java senior lead software engineer

senior generative ai developer-5 Jobs in Jersey City

senior generative ai developer-5

sr. manager of software engineering Jobs in Jersey City

sr. manager of software engineering

senior genai engineer

Deloitte

<div>As a Senior GenAI Engineer , you will actively engage in your engineering craft, taking a hands-on approach to multiple high-visibility projects. Your expertise will be pivotal in delivering solutions that delight customers and users, while also driving tangible value for Deloitte's business investments. You will leverage your extensive GenAI &amp; engineering craftmanship across multiple programming languages and modern frameworks, consistently demonstrating your strong track record in delivering high-quality, outcome-focused solutions. The ideal candidate will be a dependable team player, collaborating with cross-functional teams to design, develop, and deploy advanced software solutions.<br>
<br>
<b>Recruiting for this role ends on March 17, 2026.</b><br>
<br>
<b>Key Responsibilities</b><b>:</b><br>
<br>
<b>Outcome-Driven Accountability: </b>Embrace and drive a culture of accountability for customer and business outcomes. Develop engineering solutions that solve complex problems with valuable outcomes, ensuring high-quality, lean designs and implementations.<br>
<br>
<b>Technical Leadership and Advocacy: </b>Serve as the technical advocate for products, ensuring code integrity, feasibility, and alignment with business and customer goals. Lead requirement analysis, component design, development, unit testing, integrations, and support.<br>
<br>
<b>Engineering Craftsmanship: </b>Maintain accountability for the integrity of code design, implementation, quality, data, and ongoing maintenance and operations. Stay hands-on, self-driven, and continuously learn new approaches, languages, and frameworks with significant focus on infusing AI/ML/GenAI where possible/appropriate. Create technical specifications, and write high-quality, supportable, scalable code ensuring all quality KPIs are met or exceeded. Demonstrate collaborative skills to work effectively with diverse teams.<br>
<br>
<b>Customer-Centric Engineering: </b>Develop lean engineering solutions through rapid, inexpensive experimentation to solve customer needs. Engage with customers and product teams before, during, and after delivery to ensure the right solution is delivered at the right time.<br>
<br>
<b>Incremental and Iterative Delivery: </b>Adopt a mindset that favors action and evidence over extensive planning. Utilize a learning-forward approach to navigate complexity and uncertainty, delivering lean, supportable, and maintainable solutions.<br>
<br>
<b>Cross-Functional Collaboration and Integration: </b>Work collaboratively with empowered, cross-functional teams including product management, experience, and delivery. Integrate diverse perspectives to make well-informed decisions that balance feasibility, viability, usability, and value. Foster a collaborative environment that enhances team synergy and innovation.<br>
<br>
<b>Advanced Technical Proficiency: </b>Possess deep expertise in modern software engineering practices and principles, including AI/ML/GenAI, Agile methodologies and DevSecOps to deliver daily product deployments using full automation from code check-in to production with all quality checks through SDLC lifecycle. Strive to be a role model, leveraging these techniques to optimize solutioning and product delivery. Demonstrate understanding of the full lifecycle product development, focusing on continuous improvement and learning.<br>
