Job Description
About this role
AboutGlobalFixed Income Team
BlackRock’s active fixed income portfolio strategies stretch across a range of investment styles and segments of the fixed income universe.The breadth and depth of our platformputsus in a strong position to potentially deliver attractive returns in various market environments. With a focus on alpha generation and risk management, the team uses a top-down view from lead portfolio managers and bottom-upexpertisefrom our sector specialists.
Responsibilities:
Design and implementscalablegenerativeAI and machine learning solutionsfor business problems.
Develop, train, and fine-tuneML and deep learning models using frameworks such asPyTorch,Keras,TensorFlowor Scikit-learn.
Collaboratewith data engineers and software developers to integrate AI models into production systemsthrough APIs, vector databases, and orchestration frameworks (e.g.,LangChain,LlamaIndex).
Experiment with and evaluategenerative AI techniques such as retrieval-augmented generation (RAG), reinforcement learning from human feedback (RLHF), and model distillation.
Analyze large datasetsto extract meaningful insights and features for model training.
Evaluate model performanceusing statistical methods, experiment tracking, A/Btestingand LLM evaluation techniques.
Ensure compliancewith responsible AI standards — including fairness, transparency, and data governance.
Stay updatedwith advancements in AI & ML to propose innovative solutions.
Education and Qualifications/Skills:
Bachelor's orMaster's degree in Computer Science/Engineeringor 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, deeplearningor time series analysis.
Should have strongproficiencyin the following:
Languages:Python, SQL
Frameworks:PyTorch,TensorFlow, Scikit-learn, Hugging Face,LangChain,LlamaIndex
Data& Storage:Spark, Pandas, Snowflake, FAISS, Pinecone, Chroma
Familiarity withcloud platforms(GCP, Azure,AWS)
Proficiencyinversion control systems (e.g., Git/GitHub).
Strong analytical thinking skills withanability to creatively solve business problems, innovating newtechniquesas 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 usinga datascience andAIapproaches.
Prior experience infinancial services or large-scale enterprise systemsis a plus.
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, ****** orientation and other protected attributes at law.
Job Requisition #
R257888
AboutGlobalFixed Income Team
BlackRock’s active fixed income portfolio strategies stretch across a range of investment styles and segments of the fixed income universe.The breadth and depth of our platformputsus in a strong position to potentially deliver attractive returns in various market environments. With a focus on alpha generation and risk management, the team uses a top-down view from lead portfolio managers and bottom-upexpertisefrom our sector specialists.
Responsibilities:
Design and implementscalablegenerativeAI and machine learning solutionsfor business problems.
Develop, train, and fine-tuneML and deep learning models using frameworks such asPyTorch,Keras,TensorFlowor Scikit-learn.
Collaboratewith data engineers and software developers to integrate AI models into production systemsthrough APIs, vector databases, and orchestration frameworks (e.g.,LangChain,LlamaIndex).
Experiment with and evaluategenerative AI techniques such as retrieval-augmented generation (RAG), reinforcement learning from human feedback (RLHF), and model distillation.
Analyze large datasetsto extract meaningful insights and features for model training.
Evaluate model performanceusing statistical methods, experiment tracking, A/Btestingand LLM evaluation techniques.
Ensure compliancewith responsible AI standards — including fairness, transparency, and data governance.
Stay updatedwith advancements in AI & ML to propose innovative solutions.
Education and Qualifications/Skills:
Bachelor's orMaster's degree in Computer Science/Engineeringor 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, deeplearningor time series analysis.
Should have strongproficiencyin the following:
Languages:Python, SQL
Frameworks:PyTorch,TensorFlow, Scikit-learn, Hugging Face,LangChain,LlamaIndex
Data& Storage:Spark, Pandas, Snowflake, FAISS, Pinecone, Chroma
Familiarity withcloud platforms(GCP, Azure,AWS)
Proficiencyinversion control systems (e.g., Git/GitHub).
Strong analytical thinking skills withanability to creatively solve business problems, innovating newtechniquesas 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 usinga datascience andAIapproaches.
Prior experience infinancial services or large-scale enterprise systemsis a plus.
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, ****** orientation and other protected attributes at law.
Job Requisition #
R257888
💡 Quick Summary
Seeking a career-building opportunity? The Artificial Intelligence Engineer, Investments, Associate position is now open for candidates interested in the Work from home Jobs sector. This role in Mumbai offers a professional environment and growth potential.
Requirement Snapshot: Candidates should possess basic communication skills, a proactive attitude, and the ability to work in a team. Experience in Work from home Jobs is a plus.