Applied AI/ML Lead
JPMorgan Chase8 hours ago
Base Salary
$138k - $195k/yr
Responsibilities
- Design, train, evaluate, and fine-tune machine learning, deep learning, and large language models for business use cases.
- Build and maintain scalable ML, feature, and data pipelines for training, deployment, inference, and production monitoring.
- Perform feature engineering, data validation, and preprocessing for large and complex datasets.
- Prototype and evaluate generative AI, retrieval-augmented generation, and agentic AI techniques.
- Integrate models and AI services into applications through APIs while optimizing performance, latency, and cost.
- Implement testing, evaluation, telemetry, and monitoring to detect drift, bias, and model degradation.
- Follow responsible AI and model risk standards and collaborate with data scientists and software engineers on end-to-end solutions.
- Document technical designs, provide code review and mentorship, and lead projects from requirements through implementation, testing, and delivery.
Requirements
- Master's degree in Computer Science, Machine Learning, Data Science, Engineering, Mathematics, or a related quantitative field, or equivalent practical experience.
- At least 6 years of hands-on experience building and deploying ML/AI models in production.
- Strong proficiency in Python, SQL, relational databases, and Linux.
- Experience with scikit-learn, PyTorch, SmartSDK, pandas, and NumPy.
- Knowledge of supervised and unsupervised learning, deep learning, model evaluation, optimization, generative AI, LLMs, prompt engineering, fine-tuning, embeddings, and RAG.
- Experience with Docker, Kubernetes, model versioning, CI/CD, MLflow, Kubeflow, Airflow, Gaia, and GKP for MLOps and model deployment pipelines.
- Hands-on experience with AWS, Azure, or GCP and related machine learning services.
- Experience with Git, software testing, code review, API design, GenAI Gateway services, and Phoenix integrations for telemetry, evaluation, and cost analysis.
- Preferred experience with vector databases, agentic AI frameworks, LLM evaluation, responsible AI, model risk management, regulated-industry AI deployment, or Spark.
Benefits
- Benefits include comprehensive health care coverage, on-site health and wellness centers, retirement savings, backup childcare, tuition reimbursement, mental health support, and financial coaching.
- Competitive total rewards and additional compensation details are provided during the hiring process.
Tech Stack
Apache AirflowApache SparkAWSAzureDockerGitGoogle Cloud PlatformKubernetesLinuxMLflowNumPyPandasPhoenixPythonPyTorchscikit-learnSQL
Categories
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.