Applied AI ML Lead - Lead ML Engineer
Bengaluru, Karnataka, India
JPMorgan Chase & Co.
We have an exciting and rewarding opportunity to impact your career and provide an adventure where you can push the limits of what's possible. Our team focuses on applying GenAI, ML and statistical models to solve business problems in the Global Wealth Management space.
As a Lead ML Engineer at JPMorgan Chase within the Asset and Wealth Management Team, you are an integral part of our AI/ML team that works to designs and deliver trusted market-leading technology products in a secure, stable, and scalable way. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives
Job responsibilities
- Work with product managers, data scientists, ML engineers, and other stakeholders to understand requirements.
- Design, develop, and deploy state-of-the-art AI/ML/LLM/GenAI solutions to meet business objectives.
- Develop and maintain automated pipelines for model/product deployment, ensuring scalability, reliability, and efficiency.
- Conduct thorough evaluations of generative models (e.g., GPT-4), iterate on model architectures, and implement improvements to enhance overall performance in NLP applications.
- Implement monitoring mechanisms to track model performance in real-time and ensure model reliability.
- Stay informed about the latest trends and advancements in the latest AI/ML/LLM/GenAI research, implement cutting-edge techniques, and leverage external APIs for enhanced functionality.
- Adds to team culture of diversity, equity, inclusion, and respect.
Required qualifications, capabilities, and skills
- Formal training or certification on software engineering concepts and 5+ years applied experience
- Expertise in designing and implementing AI/ML pipelines.
- Experience in applied AI/ML engineering, with a track record of developing and deploying business critical GenAI, machine learning models in production.
- Proficiency in programming languages like Python for model development, experimentation, and integration with Azure OpenAI API.
- Experience with machine learning frameworks, libraries, and APIs, such as TensorFlow, PyTorch, Scikit-learn, and Langchain/Llamaindex, prompting strategies, RAG
- Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
- Experience with cloud computing platforms (e.g., AWS, Azure, or Google Cloud Platform), containerization technologies (e.g., Docker and Kubernetes), and microservices design, implementation, and performance optimization.
- Solid understanding of fundamentals of statistics, machine learning (e.g., classification, regression, time series, deep learning, reinforcement learning), and generative model architectures.
- Ability to identify and address AI/ML/LLM/GenAI challenges, implement optimizations and fine-tune models for optimal performance in NLP applications.
- Strong collaboration skills to work effectively with cross-functional teams, communicate complex concepts, and contribute to interdisciplinary projects.
Preferred qualifications, capabilities, and skills
- Familiarity with the financial services industries.
- Hands-on knowledge of Chain-of-Thoughts, Tree-of-Thoughts, Graph-of-Thoughts prompting strategies
- A portfolio showcasing successful applications of generative models in NLP projects, including examples of utilizing OpenAI APIs.
JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Agile APIs Architecture AWS Azure Banking CI/CD Classification Deep Learning Docker Engineering GCP Generative AI Generative modeling Google Cloud GPT GPT-4 Kubernetes LangChain LLMs Machine Learning Microservices ML models NLP OpenAI Pipelines Prompt engineering Python PyTorch RAG Reinforcement Learning Research Scikit-learn Security Statistics TensorFlow
Perks/benefits: Career development
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