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ai ml engineer software engineer iii

JPMorganChase

<div>JOB DESCRIPTION 
We have an exciting and rewarding opportunity for you to take your software engineering career to the next level.
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.<div>
Job responsibilities</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>Required qualifications, capabilities, and skills</div><div>
</div><ul><li>Formal training or certification on software engineering concepts and 3+ years applied experience</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>
Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
</li></ul><div>Preferred qualifications, capabilities, and skills</div><div>
</div><ul><li>Exposure to cloud technologies</li></ul>
ABOUT US 
<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><div>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.
<div>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.
JPMorgan Chase &amp; Co. is an Equal Opportunity Employer, including Disability/Veterans 
</div></div></div> 
 
ABOUT THE TEAM 
 
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>

AI/ML Engineer - Software Engineer III

Tiger Analytics

<div>Tiger Analytics is a fast-growing advanced analytics consulting firm. Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best analytics global consulting team in the world.
We are seeking an experienced Data Engineer to join our data team. In this role, you will be responsible for designing, building, and maintaining scalable data pipelines, data integration processes, and data infrastructure on AWS cloud. You will collaborate closely with data scientists, analysts, and AI teams to support analytics, machine learning, and Generative AI initiatives across the organization. 
Requirements 
Key Responsibilities<ul><li>
Design, develop, and deploy end-to-end data pipelines on AWS cloud infrastructure using services such as Amazon S3, AWS Glue, AWS Lambda, Amazon Redshift, etc.</li><li>
Implement data processing and transformation workflows using Databricks, Apache Spark, and SQL to support analytics, reporting, and AI-driven use cases.</li><li>
Build and maintain orchestration workflows using Apache Airflow to automate data pipeline execution, scheduling, and monitoring.</li><li>
Support data preparation and ingestion for AI/ML and Generative AI workloads, including handling structured and unstructured datasets.</li><li>
Enable data pipelines that support LLM-based applications, vector embeddings, and knowledge retrieval systems.</li><li>
Lead the migration of legacy data systems to modern cloud-based data architectures.</li><li>
Develop and maintain CI/CD pipelines for data workflows and platform automation.</li><li>
Collaborate with data scientists, ML engineers, and AI teams to ensure data availability for model training, inference, and GenAI applications.</li><li>
Optimize data pipelines for performance, reliability, scalability, and cost-effectiveness using AWS best practices.</li></ul>
Required Skills<ul><li>
8+ years experience as a Data Engineer working with AWS cloud services.</li><li>
Hands-on experience with AWS services such as S3, Glue, Lambda, Redshift, and related data platform tools.</li><li>
Experience building data pipelines using Databricks, Apache Spark, and SQL.</li><li>
Experience with Apache Airflow for workflow orchestration.</li><li>
Strong understanding of data modeling, data lake/lakehouse architectures, and ETL/ELT frameworks.</li><li>
Experience with CI/CD pipelines and version control systems (Git).</li><li>
Exposure to Generative AI or LLM-based applications.</li><li>
Experience supporting data pipelines for AI/ML workloads.</li><li>
Familiarity with vector databases, embeddings, and Retrieval-Augmented Generation (RAG) architectures.</li><li>
Experience working with LLM APIs or AI frameworks such as LangChain.</li><li>
Understanding of MLOps workflows and model deployment pipelines.</li></ul> 

Benefits 
Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, challenging, and entrepreneurial environment, with a high degree of individual responsibility.
Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.</div>

