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applied ai ml lead - java / python

compliance - applied ai/ml senior associate Jobs in Jersey City

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data and ai software engineer ii

director of software engineering - data product engineering Jobs in Jersey City

machine learning engineer

JPMorganChase

<div><b>JOB DESCRIPTION</b><p><br>
Are you passionate about leveraging advanced technology to solve complex business challenges? As an applied AI/ML, you will have the opportunity to shape the future of document management through cutting-edge AI and machine learning. Join a collaborative team where your expertise will drive impactful solutions and strategic outcomes. This role offers a platform to innovate, lead, and make a difference across the organization.</p><p>
As a Machine Learning Engineer &ndash; Document Digitization (LLMs)- Senior Associate in our organization, you will design, develop, and deploy secure, scalable, and innovative technology products that transform how documents are processed and managed. You will use advanced AI and machine learning to extract, analyze, and manage information, driving strategic business outcomes. You will collaborate with cross-functional teams, mentor others, and continuously seek opportunities for improvement and innovation.</p><p><b>
Job responsibilities</b></p><ul><li>
Design, development, and integration of AI-powered document digitization solutions, focusing on extracting information and insights from diverse document types.</li><li>
Manage the end-to-end AI/ML lifecycle: model training, validation, deployment, monitoring, and continuous improvement in production environments.</li><li>
Employ generative AI, and large language models (LLMs) to automate and optimize document workflows.</li><li>
Build and maintain scalable document digitization pipelines using Python, AI frameworks, and cloud technologies.</li><li>
Provision and manage cloud resources using infrastructure as code tools (Terraform) and AWS services (SageMaker, Bedrock).</li><li>
Ensure scalability, reliability, security, and compliance of AI/ML solutions, adhering to best practices and governance standards.</li><li>
Collaborate with cross-functional teams to reimagine legacy document processing systems using generative AI and LLMs.</li><li>
Develop and maintain dashboards and reporting tools to monitor digitization accuracy, workflow efficiency, and business impact.</li><li>
Mentor junior engineers and promote best practices in AI/ML, software engineering, and testing.</li><li>
Conduct model validation, human-in-the-loop review, and implement continuous improvement strategies for digitization accuracy.</li><li>
Contribute to communities of practice and explore new and emerging technologies.</li></ul><p>
</p><p><b>Required qualifications, capabilities, and skills</b></p><ul><li>
Bachelor&rsquo;s or Master&rsquo;s in Computer Science, Data Science, Machine Learning, or related field, with relevant industry experience.</li><li>
Strong proficiency in Python programming; familiarity with Java and front-end technologies (React.JS, AngularJS).</li><li>
Hands-on experience with AI/ML model development, deployment, and MLOps practices in production environments.</li><li>
Expertise in machine learning frameworks (TensorFlow, PyTorch, Scikit-learn, PyTorch Lightning).</li><li>
Knowledge of generative AI models (GANs, VAEs, transformers, diffusion models) and LLMs.</li><li>
Experience with AWS cloud platforms (SageMaker, Bedrock), containerization (Docker, Kubernetes, Amazon EKS), and infrastructure as code (Terraform).</li><li>
Familiarity with NoSQL databases (Mongo Atlas, ElasticSearch, OpenSearch, Neo4J).</li><li>
Experience with agentic coding approaches, autonomous code agents, and last sprinting code generation.</li><li>
Strong understanding of SDLC, CI/CD, resiliency, and security practices.</li><li>
Demonstrated ability to accelerate development using AI technologies.</li><li>
Experience deploying and maintaining AI/ML solutions in large-scale, production environments. and strong problem-solving, communication, and collaboration skills.</li></ul><p>
</p><p><b>Preferred qualifications, capabilities, and skills</b></p><ul><li>
Experience in financial services, especially investment banking or credit risk operations</li><li>
Expertise in agentic AI frameworks, prompt optimization, and fine-tuning SLMs</li><li>
Familiarity with distributed computing, data sharing, and DDP training</li><li>
Experience in design/code reviews and mentoring teams</li><li>
AWS Generative AI Developer Professional certification or equivalent</li></ul>
<b>ABOUT US</b><br>
<div>
<div>JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world&rsquo;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.
</div><p></p><div><p>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.
</p><div><p>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&rsquo; and employees&rsquo; religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.</p>
<p>JPMorgan Chase &amp; Co. is an Equal Opportunity Employer, including Disability/Veterans</p><br>
</div></div></div><br>
<br>
<b>ABOUT THE TEAM</b><br>
<br>
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&rsquo;re setting our businesses, clients, customers and employees up for success.</div>

