Develop and productionize machine learning, deep learning, NLP, LLM, and generative AI solutions. Conduct experiments, tune and evaluate models, optimize accuracy and performance, and integrate AI capabilities into a multi-agent platform. Write end-to-end Python code for proofs of concept and production systems while collaborating with product, engineering, and business teams. Preferred work includes distributed training, search and ranking, recommender systems, cloud deployment, and large-scale MLOps.
Bring your Applied Research and AIML skills to the next level and bring your advanced expertise in Machine Learning (ML) to join our dynamic AIML Data Platforms Team.
As an Applied AI ML Associate within our Corporate Sector, you will play a pivotal role in developing machine learning and deep learning solutions and experimenting with state-of-the-art models. Join our dynamic team dedicated to building a high-impact solution using generative technologies. We are focused on developing a multi-agent central platform that will be utilized by various Lines of Business (LOBs). Our team actively collaborates with customers to develop, optimize, and support business-critical use cases, ensuring that our platform meets the evolving needs of our clients.
Job responsibilities
- Serves as a subject matter expert on a wide range of ML techniques and optimizations.
- Provides in-depth knowledge of ML algorithms, frameworks, and techniques.
- Enhances ML workflows through advanced proficiency in large language models (LLMs) and related techniques.
- Conducts experiments using latest ML technologies, analyzing results, tuning models
- Provides has Hands on coding to bring the experimental results into production solutions by collaborating with engineering team. Owning end to end code development in python for both proof of concept/experimentation and production-ready solutions.
- Optimizes system accuracy and performance by identifying and resolving inefficiencies and bottlenecks. Collaborates with product and engineering teams to deliver tailored, science and technology-driven solutions.
- Integrates Generative AI within the ML Platform using state-of-the-art techniques.
Required qualifications, capabilities, and skills
- Experience in one of the programming languages like Python, Java, C/C++, etc. Intermediate Python is a must.
- Solid background in Natural Language Processing (NLP) and Large Language Models (LLMs)
- Hands-on experience with machine learning and deep learning methods.
- Deep understanding and expertise in deep learning frameworks such as PyTorch or TensorFlow.
- Experience in advanced applied ML areas such as GPU optimization, fine tuning, embedding models, inferencing, prompt engineering, evaluation, RAG (Similarity Search).
- Ability to work on tasks and projects through to completion with limited supervision.
- Passion for detail and follow through. Excellent communication skills and team player.
Preferred qualifications, capabilities, and skills
- Master’s degree in computer science, ML or related areas
- Experience with Ray, MLFlow, and/or other distributed training frameworks.
- In-depth understanding of Search/Ranking, Recommender systems, Graph techniques, and other advanced methodologies.
- Deep understanding of Large Language Model (LLM) techniques, including Agents, Planning, Reasoning, and other related methods.
- Experience with building and deploying ML models on cloud platforms such as AWS and AWS tools like Sagemaker, EKS, etc.
- Experience working with large-scale MLOps pipelines, working with and deploying models to production services.
About Us
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 offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
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.
JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans
JPMorganChase New York, New York, USA Office
270 Park Avenue, New York, NY, United States, 10017-2014
JPMorganChase New York, New York, USA Office
4 Metrotech Center, New York, NY, United States, 11201
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