Senior Data Engineer

Information Technology Senior Management Forum

<div><div>Posted Date
3/10/2026
</div><div>Description
<div>We are seeking a highly skilled and motivated Machine Learning Engineer to join our technology team. The ideal candidate will be responsible for designing, developing, and deploying cutting-edge applications that leverage Generative AI and Large Language Models (LLMs). This role involves architecting end-to-end platform services with a focus on scalability, reliability, and performance. You will be a key player in driving the implementation of new AI-driven systems and programs that will impact all business line at Citi globally.
Responsibilities<ul><li>
Architect and Build AI Solutions: Design and architect end-to-end platform capabilities and services that integrate with Generative AI technologies.</li><li>
Implement RAG Solutions: Develop and deploy solutions using VectorRAG and GraphRAG techniques with both open-source and commercial Large Language Models.</li><li>
Develop AI Workflows: Apply a strong understanding of Agentic AI workflows and frameworks to build sophisticated, automated systems.</li><li>
Drive DevOps Best Practices: Implement robust CI/CD pipelines, automated testing, and containerization (Docker, Kubernetes) to streamline the development and deployment of machine learning models.</li><li>
End-to-End Project Ownership: Manage your deliverables from conception to deployment, proactively identifying and mitigating risks to ensure project goals are met.</li><li>
Rapid Prototyping: Perform and lead quick proof-of-concept (POC) projects to evaluate and demonstrate the feasibility of new GenAI use cases.</li><li>
Ensure System Integrity: Appropriately assess and manage risk in all technical and business decisions, ensuring compliance with applicable laws, rules, and regulations, and maintaining transparency in reporting and managing control issues.</li><li>
Collaborate and Innovate: Work closely with cross-functional teams to solve complex problems, adapt quickly to changing priorities, and contribute to a culture of innovation.</li></ul>
Required Qualifications<ul><li>
Experience: 5+ years of relevant experience in Software Development or a Systems Analysis role, with a strong focus on machine learning.</li><li>
Programming Skills: Strong object-oriented programming skills with expert-level proficiency in Python.</li><li>
AI/ML Expertise: Deep experience with AI/ML frameworks (e.g., Langchain) and hands-on experience with Generative AI technologies and Large Language Models.</li><li>
Application Development: Proven experience building applications that apply LLMs and GenAI to use cases such as search, chat agents, and guided analytics.</li><li>
DevOps Knowledge: Strong, working knowledge of DevOps tools (e.g., Jenkins, GitLab, Docker, Kubernetes) and Infrastructure as Code (IaC) practices.</li><li>
Architectural Understanding: Solid understanding of modern software development practices, including microservices architecture and API design principles.</li><li>
Data Proficiency: Experience with various data storage solutions (e.g., NoSQL, SQL, data lakes) and data pipeline orchestration.</li><li>
Problem-Solving: Excellent analytical and problem-solving skills with a proven ability to troubleshoot complex technical issues and provide innovative solutions.</li></ul>
Education:
Bachelor's Degree in Computer Science, Computer Engineering, Information Systems or equivalent work experience
Desired Skills
<ul><li>Cloud Architecture: Experience with various cloud platforms (e.g., AWS, GCP, Azure) and architectures (e.g., single/multi-tenant).</li><li>
Large-Scale Systems: Experience designing and implementing microservices-based architectures for large-scale platforms in complex environments.</li><li>
Leadership: Demonstrated leadership, project management skills, and a proven track record of self-motivation and continuous learning.</li></ul>
-
Job Family Group:
Technology
-
Job Family:
Applications Development
-
Time Type:
Full time
-
Primary Location:
Jersey City New Jersey United States
-
Primary Location Full Time Salary Range:
$142,320.00 - $213,480.00 
In addition to salary, Citi&rsquo;s offerings may also include, for eligible employees, discretionary and formulaic incentive and retention awards. Citi offers competitive employee benefits, including: medical, dental &amp; vision coverage; 401(k); life, accident, and disability insurance; and wellness programs. Citi also offers paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays. For additional information regarding Citi employee benefits, please visit citibenefits.com. Available offerings may vary by jurisdiction, job level, and date of hire.
-
Most Relevant Skills
Please see the requirements listed above.
-
Other Relevant Skills
AI Frameworks, Generative AI, Large Language Model (LLM) Fine-Tuning, ML Frameworks, Python (Programming Language).
-
Anticipated Posting Close Date:
Mar 16, 2026
-
Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. 
If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi. 
 
View Citi&rsquo;s EEO Policy Statement and the Know Your Rights poster.</div>
</div><div>Salary
142,320.00 - 213,480.00 Annual
</div><div></div><div><div>Type<div>
Full-time</div></div></div></div>

Machine Learning Engineer Vice President

SynergisticIT

<div>
 
 
 "Applied Everywhere? Still No Offers? Let&rsquo;s Provide the solution.&rdquo;
 
 
 
 
 
 
 If you&rsquo;ve sent out hundreds&mdash;maybe thousands&mdash;of applications and your inbox is still silent, it doesn&rsquo;t mean you&rsquo;re not capable. It usually means your profile isn&rsquo;t lining up with how companies filter, shortlist, and interview candidates right now. In today&rsquo;s market, employers expect more than a degree or a few tutorial projects. They want candidates who look
 
 job-ready on paper
 
 , sound
 
 confident in interviews
 
 , and demonstrate
 
 hands-on ability
 
 in the tools teams actually use. That&rsquo;s exactly what SynergisticIT solves&mdash;because the real challenge isn&rsquo;t learning in isolation. The real challenge is translating learning into
 
 interviews and offers
 
 .
 