Machine Learning Engineer – Document Digitization (LLMs)-Senior Associate

<div><b>JOB DESCRIPTION</b><p><br>
Join JPMorganChase&rsquo;s MLCOE to turn cutting-edge AI into production at enterprise scale.</p><p>
The Machine Learning Center of Excellence (MLCOE) team partners across the firm to create and share Machine Learning Solutions for our most challenging business problems. In this role you will work and collaborate with a team comprised of a multi-disciplinary community of experts focused exclusively on Machine Learning. On this team you will work with cutting-edge techniques in disciplines such as Deep Learning and Reinforcement Learning.</p><p>
As a Lead Software Engineer at JPMorgan Chase within the Corporate Sector &ndash; AIML Data Platforms and Machine Learning Center of Excellence Team, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm&rsquo;s business objectives.</p><p>
</p><p><b>Job responsibilities</b></p><p>
</p><ul><li>Designs, develops and maintains production grade software</li><li>
Engineers data pipelines to ingest and transform large volumes of data.</li><li>
Feeds processed data into machine learning model pipelines.</li><li>
Stores resulting data in data warehouses and data lakes.</li><li>
Design sand implements end-to-end machine learning model pipelines, from data input to serving outputs to a large user base.</li><li>
Deploys complete systems into production environments.</li><li>
Resolves production issues within a 5-hour SLA.</li><li>
Adds new features and maintains product code to ensure ongoing system performance and reliability.</li></ul><p>
</p><p><b>Required qualifications, capabilities, and skills</b></p><ul><li>
Formal training or certification on software engineering concepts and 5+ years applied experience</li><li><p>
Infrastructure design for large-scale machine learning model deployment using tools like Terraform or AWS Infrastructure as Code.</p></li><li><p>
Building metrics and setting up AWS CloudWatch monitors and alarms for infrastructure and application performance.</p></li><li><p>
Working with data lakes (Amazon S3) and data warehouses (AWS Redshift).</p></li><li><p>
Utilizing AWS services and CI/CD pipelines for deploying and maintaining machine learning applications.</p></li><li><p>
Developing dynamic, interactive dashboards with Tableau or Qlik Sense, including advanced visualization, ETL automation, and ODBC connectors.</p></li><li><p>
Data manipulation, structuring, design flow, and query optimization using SQL and Python.</p></li><li><p>
Processing large datasets with data containers, multithreading, and multiprocessing in PySpark and TensorFlow.</p></li><li><p>
Developing software or microservices deployed as REST APIs.</p></li><li><p>
Using AWS Kinesis and Firehose for large-scale data ingestion and ETL with AWS Glue.</p></li><li><p>
Developing and automating high-performance, large-scale data processing systems.</p></li></ul><p>
</p><p><b>Preferred qualifications, capabilities, and skills</b></p><p>
</p><ul><li>Familiarity with recent large language model technologies</li><li>
Familiarity with engineering systems using large language models</li><li>
Familiarity with LLM tools such as Langchain or Haystack</li></ul>
<b>ABOUT US</b><br>
<div>
<div>JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world&rsquo;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.
</div><p></p><div><p>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.
</p><div><p>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&rsquo; and employees&rsquo; religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.</p>
<p>JPMorgan Chase &amp; Co. is an Equal Opportunity Employer, including Disability/Veterans</p><br>
</div></div></div><br>
<br>
<b>ABOUT THE TEAM</b><br>
<br>
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&rsquo;re setting our businesses, clients, customers and employees up for success.</div>

