JPMorganChase is seeking an Applied AIML Engineer to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way, supporting one or more of the firm’s portfolios.
Requirements
- Excellent API design and engineering experience with proven usage of API python frameworks Quart, Flask or FastAPI
- Proficiency in Python & async programming, with a strong emphasis on writing comprehensive test cases using testing frameworks such as pytest to ensure code quality and reliability
- Expertise with Index & Vector DBs such as Opensearch./ElasticSearch
- Extensive experience in deploying AI/ML applications in a production environment, with skills in deploying models on AWS platforms such as SageMaker or Bedrock.
- Champion of MLOps practices, encompassing the full cycle from design, experimentation, deployment, to monitoring and maintenance of machine learning models.
- Experience with generative AI models, including GANs, VAEs, or transformers. Experience with Diffusion models is a plus.
- Solid understanding of data preprocessing, prompt engineering, feature engineering, and model evaluation techniques.
Responsibilities
- Co-Develop and implement LLM-based, machine learning models and algorithms to solve complex operational challenges.
- Design and deploy generative AI applications to automate and optimize business processes.
- Collaborate with stakeholders & Data Scientists to understand business needs and translate them into technical solutions.
- Analyze large datasets to extract actionable insights and drive data-driven decision-making.
- Ensure the scalability and reliability of AI/ML solutions in a production environment.
- Stay up-to-date with the latest advancements in AI/ML technologies & LLMs and integrate them into our operations.
- Mentor and guide junior team members in coding & SDLC standards, AI/ML best practices and methodologies.
Other
- Master’s or Bachelors in Computer Science, Data Science, Machine Learning, or a related field, with a focus on engineering.
- Expertise in cloud storage such as RDS and S3
- Excellent problem-solving skills and the ability to work independently and collaboratively.
- Strong communication skills to effectively convey complex technical concepts to non-technical stakeholders.
- Proven experience in leading projects and teams, with a track record of successful project delivery.
