JPMorganChase
Machine Learning Engineer - Vice President
JPMorganChase, Jersey City, New Jersey, United States, 07390
Overview
At CDAO (Chief Data Analytics Office), we drive our firm’s strategic investments in AI/ML and data-oriented tools and capabilities. Our Platform Engineering team is at the forefront of building innovative platforms, automating infrastructure operations, and enabling Agentic-based AIOps platforms. Our mission is to enhance scalability, security, and reliability for CDAO-hosted managed services. As a Machine Learning Engineer within our platform operations team, 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. 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. Required Qualifications, Capabilities, And Skills
Bachelor’s degree in Computer Science or equivalent practical experience. Strong experience working with multiple technology teams in a matrixed organization. 7+ 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. 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. Strong problem-solving and analytical skills and excellent communication and collaboration skills. Preferred Qualifications, Capabilities, And Skills
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. Federal Deposit Insurance Act
This position is subject to Section 19 of the Federal Deposit Insurance Act. As such, an employment offer for this position is contingent on JPMorganChase’s review of criminal conviction history, including pretrial diversions or program entries. 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. About The Team
Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we’re setting our businesses, clients, customers and employees up for success. EEO
JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans. 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. Seniority level
Mid-Senior level Employment type
Full-time Job function
Engineering and Information Technology
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At CDAO (Chief Data Analytics Office), we drive our firm’s strategic investments in AI/ML and data-oriented tools and capabilities. Our Platform Engineering team is at the forefront of building innovative platforms, automating infrastructure operations, and enabling Agentic-based AIOps platforms. Our mission is to enhance scalability, security, and reliability for CDAO-hosted managed services. As a Machine Learning Engineer within our platform operations team, 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. 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. Required Qualifications, Capabilities, And Skills
Bachelor’s degree in Computer Science or equivalent practical experience. Strong experience working with multiple technology teams in a matrixed organization. 7+ 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. 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. Strong problem-solving and analytical skills and excellent communication and collaboration skills. Preferred Qualifications, Capabilities, And Skills
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. Federal Deposit Insurance Act
This position is subject to Section 19 of the Federal Deposit Insurance Act. As such, an employment offer for this position is contingent on JPMorganChase’s review of criminal conviction history, including pretrial diversions or program entries. 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. About The Team
Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we’re setting our businesses, clients, customers and employees up for success. EEO
JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans. 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. Seniority level
Mid-Senior level Employment type
Full-time Job function
Engineering and Information Technology
#J-18808-Ljbffr