<br>
<b>Domain Expertise: </b>Quickly acquire domain-specific knowledge relevant to the business or product. Translate business/user needs, architectures, and UX/UI designs into technical specifications and code. Be a valuable, flexible, and dedicated team member, supportive of teammates, and focused on quality and tech debt payoff.<br>
<br>
<b>Effective Communication and Influence: </b>Exhibit exceptional communication skills, capable of articulating complex technical concepts clearly and compellingly. Inspire and influence teammates and product teams through well-structured arguments and trade-offs supported by evidence. Create coherent narratives that align technical solutions with business objectives.<br>
<br>
<b>Engagement and Collaborative Co-Creation: </b>Engage and collaborate with product engineering teams at all organizational levels, including customers as needed. Build and maintain constructive relationships, fostering a culture of co-creation and shared momentum towards achieving product goals. Align diverse perspectives and drive consensus to create feasible solutions.<br>
<br>
<b>The team</b><b>:</b> US Deloitte Technology Product Engineering has modernized software and product delivery, creating a scalable, cost-effective model that focuses on value/outcomes that leverages a progressive and responsive talent structure. As Deloitte's primary internal development team, Product Engineering delivers innovative digital solutions to businesses, service lines, and internal operations with proven bottom-line results and outcomes. It helps power Deloitte's success. It is the engine that drives Deloitte, serving many of the world's largest, most respected companies. We develop and deploy cutting-edge internal and go-to-market solutions that help Deloitte operate effectively and lead in the market. Our reputation is built on a tradition of delivering with excellence.<br>
<br>
<b>Key Qualifications</b><b>:</b><br>
<ul><li>
A bachelor's degree in computer science, software engineering, or a related discipline. An advanced degree (e.g., MS) is preferred but not required. Experience is the most relevant factor.</li><li>
Strong software engineering foundation with deep understanding of OOPs, data-structure, algorithms, code instrumentations, beautiful coding practices etc.</li><li>
3+ years of experience with in AI/ML, and experience with GenAI as well as technologies like OpenAI, Claude, Gemini, LangChain, Agents, Vector databases, and approaches like Prompt Engineering, fine-tuning, etc.</li><li>
Proven experience in: Python, R, TensorFlow, PyTorch, Keras, Julia, ML libraries, NLP, etc.</li><li>
Proven experience with big data technologies, Angular, React, NodeJS, Python, C#, .NET Core, Java, Golang, SQL/NoSQL.</li><li>
Proven experience with cloud-native engineering, using FaaS/PaaS/micro-services on cloud hyper-scalers like Azure, AWS, and GCP.</li><li>
Strong understanding of methodologies &amp; tools like, XP, Lean, SAFe, DevSecOps, SRE, ADO, GitHub, SonarQube, etc.</li></ul><br>
<b>
Other:</b><br>
<ul><li>
Excellent interpersonal and organizational skills, with the ability to handle diverse situations, complex projects, and changing priorities, behaving with passion, empathy, and care.</li><li>
Ability to travel 10%, on average, based on the work you do and products you build.</li><li>
Limited immigration sponsorship may be available.</li></ul><br>
The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $102,500 to $210,600.<br>
<br>
You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.<br>
<br>
#EA_ExpHire<br>
<br>
#EA_ITS_ExpHire<br>
#PXE_JOBS</div>