Lead Software Engineer - Python AWS GenAI

<div><b>JOB DESCRIPTION</b><p><br>
Bring your Software Engineering experience to the next level and join The Machine Learning Center of Excellence (MLCOE) Team.
</p><p>Join JPMorganChase&rsquo;s MLCOE to turn cutting-edge AI into production at enterprise scale.
</p><p>The Machine Learning Center of Excellence (MLCOE) team partners across the firm to create and share Machine Learning Solutions for our most challenging business problems. In this role you will work and collaborate with a team comprised of a multi-disciplinary community of experts focused exclusively on Machine Learning. On this team you will work with cutting-edge techniques in disciplines such as Deep Learning and Reinforcement Learning.</p><p>
As a Lead Software Engineer at JPMorgan Chase within the Corporate Sector &ndash; AIML Data Platforms and Machine Learning Center of Excellence Team, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm&rsquo;s business objectives.</p><p>
</p><p><b>Job responsibilities</b></p><p>
</p><ul><li>Designs, develops and maintains production grade software</li><li>
Engineers data pipelines to ingest and transform large volumes of data.</li><li>
Feeds processed data into machine learning model pipelines.</li><li>
Stores resulting data in data warehouses and data lakes.</li><li>
Design sand implements end-to-end machine learning model pipelines, from data input to serving outputs to a large user base.</li><li>
Deploys complete systems into production environments.</li><li>
Resolves production issues within a 5-hour SLA.</li><li>
Adds new features and maintains product code to ensure ongoing system performance and reliability.</li></ul><p>
</p><p><b>Required qualifications, capabilities, and skills</b></p><ul><li>
Formal training or certification on software engineering concepts and 5+ years applied experience</li><li>
Proficiency in Python coding
</li><li><p>Infrastructure design for large-scale machine learning model deployment using tools like Terraform or AWS Infrastructure as Code.</p></li><li><p>
Building metrics and setting up AWS CloudWatch monitors and alarms for infrastructure and application performance.</p></li><li><p>
Working with data lakes (Amazon S3) and data warehouses (AWS Redshift).</p></li><li><p>
Utilizing AWS services and CI/CD pipelines for deploying and maintaining machine learning applications.</p></li><li><p>
Developing dynamic, interactive dashboards with Tableau or Qlik Sense, including advanced visualization, ETL automation, and ODBC connectors.</p></li><li><p>
Data manipulation, structuring, design flow, and query optimization using SQL and Python.</p></li><li><p>
Processing large datasets with data containers, multithreading, and multiprocessing in PySpark and TensorFlow.</p></li><li><p>
Developing software or microservices deployed as REST APIs.</p></li><li><p>
Using AWS Kinesis and Firehose for large-scale data ingestion and ETL with AWS Glue.</p></li><li><p>
Developing and automating high-performance, large-scale data processing systems.</p><p>
</p></li></ul><p><b>Preferred qualifications, capabilities, and skills</b></p><ul><li>
Familiarity with recent large language model technologies</li><li>
Familiarity with engineering systems using large language models</li><li>
Familiarity with LLM tools such as Langchain or Haystack</li></ul>
<b>ABOUT US</b><br>
<div>
<div>JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world&rsquo;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.
</div><p></p><div><p>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.
</p><div><p>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&rsquo; and employees&rsquo; religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.</p>
<p>JPMorgan Chase &amp; Co. is an Equal Opportunity Employer, including Disability/Veterans</p><br>
</div></div></div><br>
<br>
<b>ABOUT THE TEAM</b><br>
<br>
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&rsquo;re setting our businesses, clients, customers and employees up for success.</div>

Lead Software Engineer- (Python)

<div><b>JOB DESCRIPTION</b><p><br>
Be an integral part of an agile team that's constantly pushing the envelope to enhance, build, and deliver top-notch technology products.</p><p>
As a Lead Software Engineer at JPMorgan Chase, within<b> Commercial </b>and <b>Investment Banking team,</b> you will play a key role in an agile team dedicated to building, enhancing, and delivering trusted, market-leading technology products. You will leverage your deep technical expertise and problem-solving skills to address complex challenges across multiple technologies and applications, driving significant business impact through your contributions.</p><p>
Roles and Responsibilities
</p><ul><li>Research, develop, and productionize high-performance machine learning and quantitative models.</li><li>
Collaborate with product and business to deliver impactful software solutions.</li><li>
Design and implement scalable data processing pipelines to optimize business results.</li></ul><p>
Required Skills
</p><ul><li>Formal training or certification in software engineering concepts and 5+ years of applied experience</li><li>
Deep knowledge in Machine Learning, Deep Learning, and related fields.</li><li>
Experience with major machine learning frameworks like TensorFlow and PyTorch.</li><li>
Skilled in ETL pipelines and real-time data processing.</li><li>
Strong analytical and critical thinking skills.</li><li>
Self-motivated, with excellent communication and teamwork abilities.</li></ul><p>
Desired Skills
</p><ul><li>Experience with computational graphs and JIT compilation.</li><li>
Knowledge of hardware accelerators, GPUs, and profiling tools.</li><li>
Familiarity with cloud computing platforms (Google Cloud, AWS, Azure).</li><li>
Experience in distributed system design and development.</li><li>
Background in derivatives modeling or portfolio management.</li></ul>
<b>ABOUT US</b><br>
<div>
<div>JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world&rsquo;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.
</div><p></p><div><p>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.
</p><div><p>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&rsquo; and employees&rsquo; religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.</p>
<p>JPMorgan Chase &amp; Co. is an Equal Opportunity Employer, including Disability/Veterans</p><br>
</div></div></div><br>
<br>
<b>ABOUT THE TEAM</b><br>
<br>
J.P. Morgan&rsquo;s Commercial &amp; Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial &amp; Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.</div>