 
 
 
 
 Since
 
 2010
 
 , SynergisticIT has helped thousands of candidates secure full-time roles with leading companies and recognizable brands&mdash;think
 
 Google, Apple, PayPal, Visa, Western Union, Wells Fargo, Intel, Walmart Labs, Citi, JPMC, Bank of America, Wayfair
 
 , and many more&mdash;often in the
 
 $95k to $154k
 
 offer range depending on role, location, and skillset. The purpose of SynergisticIT is simple:
 
 close the gap between what you know and what employers expect you to prove
 
 .
 
 
 Here&rsquo;s the truth employers hire based on whether you can handle real work&mdash;clean coding, debugging, teamwork workflows, version control, APIs, cloud basics, deployment pipelines, and the ability to explain what you did. That&rsquo;s why SynergisticIT emphasizes structured skill-building, project depth, resume positioning, interview readiness, and support through the job-search process.
 
 
 
 
 
 
 What roles are in demand right now?
 
 
 
 A lot of jobseekers assume they must become &ldquo;AI experts&rdquo; overnight. Not true. Many companies are actively hiring professionals in core roles that run modern software teams. In JOPP, the demand typically includes roles such as
 
 entry-level software programmer
 
 ,
 
 Java full stack developer
 
 ,
 
 Python/Java developer
 
 ,
 
 data analyst
 
 ,
 
 data engineer
 
 ,
 
 data scientist
 
 , and
 
 machine learning/AI engineer
 
 . In other words, SynergisticIT focuses on building candidates across
 
 Java / Full Stack / DevOps
 
 and
 
 Data Analytics / Data Engineering / Data Science / ML/AI
 
 based on what employers repeatedly request.
 
 
 
 
 
 
 Who benefits most from this model?
 
 
 
 If you&rsquo;re applying and not seeing results, you&rsquo;re likely in one of these situations:
 
 <ul>
 <li>
 You have skills, but your resume doesn&rsquo;t show impact and your projects look generic
 </li>
 <li>
 You know tools, but you can&rsquo;t explain them confidently in interviews
 </li>
 <li>
 You&rsquo;ve learned from courses, but you lack real-world structure and job alignment
 </li>
 <li>
 You&rsquo;ve built a portfolio, but it doesn&rsquo;t match what hiring managers evaluate
 </li>
 </ul>
 
 
 
 
 
 Please read our blogs Why do Tech Companies not Hire recent Computer Science Graduates | SynergisticIT
 
 
 <ul>
 <li>
 
 What Recruiters Look for in Junior Developers | SynergisticIT
 
 </li>
 <li>
 
 Software engineering or Data Science as a career?
 
 </li>
 <li>
 
 How OPT Students Can Land Tech Jobs &ndash; SynergisticIT
 
 </li>
 </ul>
 
 
 
 
 SynergisticIT works especially well for candidates such as: recent grads in
 
 CS/Engineering/Math/Stats
 
 , jobseekers who were
 
 laid off
 
 and need an updated stack, career switchers who want a guided plan, candidates with
 
 career gaps
 
 , people with &ldquo;learning but not hired&rdquo; bootcamp history, experienced professionals not landing interviews, and international candidates on
 
 F1/OPT
 
 needing a clear employment pathway. SynergisticIT also supports candidates with guidance around
 
 STEM extension
 
 and provides process support for
 
 H-1B and Green Card filing
 
 once employed (as applicable through employers and standard processes).
 
 
 
 
 
 If you want to explore, here are the key links:
 
 <ul>
 <li>
 
 Event videos (OCW, JavaOne, Gartner):
 
 </li>
 <li>
 
 USA Today feature
 
 </li>
 <li>
 
 Contact Us:
 
 https://www.synergisticit.com/contact-us/
 </li>
 </ul>
 
 You don&rsquo;t need more random applications. You need a job-ready plan.
 
 Start smarter&mdash;start with the right support.
 