Senior GenAI Engineer

JPMorganChase

<div><b>JOB DESCRIPTION</b><p><br>
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.</p><p>
</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>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><p><br>
</p><p><b>Required qualifications, capabilities, and skills</b>
</p><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><p><br>
</p><p><b>Preferred qualifications, capabilities, and skills</b>
</p><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><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>

AIML Sr. Associate - DCL

<div><b>JOB DESCRIPTION</b><div><div><div><br>
</div><p>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.</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>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><p><br>
</p><p><b>Required qualifications, capabilities, and skills</b>
</p><ul><li>Bachelor's or Master's degree in Computer Science, Engineering, or a related field
</li><li>3+ 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><p><br>
</p><p><b>Preferred qualifications, capabilities, and skills</b>
</p><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></div></div><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>

AIML Associate - DCL

Photon

<div><div><div><div><p>Senior Engineer in Production Management<br>
</p></div><p></p><div><p>The Senior Engineer in Production Management, will be responsible for the development and overall implementation of software in a complex, critical and large cross-departmental and multi-disciplinary area.
</p></div><div><p>The role is part of a multi-year transformation journey that will require a successful candidate to establish best practices, motivate and promote a cultural shift that will ensure a successful adoption of Engineering Principles and Practices within Production Management.
</p></div><div><p>The role requires a comprehensive understanding of multiple areas within a function and how they interact to achieve the objectives of the function. Applies in-depth understanding of the business impact of technical contributions. Accountable for delivery of a full range of end-to-end projects.
</p></div><div><p>Excellent communication skills required to negotiate internally.
 </p></div><div><p>Involved in short- to medium-term planning of actions and resources for own area.<br>
</p></div><p></p><div><p><b>Responsibilities:
</b></p></div><div><ul><li>Demonstrates an in-depth understanding of Software Development Lifecycle and how it integrates within the overall technology landscape to deliver scalable, reliable and resilient applications.
</li></ul></div><div><ul><li>Ability to operate in a global environment with on-/near-/off-shore matrix reporting structures.
</li></ul></div><div><ul><li>Operates into a highly regulated environment that requires in-depth understanding of the regulatory requirements and the industry implications for our technologies.
</li></ul></div><div><ul><li>Improve the service level the team provides to our end users, which includes maximizing operational efficiencies, strengthening incident management, problem management and knowledge sharing practices.
</li></ul></div><div><ul><li>Drives Continuous Delivery and Automation efforts across the supported applications by means of Root Cause Analysis reviews, Knowledge management, Performance tuning, and user training.
</li></ul></div><div><ul><li>Fosters a culture that promotes transparency and innovation for increased team productivity.
</li></ul></div><div><ul><li>Coaching members of the team and outside the immediate reporting line about the best practices and recognises anti-patterns that are quickly addressed.
</li></ul></div><div><ul><li>Implements the Agile Framework through one of its implementations like SCRUM or Kanban and ensures it integrates with overall organisation processes.
</li></ul></div><div>Avidly communicates progress and project status across the organisation and ensures that stakeholders are managed appropriately throughout the execution period.<br>
<ul><li>
</li></ul></div></div><p></p><div><div><p><b>Qualifications:
</b></p></div><div><ul><li>Relevant experience in a critical software development role with high business impact, ability to understand how software delivers business value
</li></ul></div><div><ul><li>Excellent engineering skills and senior architecture
</li></ul></div><div><ul><li>Excellent working knowledge of key computer science concepts (networking, operating systems, virtualisation, containerisation, etc.)