Lead Software Engineer - ML / Blockchain

<div><b>JOB DESCRIPTION</b><p><br>
We have an exciting and rewarding opportunity for you to take your software engineering career to the next level.
</p><p>As a Software Engineer III - AI/ML Engineer at JPMorganChase within the AI For Technology group, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm&rsquo;s business objectives.</p><div><b>
Job responsibilities</b></div><div>
</div><ul><li>Deliver AI/ML projects through our ML development life cycle using Agile methodology. Help transform business requirements into AI/ML specifications, define milestones, and ensure timely delivery.</li><li>
Executes solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems</li><li>
Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems</li><li>
Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development</li><li>
Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems</li><li>
Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture</li><li>
Contributes to software engineering communities of practice and events that explore new and emerging technologies</li></ul><div>
</div><div></div><div><b>Required qualifications, capabilities, and skills</b></div><div>
</div><ul><li><p>Formal training or certification on software engineering concepts and 3+ years applied experience</p></li><li>
Experience as a hands-on practitioner developing production AI/ML solutions.</li><li>
Familiarity with agentic workflows and relevant frameworks, such as LangChain, LangGraph, Auto-GPT etc.</li><li>
Deep knowledge and experience in machine learning and artificial intelligence.
</li><li>Expert in at least one of the following areas: Large Language Models, Natural Language Processing, Knowledge Graph, Computer Vision, Speech Recognition, Reinforcement Learning, Ranking and Recommendation, or Time Series Analysis.</li><li>
Knowledge of Data structures, Algorithms, Machine Learning, Data Mining, Information Retrieval, Statistics.</li><li>
Demonstrated understanding in machine learning frameworks: Tensorflow, Pytorch, pyG, Keras, MXNet, Scikit-Learn.</li><li>
Strong programming knowledge of python, spark; Strong grasp on vector operations using numpy, scipy; Strong grasp on distributed computation using Multithreading, Multi GPUs, Dask, Ray, Polars etc.
</li><li>Familiarity in AWS Cloud services such as EMR, Sagemaker etc.,
</li><li>Overall knowledge of the Software Development Life Cycle</li><li><p>
Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security</p><p>
</p></li></ul><div><b>Preferred qualifications, capabilities, and skills</b></div><div>
</div><ul><li>Exposure to cloud technologies</li></ul><p>
</p><p></p><b>ABOUT US</b><br>
<div>
<div>JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world&rsquo;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.
</div><p></p><div><p>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.
</p><div><p>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&rsquo; and employees&rsquo; religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.</p>
<p>JPMorgan Chase &amp; Co. is an Equal Opportunity Employer, including Disability/Veterans</p><br>
</div></div></div><br>
<br>
<b>ABOUT THE TEAM</b><br>
<br>
J.P. Morgan&rsquo;s Commercial &amp; Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial &amp; Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.</div>

Software Engineer III - Agentic AI, Java/Python

<div><b>JOB DESCRIPTION</b><p><br>
We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.</p><p>
As a Lead Software Engineer at JPMorgan Chase within the <b>Commercial </b>and <b>Investment Banking team</b>, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm&rsquo;s business objectives.</p><p><b>
Job responsibilities</b></p><ul><li>
Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems</li><li>
Develops secure high-quality production code, and reviews and debugs code written by others</li><li>
Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems</li><li>
Leads evaluation sessions with external vendors, startups, and internal teams to drive outcomes-oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture</li><li>
Leads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies</li><li>
Adds to team culture of diversity, opportunity, inclusion, and respect</li></ul><p><b>
Required qualifications, capabilities, and skills</b></p><ul><li>
Formal training or certification in software engineering concepts and 5+ years of applied experience</li><li>
Deep knowledge in Machine Learning, Deep Learning, and related fields.</li><li>
Advanced in one or more programming language(s)</li><li>
Proficiency in automation and continuous delivery methods</li><li>
Proficient in all aspects of the Software Development Life Cycle</li><li>
Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security</li><li>
Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)</li><li>
In-depth knowledge of the financial services industry and their IT systems</li><li>
Practical cloud native experience</li></ul><p><b>
Preferred qualifications, capabilities, and skills</b></p><ul><li>
Extensive hands-on experience with Java and the Spring framework, including designing and building scalable backend systems.</li><li>
Practical experience with cloud platforms (such as AWS, Azure, or Google Cloud), including deploying, managing, and scaling applications in cloud environments.</li><li>
Deep understanding of blockchain technologies, with experience working on public blockchains like Ethereum and Solana, as well as institutional/private blockchains.</li><li>
Familiarity with smart contract development, decentralized applications (dApps), and integrating blockchain solutions with traditional enterprise systems.</li><li>
Experience leading teams in adopting new technologies and best practices across software engineering communities.</li><li>
Strong problem-solving skills and ability to drive innovation in complex technical environments.</li></ul>
<b>ABOUT US</b><br>
<div>
<div>JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world&rsquo;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.
</div><p></p><div><p>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.
</p><div><p>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&rsquo; and employees&rsquo; religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.</p>
<p>JPMorgan Chase &amp; Co. is an Equal Opportunity Employer, including Disability/Veterans</p><br>
</div></div></div><br>
<br>
<b>ABOUT THE TEAM</b><br>
<br>
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&rsquo;re setting our businesses, clients, customers and employees up for success.</div>

