financial services or large-scale enterprise systems is a plus

Responsibilities

Design and implement scalable generative AI and machine learning solutions for business problems
Develop, train, and fine-tune ML and deep learning models using frameworks such as PyTorch, Keras, TensorFlow or Scikit-learn
Collaborate with data engineers and software developers to integrate AI models into production systems through APIs, vector databases, and orchestration frameworks (e.g., LangChain, LlamaIndex)
Experiment with and evaluate generative AI techniques such as retrieval-augmented generation (RAG), reinforcement learning from human feedback (RLHF), and model distillation
Analyze large datasets to extract meaningful insights and features for model training
Evaluate model performance using statistical methods, experiment tracking, A/B testing and LLM evaluation techniques
Ensure compliance with responsible AI standards — including fairness, transparency, and data governance
Stay updated with advancements in AI & ML to propose innovative solutions

Skills

PyTorch

Keras

TensorFlow

Scikit-learn

LangChain

LlamaIndex

RAG

RLHF

model distillation

NLP

deep learning

time series analysis

APIs

vector databases

BlackRock

About BlackRock

New York City, New YorkHeadquarters

1988Year Founded

$78,647.7MTotal Funding

IPOCompany Stage

Fintech, Financial ServicesIndustries

Benefits

Health Insurance

Unlimited Paid Time Off

Mental Health Support

Wellness Program

401(k) Retirement Plan

Risks

FDIC scrutiny could lead to regulatory challenges for BlackRock.

Workforce reduction may indicate internal financial pressures or strategic shifts.

Involvement in Yangzijiang Shipbuilding exposes BlackRock to geopolitical risks.

Differentiation

BlackRock's Bitcoin ETF, IBIT, reached over $50 billion in assets quickly.

The firm is developing a layer-2 tokenized real-world asset platform on Ethereum.

BlackRock's partnership with Frax Finance enhances its stablecoin market presence.

Upsides

IBIT's success attracts a broader range of cryptocurrency investors.

The Ethereum platform positions BlackRock as a leader in blockchain financial services.

Partnership with Frax Finance enhances digital finance offerings and compliance.

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