Machine Learning Engineer - Senior Associate

JPMorgan Chase & Co.•Chicago, IL

About The Position

Are you looking for an exciting opportunity to solve exciting business problems? Our Technology team builds innovative products, services, applications to support various business functions, workflows of Wholesale Lending Services. As a Machine Learning Engineer - Senior Associate within the CIB Technology team at JPMorganChase, you will be tasked with the design, construction, and maintenance of our AIOps solution. This role demands a profound knowledge of AI/ML technologies, IT infrastructure, and platform engineering.

Requirements

Bachelor’s degree in Computer Science or equivalent practical experience.
5+ years of experience as a software developer with a focus on integrating AI/ML solutions.
Strong programming skills in Python, with experience in developing and maintaining production-level code.
Hands on experience of Large Language Model (LLM) techniques, including Agents, Planning, Reasoning, and other related methods.
In-depth experience with /Ranking, Recommender systems, RAG (Similarity Search), Agent systems, and other advanced methodologies.
Experience with application architecture and design patterns.
Proficiency in working with large datasets and data preprocessing.
Solid understanding of AI/ML algorithms and techniques, including deep learning and natural language processing.
Familiarity with AI/ML libraries and frameworks, such as TensorFlow, PyTorch, scikit-learn, and Keras.
Experience with cloud platforms, such as AWS or Azure, for deploying and scaling software applications.
Experience with CI/CD, Observability and Monitoring solutions such Jenkins, Phoenix Arise, Splunk etc.

Nice To Haves

Familiarity with DevOps practices for software deployment and monitoring.
Experience with SQL and NoSQL databases, Linux/Unix environments, and tools like Terraform and Apache Kafka.
Experience with distributed computing frameworks, such as Apache Spark.
Experience in implementing SRE practices to improve system reliability and performance.

Responsibilities

Design, develop, and maintain software applications with integrated AI/ML capabilities with a key focus on AIOps.
Collaborate with cross-functional teams to gather and analyze requirements, translating them into technical solutions.
Develop and implement software architecture and design patterns to ensure scalability and performance.
Write clean, maintainable, and efficient code in one or more general-purpose programming languages: Python, Java, C, C++, Go.
Implement and manage data pipelines to preprocess and transform data for AI/ML models.
Integrate AI/ML models into software applications and ensure seamless deployment into production environments.
Optimize software applications for performance, reliability, and scalability.
Conduct code reviews and provide technical guidance to junior developers.
Stay up-to-date with the latest advancements in software engineering and AI/ML technologies.
Ensure adherence to software development best practices, including agile and lean methodologies.
Apply SRE principles to enhance system reliability, performance, and availability. Implement monitoring and alerting solutions to proactively identify and resolve issues.