Applied AI/ML Lead
Jersey City, NJ, United States
JPMorgan Chase & Co.
As a Vice President, Applied AI/ML Lead in our technology team, you will have the opportunity to solve exciting business problems in the domain of Network infrastructure. You will be expected to apply your strong curiosity for data and your proven track record of successfully applying rigorous scientific methods with a proficiency in ML Engineering and DevOps capabilities. This is a unique opportunity to apply your interdisciplinary skills and have a direct impact on global business. We are looking for someone with a strong knowledge of ML, Knowledge Graphs, Graph Algorithms, Deep Learning, and experience working with massive amounts of data. You should also have strong software engineering skills and the ability to build systems that reach JP Morgan scale.
We are seeking an experienced Applied AI/ML Engineer/Data Scientist to join our team. As an Applied AI/ML Engineer, you will be responsible for developing and implementing AI/ML solutions to solve complex business problems. You will work closely with cross-functional teams to understand requirements, design and develop AI/ML models, and deploy them into production.
Job Responsibilities:
- Develop and implement AI/ML models and algorithms to solve business problems.
- Collaborate with cross-functional teams to understand requirements and translate them into technical solutions.
- Design and develop data pipelines to preprocess and transform data for AI/ML models.
- Train and evaluate AI/ML models using large datasets.
- Optimize and fine-tune AI/ML models for performance and accuracy.
- Deploy AI/ML models into production environments.
- Monitor and maintain deployed models, ensuring their performance and reliability.
- Stay up-to-date with the latest advancements in AI/ML technologies and techniques.
- Responsible for designing graph data models specifically for algorithm optimization.
- Responsible for designing and adding the data from the physical and logical infrastructure components and their relationships.
- Developing and implementing data ETL pipelines within AWS
Required qualifications, capabilities, and skills:
- Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
- 5-7 years of demonstrated experience in applied AI/ML engineering.
- Strong programming skills in Python, with experience in developing and maintaining production-level code.
- Experience with designing and implementing graph databases, such as Amazon Neptune, TigerGraph.
- Proficiency in working with large datasets and data preprocessing.
- Solid understanding of AI/ML algorithms and techniques, including deep learning, reinforcement learning, and natural language processing.
- Familiarity with AI/ML libraries and frameworks, such as TensorFlow, PyTorch, scikit-learn, and Keras.
- Experience in creating infrastructure graph data models
- Experience with cloud platforms, such as AWS or Azure, for deploying and scaling AI/ML models.
- Experience with ETL tools such as Airflow, and Jenkins.
- Strong problem-solving and analytical skills.
- Excellent communication and collaboration skills.
- Knowledge of infrastructure operations
Preferred Qualifications, capabilities and skills
- Experience with distributed computing frameworks, such as Apache Spark.
- Knowledge of graph-based AI/ML algorithms and techniques.
- Familiarity with DevOps practices for AI/ML model deployment and monitoring.
JPMorgan Chase & Co., 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. For those in eligible roles, we offer discretionary incentive compensation which may be awarded in recognition of firm performance and 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 is an Equal Opportunity Employer, including Disability/Veterans
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Airflow AWS Azure Banking Computer Science Data pipelines Deep Learning DevOps Engineering ETL Keras Machine Learning ML models Model deployment NLP Pipelines Python PyTorch Reinforcement Learning Scikit-learn Spark TensorFlow
Perks/benefits: Career development Competitive pay Health care Wellness
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