 
 
 
 
 
 
 
 Please note: Resume databases are shared with clients and interested clients will reach out directly if they find a qualified candidate for their req.
 
 
 
 
 
 
 
 Resume submissions may be shared with our JOPP team database also. Please unsubscribe if contacted or if you don&rsquo;t want to be contacted please don&rsquo;t submit your resume.
 
 
 
 
 
 
</div>

entry level data scientist/ Junior java developer

Fidelity Investments

<div><h3 class="jobSectionHeader">Job Description:</h3>
Principal Data Science Engineer - Financial Crimes
The Role
Financial Crimes Models &amp; Analytics is seeking a Principal Data Science Engineer to lead the design, development, and optimization of our transaction monitoring surveillance models.
You will partner with our Data Scientists, Business Intelligence analysts, Investigators, and Compliance professionals to translate regulatory requirements into scalable, rules based &amp; machine learning detection models. This role requires a unique blend of banking, brokerage, anti-money laundering (AML) &amp; fraud knowledge, as well as data analysis, data engineering, and AI/ML expertise.
If you&rsquo;re passionate about feature engineering, analytics, and machine learning to help fight financial crime, this is an excellent opportunity for you!
The responsibilities of this role:<ul><li>
Collaborate with team members and compliance partners to understand AML typologies and red flags we must detect
</li><li>Assist in building detection models and features using SQL, Python, DBT (Data Build Tool), and Snowflake
</li><li>Develop detection models using both rules-based and machine learning algorithms on customer, account, and transaction data
</li><li>Apply machine learning and AI techniques to enhance suspicious activity detection by analyzing and identifying appropriate target data.
</li><li>Monitor and optimize model performance using proper ML Operations tools
</li><li>Help drive AI use cases for investigative workflows including integration in alert management systems, narrative generation, and straight through SAR filing
</li><li>Champion best practices for CI/CD, robust automated testing, model performance, and production monitoring
</li><li>Provide technical leadership, mentoring and training to other team members through code reviews, collaboration, and educational presentations
</li><li>Explore new technologies (e.g., anomaly detection, graph analytics, predictive modeling) and determine their applicability to the team&rsquo;s use cases; orchestrate the adoption of such technologies and trends where appropriate
</li></ul>The Expertise and Skills You Bring
Required Qualifications
<ul><li>Bachelor&rsquo;s degree in Computer Science or equivalent technical discipline.
</li><li>6+ years of experience in software or data engineering, including leading and delivering complex projects.
</li><li>Strong proficiency in Python or at least one object-oriented programming language (e.g., Java) with a focus on writing clean, modular, and testable code.
</li><li>Strong experience querying relational databases (e.g., Oracle, Snowflake) and working with non-relational databases (e.g., MongoDB).
</li><li>Hands-on experience with machine learning algorithms, including decision trees, neural networks, regression models, clustering, and anomaly detection.
</li></ul>Preferred Skills
<ul><li>Domain expertise: Prior experience working with customer and transactional data in the fraud or AML space.
</li><li>Digital assets knowledge: Understanding blockchain technologies; prior experience in cryptocurrency monitoring is a plus.
</li><li>Experience with dbt (data build tool) for data transformation and pipeline development.
</li><li>Prior experience developing solutions using large language models (LLMs), including Retrieval-Augmented Generation (RAG) for information retrieval and workflow automation.
</li><li>Certifications such as CAMS (Certified Anti-money Laundering Specialist) or CFE (Certified Fraud Examiner) are desirable
</li></ul>The Team
Financial Crimes Models &amp; Analytics is made up of Data Scientists, Data Engineers, Business Intelligence, and Data Visualization analysts. Our team has broad responsibility for Fidelity Investments transaction monitoring across multiple business units, including Brokerage and Digital Assets. We leverage data to detect potential suspicious activity, customer behavior changes, and more.
Coverage areas include insider trading, high risk money movement, customer behavior &amp; potentially suspicious transactional patterns, elder financial exploitation, low-priced securities, emerging risks, cryptocurrency transactions and many more.
The base salary range for this position is $107,000-216,000 USD per year.
Placement in the range will vary based on job responsibilities and scope, geographic location, candidate&rsquo;s relevant experience, and other factors.
Base salary is only part of the total compensation package. Depending on the position and eligibility requirements, the offer package may also include bonus or other variable compensation.
We offer a wide range of benefits to meet your evolving needs and help you live your best life at work and at home. These benefits include comprehensive health care coverage and emotional well-being support, market-leading retirement, generous paid time off and parental leave, charitable giving employee match program, and educational assistance including student loan repayment, tuition reimbursement, and learning resources to develop your career. Note, the application window closes when the position is filled or unposted.
Please be advised that Fidelity&rsquo;s business is governed by the provisions of the Securities Exchange Act of 1934, the Investment Advisers Act of 1940, the Investment Company Act of 1940, ERISA, numerous state laws governing securities, investment and retirement-related financial activities and the rules and regulations of numerous self-regulatory organizations, including FINRA, among others. Those laws and regulations may restrict Fidelity from hiring and/or associating with individuals with certain Criminal Histories.
Most roles at Fidelity are Hybrid, requiring associates to work onsite every other week (all business days, M-F) in a Fidelity office. This does not apply to Remote or fully Onsite roles. Please consult with your recruiter for the specific expectations for this position.<h3 class="jobSectionHeader">
Certifications:</h3><h3 class="jobSectionHeader">
Category:</h3>
Data Analytics and Insights</div>

