AI Analytics Solutions Manager
Role details
Job location
Tech stack
Job description
- Hands on coding to bring the experimental results into production solutions by collaborating with engineering team.
- Owning end to end code development for both proof of concept/experimentation and production-ready solutions.
- Contribute to the development and implementation of AI strategies that align with JPMorgan Chase's objectives and drive innovation.
- Design, develop, and deploy AI models and solutions.
- Collaborate with cross-functional teams to integrate AI technologies into existing products and services.
- Ensure the scalability, performance, and security of AI solutions.
- Implement technology risk controls to safeguard AI systems and data integrity.
- Develop and maintain business continuity plans to ensure the resilience and availability of AI services.
- Foster a culture of continuous learning and improvement.
Requirements
We are seeking a highly skilled and experienced, AI Analytics Solutions Manager within JPMorgan Chase in Cybersecurity Technology & Controls. You will contribute to our AI development efforts. The ideal candidate will have a strong background in (AI) artificial intelligence, (ML) machine learning, and data science, with a proven track record of leveraging popular AI products and services to deliver impactful solutions. This role requires a strategic thinker with the ability to drive AI initiatives that are innovative and align to our Technology Risk and Resiliency Goals., * Obtain 6+ years of experience in AI/ML development and application knowledge with a Bachelors Degree in Computer Science, Data Science, Artificial Intelligence, Computer Science, Engineering, or similar STEM discipline.
- Strong understanding of GenAI and LLM technologies and their applications.
- Experience with AI/ML frameworks and libraries.
- Proven experience with AI and machine learning frameworks such as TensorFlow, PyTorch, or Keras.
- Familiarity with cloud-based AI services such as AWS SageMaker, Google AI Platform, or Microsoft Azure AI.
- Proficiency in programming languages such as Python or R for AI/ML model development/deployment.
- Ability to translate complex technical concepts into clear documentation and presentations.
- Strong problem-solving skills and a creative approach to AI/ML application.
- Hands-on knowledge of Chain-of-Thoughts, Tree-of-Thoughts, Graph-of-Thoughts prompting strategies.
- Cloud computing: Amazon Web Service, Azure, Docker, Kubernetes, DataBricks, Snowflakes.
Preferred qualifications, capabilities, and skills:
- Experience with natural language processing (NLP) and computer vision technologies.
- Knowledge of big data technologies such as Hadoop, Spark, or Kafka.
- Experience in deploying AI models in production environments.
- Experience in implementing technology risk controls and business continuity planning.
Benefits & conditions
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.