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    Home/Jobs/Artificial Intelligence Engineer, Portfolio Management Group, Associate

    Artificial Intelligence Engineer, Portfolio Management Group, Associate

    BlackRock

    Mumbai
    4+ years
    Today
    ₹15–28 LPA
    Full-time
    Hybrid

    Skills Required

    Hugging Face
    LangChain
    LlamaIndex
    Gen AI
    Python
    SQL
    PyTorch
    TensorFlow
    Scikit-learn
    Apache Spark
    Pandas
    Snowflake
    FAISS
    Pinecone
    Chroma

    Description

    At BlackRock, technology has always been at the core of what we do – and today, our technologists continue to shape the future of the industry with their innovative work.

    Company: BlackRock

    Role: Artificial Intelligence Engineer, Portfolio Management Group, Associate

    Location: Mumbai, India

    Experience:

    • 4+ years of relevant experience

    Key Skills:

    • Python
    • SQL
    • PyTorch
    • TensorFlow
    • Scikit-learn
    • Hugging Face
    • LangChain
    • LlamaIndex
    • Spark
    • Pandas
    • Snowflake
    • FAISS
    • Pinecone
    • Chroma
    • Git/GitHub
    • GCP
    • Azure
    • AWS

    Qualification:

    • Bachelor's or Master's degree in Computer Science/Engineering or related field

    Role Focus:

    • Design and develop generative AI and machine learning solutions to address fixed income investment and business problems
    • Experiment with and implement generative AI techniques such as retrieval-augmented generation (RAG), embeddings, and LLM-based workflows
    • Build, train, and fine-tune machine learning and deep learning models using appropriate frameworks and methodologies
    • Analyze large structured and unstructured datasets to extract insights, engineer features, and support model development
    • Apply statistical methods and hypothesis-driven experimentation to evaluate model performance and validate results
    • Work closely with portfolio managers, researchers, and business stakeholders to translate investment problems into data science solutions
    • Contribute to the deployment and integration of models into production systems, including APIs and scalable pipelines
    • Collaborate with data engineers to ensure high-quality data pipelines and efficient data access
    • Ensure adherence to responsible AI principles including model interpretability, fairness, and data governance
    • Communicate model outputs, insights, and recommendations clearly to technical and non-technical stakeholders
    • Stay updated with advancements in AI, machine learning, and quantitative methods to continuously enhance solutions

    Nice to have:

    • Prior experience in financial services or large-scale enterprise systems

    Other:

    • Strong retirement plan
    • Tuition reimbursement
    • Comprehensive healthcare
    • Support for working parents
    • Flexible Time Off (FTO)
    • Hybrid work model (at least 4 days in the office per week, with the flexibility to work from home 1 day a week)

    Prepare for this role

    Recommended resources to build the skills for this position. Sponsored.

    Python for Everybody Specialization

    Coursera

    Learn Python from scratch — variables, data structures, web scraping, and databases.

    Python 3 Programming Specialization

    Coursera

    Intermediate Python covering classes, inheritance, APIs, and data processing.

    Generative AI with Large Language Models

    Coursera

    Comprehensive LLM course covering transformer architecture, fine-tuning, RLHF, and deployment.

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