Principal Data Science Engineer - Financial Crimes

Chubb Insurance

<div>As an AI Engineer Intern, you'll join a global team of engineers and product professionals working on AI-enabled digital solutions transforming P&amp;C insurance. This internship provides hands-on exposure to three core disciplines: applied AI/ML, production AI/LLM systems engineering, and agentic AI systems. You'll contribute to real projects across the AI product lifecycle, from model experimentation to production support, while learning from experienced engineers in a fast-paced enterprise environment. This position offers a unique opportunity to gain hands-on experience building production AI systems at enterprise scale while contributing to Chubb's AI-driven transformation.
We expect our AI engineers to be AI-native in how they work. You should be comfortable using AI-powered coding tools (e.g., GitHub Copilot, Cursor, Claude Code) and agentic development environments to accelerate your workflow, debug problems, and explore solutions.
Key Responsibilities
Applied AI/ML
<ul><li>Assist AI engineers in building and testing ML/AI solutions for business challenges in cloud environments
</li><li>Support experimentation with LLM techniques including prompt engineering, fine-tuning workflows, and evaluation methods
</li><li>Help curate and prepare datasets for model training and evaluation
</li><li>Write and maintain Python scripts for data processing, model inference, and pipeline automation
</li></ul>Production AI Systems
<ul><li>Contribute to building and testing AI service components including APIs, inference pipelines, and integration layers
</li><li>Assist with prompt management, versioning, and testing workflows
</li><li>Support documentation and testing of AI system integrations
</li><li>Learn production engineering practices including containerization (Docker), version control, and CI/CD workflows
</li></ul>Agentic AI Systems
<ul><li>Explore agentic AI frameworks (e.g., LangChain, CrewAI, AutoGen) through guided prototyping projects
</li><li>Assist in testing agent behaviors, tool integrations, and multi-step workflows
</li><li>Support evaluation and observability efforts including prompt tracing and performance logging
</li><li>Document findings and contribute to internal knowledge sharing.
</li></ul>General Engineering Practices
<ul><li>Write clean, well-documented code following team standards and guidelines
</li><li>Participate in code reviews (as reviewer and reviewee) to develop engineering judgment
</li><li>Communicate progress, blockers, and learnings clearly to mentor and team
</li><li>Complete a capstone project demonstrating skills developed during the internship</li></ul></div>
 <div><ul><li>Currently pursuing a Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, or related technical field
</li><li>Proficiency in Python programming (coursework, personal projects, or prior internship experience)
</li><li>Foundational understanding of machine learning concepts (supervised/unsupervised learning, neural networks, model evaluation)
</li><li>Familiarity with version control systems (Git)
</li><li>Comfortable using AI-powered coding assistants (e.g., GitHub Copilot, Cursor, Claude) as part of your development workflow
</li><li>Strong problem-solving skills and attention to detail
</li><li>Intellectual curiosity and eagerness to learn in a fast-paced environment
</li></ul>Preferred
Exposure to ML frameworks and libraries (PyTorch, TensorFlow, Hugging Face Transformers, scikit-learn) 
<ul><li>
</li></ul>The pay range for the role is $20/hr. - $24/hr. The specific offer will depend on an applicant&rsquo;s skills and other factors. This role may also be eligible to participate in a discretionary annual incentive program. Chubb offers a comprehensive benefits package, more details on which can be found on our careers website . The disclosed pay range estimate may be adjusted for the applicable geographic differential for the location in which the position is filled.</div>
 <div><div>Chubb is a world leader in insurance. With operations in 54 countries, Chubb provides commercial and personal property and casualty insurance, personal accident and supplemental health insurance, reinsurance, and life insurance to a diverse group of clients. The company is distinguished by its extensive product and service offerings, broad distribution capabilities, exceptional financial strength, underwriting excellence, superior claims handling expertise and local operations globally. 
</div><div></div> 
<div>At Chubb, we are committed to equal employment opportunity and compliance with all laws and regulations pertaining to it. Our policy is to provide employment, training, compensation, promotion, and other conditions or opportunities of employment, without regard to race, color, religious creed, sex, gender, gender identity, gender expression, sexual orientation, marital status, national origin, ancestry, mental and physical disability, medical condition, genetic information, military and veteran status, age, and pregnancy or any other characteristic protected by law. Performance and qualifications are the only basis upon which we hire, assign, promote, compensate, develop and retain employees. Chubb prohibits all unlawful discrimination, harassment and retaliation against any individual who reports discrimination or harassment.</div></div>