Lead Software Engineer - Blockchain / Java

<div><b>JOB DESCRIPTION</b><p><br>
The Legal Applied AI/ML team in Corporate Technology at JPMorgan Chase focuses on solving challenging business problems such as semantic search, question answering, document analysis, automation of service inquiries through data science and ML techniques, particularly using GenAI and LLM tools and techniques. You will work with the firm&rsquo;s rich data pool from both internal and external sources using GenAI tools and frameworks, Python/Spark via AWS and other systems. You are also expected to derive business insights from technical results and be able to present them to non-technical audience.
</p><p>As an Applied AI ML Data Scientist-Senior Associate on Corporate team, you will have the opportunity to study complex business problems and apply advanced algorithms to develop, test, and evaluate AI/ML applications or models for those problems.
</p><p><b>Job responsibilities</b></p><ul><li>
Work closely with product managers, data scientists, ML engineers, and other stakeholders to understand requirements and prioritize use cases.</li><li>
Develop GenAI and LLM solutions to solve business problems.</li><li>
Implement optimization strategies to fine-tune generative models for specific GenAI use cases, ensuring high-quality outputs.
</li><li>Execute tasks throughout a model development process including data wrangling/analysis, model training, testing, and selection.
</li><li>Generate structured and meaningful insights from data analysis and modelling exercise and present them in appropriate format according to the audience.
</li><li>Communicate AI/GenAI capabilities and results to both technical and non-technical audiences.
</li><li>Stay informed about the latest trends and advancements in the latest AI research, implement cutting-edge techniques, and leverage external APIs for enhanced functionality.
</li></ul><p></p><p><b>Required qualifications, capabilities, and skills</b></p><ul><li>
PhD in Computer Science or a related quantitative discipline with 1+ years of relevant experience or MS/BS in Computer Science or a related field with 2+ years of relevant experience.</li><li>
Practical expertise with LLM projects as well as other supervised and unsupervised techniques; proven track record of deploying AI/ML applications in a production environment.</li><li>
Proficient programming skills with Python and SQL as well as practical experience with other languages such as R, Java and other equivalent languages.</li><li>
Demonstrated experience working with large and complicated datasets.</li><li>
Experience with ML frameworks, libraries, and APIs, such as TensorFlow, PyTorch, Scikit-learn, and OpenAI API.</li><li>
Experience integrating user feedback to establish agentic refinement and self-improving AI applications.</li><li>
Solid understanding of fundamentals of statistics and machine learning (e.g., classification, regression, time series, deep learning, reinforcement learning) and generative model architectures, particularly Transformer.</li><li>
Ability to identify and address AI/LLM challenges, implement optimizations and tune models for optimal performance in NLP applications.</li><li>
Excellent problem solving, communication (verbal and written), and teamwork skills.</li></ul><p>
</p><p></p><p><b>Preferred qualifications, capabilities, and skills</b></p><ul><li>
Experience working with engineering teams to operationalize ML models.</li><li>
Expertise in designing and implementing pipelines using RAG and Agentic AI framework</li><li>
Hands-on knowledge of Chain-of-Thoughts, Tree-of-Thoughts, Graph-of-Thoughts prompting strategies.
</li></ul><p></p><b>ABOUT US</b><br>
<div>
<div>JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world&rsquo;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.
</div><p></p><div><p>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.
</p><div><p>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&rsquo; and employees&rsquo; religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.</p>
<p>JPMorgan Chase &amp; Co. is an Equal Opportunity Employer, including Disability/Veterans</p><br>
</div></div></div><br>
<br>
<b>ABOUT THE TEAM</b><br>
<br>
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&rsquo;re setting our businesses, clients, customers and employees up for success.</div>

Applied AIML Data Scientist-Senior Associate

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