Applied AI ML Associate Senior
JPMorgan Chase7 hours ago
Bengaluru, IndiaSenior
Responsibilities
- Design and deliver agent-based AI solutions from prototype through production deployment.
- Implement human-in-the-loop workflows, fallback behaviors, tool-calling patterns, and agent integrations.
- Evaluate language models through metrics, experiments, and documented performance and trade-offs.
- Build reusable AI tools and integrations connecting models and agents to enterprise data and services.
- Develop end-to-end machine learning pipelines for data preparation, model training or adaptation, validation, and repeatable deployment.
- Apply retrieval-augmented generation and deep learning techniques to use cases including semantic search, entity resolution, forecasting, and anomaly detection.
- Own engineering deliverables through requirements clarification, design, implementation, testing, release, and post-release support.
- Collaborate with engineering, data, business, and other cross-functional stakeholders to establish baselines and improve outcomes.
- Incorporate governance, risk, and control considerations into machine learning solution design and delivery.
Requirements
- Master’s degree or higher in Computer Science, Data Science, or a related discipline, or equivalent.
- At least 5 years of industry experience, including at least 3 years of hands-on experience as a machine learning engineer or data scientist.
- Experience applying machine learning methods including regression, classification, clustering, time series modeling, causal inference, or mathematical optimization.
- Hands-on experience building agent-based solutions and tool integrations using agent frameworks such as Google ADK or LangGraph and agent-to-agent communication patterns.
- Proficiency in Python for production-oriented development, including testing, packaging, and deployment.
- Experience building data pipelines and working with large datasets; PySpark experience is acceptable where relevant.
- Working knowledge of TensorFlow or PyTorch and modern natural language processing techniques.
- Strong written and verbal communication skills and experience partnering across engineering and business functions.
- Preferred experience with enterprise multi-agent solutions, end-to-end machine learning workstreams, large-scale ML systems, cloud-based ML services, the Amazon Web Services machine learning ecosystem, GPU optimization, transformer-based embedding models such as BERT and Sentence-BERT, and prompt optimization.
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About JPMorgan Chase
JPMorgan Chase provides consumer and commercial banking, payments, credit card, wealth management, and corporate and investment banking services to individuals, businesses, institutions, and governments. The public company (NYSE: JPM) earns revenue from interest, fees, trading, and asset management across operations in more than 100 markets. Headquartered in New York City with roots dating to 1799, it serves retail customers and prominent corporate and government clients through brands including Chase and J.P. Morgan.