AI Engineer Intern

<div>JOB DESCRIPTION 
As a AI/ML Engineer at JPMorgan Chase within the Corporate Oversight and Governance Technology AI/ML 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.
Job responsibilities
<ul><li>Work closely with product managers, data scientists, ML engineers, and other stakeholders to understand requirements and prioritize use cases.
</li><li>Design, develop, and deploy state-of-the-art AI/ML/LLM/GenAI solutions to meet business objectives.
</li><li>Develop and maintain automated pipelines for model deployment, ensuring scalability, reliability, and efficiency.
</li><li>Implement optimization strategies to fine-tune generative models for specific GenAI use cases, ensuring high-quality outputs in summarization and text generation.
</li><li>Conduct thorough evaluations of generative models (e.g., GPT-5.2), iterate on model architectures, and implement improvements to enhance overall performance in LLM applications.
</li><li>Implement monitoring mechanisms to track model performance in real-time and ensure model reliability.
</li><li>Communicate AI/ML/LLM/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/ML/LLM/GenAI research, implement cutting-edge techniques, and leverage external APIs for enhanced functionality.</li></ul> 
Required qualifications, capabilities, and skills
<ul><li>Bachelor's or Master's degree in Computer Science, Engineering, or a related field
</li><li>6+ years of demonstrated experience in applied AI/ML engineering, with a track record of developing and deploying business critical machine learning models in production.
</li><li>Proficiency in programming languages like Python for model development, experimentation, and integration with OpenAI API.
</li><li>Experience with machine learning frameworks, libraries, and APIs, such as TensorFlow, PyTorch, Scikit-learn, and OpenAI API.
</li><li>Experience with cloud computing platforms (e.g., AWS, Azure, or Google Cloud Platform), containerization technologies (e.g., Docker and Kubernetes), and microservices design, implementation, and performance optimization.
</li><li>Solid understanding of fundamentals of statistics, 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/ML/LLM/GenAI challenges, implement optimizations and fine-tune models for optimal performance in NLP applications.
</li><li>Strong collaboration skills to work effectively with cross-functional teams, communicate complex concepts, and contribute to interdisciplinary projects.
</li><li>A portfolio showcasing successful applications of generative models in LLM projects, including examples of utilizing OpenAI APIs and model fine-tuning.</li></ul> 
Preferred qualifications, capabilities, and skills
<ul><li>Familiarity with the financial services industries.
</li><li>Expertise in designing and implementing pipelines using Retrieval-Augmented Generation (RAG) and Agentic AI framework</li><li>
Hands-on knowledge of Chain-of-Thoughts, Tree-of-Thoughts, Graph-of-Thoughts prompting strategies.
</li></ul>ABOUT US 
<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><div>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.
<div>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.
JPMorgan Chase &amp; Co. is an Equal Opportunity Employer, including Disability/Veterans 
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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&rsquo;re setting our businesses, clients, customers and employees up for success.</div>

AIML Sr. Associate - DCL

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