</li></ul></div><div><ul><li>Polyglot full-stack developer mentality and ability to pick up new languages and skills
</li></ul></div><div><ul><li>Excellent understanding of Software Engineering concepts like Software Development Life Cycle and GitOps
</li></ul></div><div><ul><li>Excellent debugging and analytical skills: ability to isolate root cause across networking/infrastructure, application and database stacks
</li></ul></div><div><ul><li>Operational experience of deploying and running services at scale on top of Docker/Kubernetes stack and a service mesh, like Istio, is highly desirable
</li></ul></div><div><ul><li>Operational experience with orchestration tools for CI/CD and Infrastructure-as-Code tooling (Terraform, Cloud Formation, etc.) is a highly desirable
</li></ul></div><div><ul><li>Experience of delivering software using Agile delivery methodologies is a must (SCRUM/Kanban)
</li></ul></div><div><ul><li>Operational experience of using middleware technologies (MQ, Apache Kafka, etc.) to run services at scale is desirable
</li></ul></div><div><ul><li>Strong experience with end-to-end observability stacks (Datadog, AppDynamics, Dynatrace, etc.) is desirable
</li></ul></div><div><ul><li>Degree in computer science/mathematics/physics or related technical subject is desirable
</li></ul></div><div><ul><li>Experience of senior stakeholder management
</li></ul></div><div>Consistently demonstrates clear and concise written and verbal communication skills<br>
<ul><li>
</li></ul></div><p></p><div><p><b>Role Skills Matrix:<br>
</b></p></div></div><div></div><div><div><div><div><div><div><div><div><p><b>Skill<br>
</b></p></div></div></div><div><div><div><p><b>Rating*<br>
</b></p></div></div></div></div><br>
<div><div><div><div><p>Containerisation<br>
</p></div></div></div><div><div><div><p>4<br>
</p></div></div></div></div><br>
<div><div><div><div><p>Kubernetes<br>
</p></div></div></div><div><div><div><p>4<br>
</p></div></div></div></div><br>
<div><div><div><div><p>GitOps<br>
</p></div></div></div><div><div><div><p>4<br>
</p></div></div></div></div><br>
<div><div><div><div><p>Infrastructure as Code<br>
</p></div></div></div><div><div><div><p>3<br>
</p></div></div></div></div><br>
<div><div><div><div><p>Configuration Management<br>
</p></div></div></div><div><div><div><p>3<br>
</p></div></div></div></div><br>
<div><div><div><div><p>Observability (tools and implementation)<br>
</p></div></div></div><div><div><div><p>3<br>
</p></div></div></div></div><br>
<div><div><div><div><p>Middleware configuration<br>
</p></div></div></div><div><div><div><p>2<br>
</p></div></div></div></div><br>
<div><div><div><div><p>High Availability Systems<br>
</p></div></div></div><div><div><div><p>4<br>
</p></div></div></div></div><br>
<div><div><div><div><p>Hyperscale Systems<br>
</p></div></div></div><div><div><div><p>3<br>
</p></div></div></div></div><br>
<div><div><div><div><p>Programming (Java, Python or equivalent)<br>
</p></div></div></div><div><div><div><p>4<br>
</p></div></div></div></div><br>
</div></div></div></div><p></p><div><ul><li>Ratings are 1-5, with 1 being the lowest and 5 being the highest. To interpret the numbers, use the following scale:
</li></ul></div><div><p>1 = Junior contributor, understands key concepts and can operate with close supervision
</p></div><div><p>2 = Proficient contributor, fully grasps the key concepts, but no production experience
</p></div><div><p>3 = Independent contributor, understands technology well and has delivered production systems
</p></div><div><p>4 = Senior Independent contributor, operates the technology on the cutting edge and can implement use cases with limited community support
</p></div><div><p>5 = Lead industry contributor, operates the technology on the bleeding edge and can commit changes to the technology's roadmap
</p></div><p><b>Compensation, Benefits and Duration
</b></p><p>Minimum Compensation: USD 40,000
<br>
Maximum Compensation: USD 141,000
<br>
Compensation is based on actual experience and qualifications of the candidate. The above is a reasonable and a good faith estimate for the role.
<br>
Medical, vision, and dental benefits, 401k retirement plan, variable pay/incentives, paid time off, and paid holidays are available for full time employees.
<br>
This position is not available for independent contractors
<br>
No applications will be considered if received more than 120 days after the date of this post</p></div></div>

Sr Full Stack Engineer - Jersey City

<div><b>JOB DESCRIPTION</b><p><br>
Join our dynamic team of innovators and technologists as a Senior Applied AI/ML Associate , where your mission will be to revolutionize how the Bank services and advises clients, deepen client engagements, and drive process transformation. You will analyze existing processes and vast amounts of data to design autonomous AI agents. We seek individuals passionate about leveraging advanced data analysis, statistical modeling, and AI/ML techniques to solve complex business challenges through high-quality, cloud-centric software delivery. Our culture thrives on experimentation, continuous improvement, and learning. You will work in a collaborative, trusting, and intellectually stimulating environment&mdash;one that values diversity of thought and fosters creative solutions that serve the best interests of our global clientele.<br>
<br>
J<b>ob Responsibilities</b></p><ul>
<li>Develop and implement GenAI and Agentic AI solutions using Python to enhance automation and decision-making processes.</li>
<li>Collaborate with internal stakeholders to identify business needs and develop NLP/ML solutions that address client needs and drive transformation.</li>
<li>Apply large language models (LLMs), machine learning (ML) techniques, and statistical analysis to enhance informed decision-making and improve workflow efficiency, which can be utilized across investment functions, client services, and operational process.</li>
<li>Collect and curate datasets for model training and evaluation.</li>
<li>Perform experiments using different model architectures and hyperparameters, determine appropriate objective functions and evaluation metrics, and run statistical analysis of results.</li>
<li>Monitor and improve model performance through feedback and active learning.</li>
<li>Collaborate with technology teams to deploy and scale the developed models in production.</li>
<li>Deliver written, visual, and oral presentation of modeling results to business and technical stakeholders.</li>
Stay up-to-date with the latest research in LLM, ML and data science. Identify and leverage emerging techniques to drive ongoing enhancement.<br>
<li>
</li></ul><p><b>Required qualifications, capabilities, and skills</b></p><ul>
<li>Advanced degree (MS or PhD) in a quantitative or technical discipline or significant practical experience in industry.</li>
<li>Minimum of 4 years of experience in applying NLP, LLM and ML techniques in solving high-impact business problems, such as semantic search, information extraction, question answering, summarization, personalization, classification or forecasting.</li>
<li>Advanced python programming skills with experience writing production quality code</li>
<li>Good understanding of the foundational principles and practical implementations of ML algorithms such as clustering, decision trees, gradient descent etc.</li>
<li>Hands-on experience with deep learning toolkits such as PyTorch, Transformers, HuggingFace.</li>
<li>Strong knowledge of language models, prompt engineering, model finetuning, and domain adaptation.</li>
<li>Familiarity with latest development in deep learning frameworks.
</li><li>Ability to communicate complex concepts and results to both technical and business audiences.</li></ul><p>
</p><p><b>Preferred qualifications, capabilities, and skills</b></p><ul>
<li>Prior experience of developing solutions for Financial domain</li>
<li>Exposure to distributed model training, and deployment</li>
<li>Familiarity with techniques for model explainability and self-validation</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 Asset &amp; Wealth Management delivers industry-leading investment management and private banking solutions. Asset Management provides individuals, advisors and institutions with strategies and expertise that span the full spectrum of asset classes through our global network of investment professionals. Wealth Management helps individuals, families and foundations take a more intentional approach to their wealth or finances to better define, focus and realize their goals.</div>

Applied AIML, Sr Associate

NTT DATA

<div><p>At NTT DATA, we know that with the right people on board, anything is possible. The quality, integrity, and commitment of our employees have been key factors in our company's growth and market presence. By hiring the best people and helping them grow both professionally and personally, we ensure a bright future for NTT DATA and for the people who work here.<br>
<br>
For more than 25 years, NTT DATA Services have focused on impacting the core of your business operations with industry-leading outsourcing services and automation. With our industry-specific platforms, we deliver continuous value addition, and innovation that will improve your business outcomes. Outsourcing is not just a method of gaining a one-time cost advantage, but an effective strategy for gaining and maintaining competitive advantages when executed as part of an overall sourcing strategy.<br>
<br>
NTT DATA Services currently seeks a AI Researcher<b> </b>to join our team in <b>Jersey City, New Jersey.</b></p>
<p>The AI Researcher focuses on hands-on experimentation and applied research, advancing CLIENT's AI capabilities through rigorous prototyping, evaluation, and collaboration with engineering teams.</p>
<p>This role bridges research and production.</p>
<p><b>Key Responsibilities</b></p>
<ul><li>Research and prototype ML, GenAI, and agentic techniques</li></ul>
<ul><li>Build reproducible Python-based experimentation pipelines</li></ul>
<ul><li>Design and execute model evaluation frameworks</li></ul>
<ul><li>Analyze results and translate insights into production recommendations</li></ul>
<ul><li>Collaborate with platform and engineering teams to operationalize research</li></ul>
<ul><li>Stay current with academic and industry advancements</li></ul>
<p>Minimum Skills Required: Required Qualifications</p>
<ul><li>Advanced degree or equivalent experience in AI/ML</li></ul>
<ul><li>Strong Python and ML experimentation experience</li></ul>
<ul><li>Familiarity with PyTorch, TensorFlow, or JAX</li></ul>
<ul><li>Experience with experiment tracking and reproducibility</li></ul>
<p>What Differentiates Strong Candidates</p>
<ul><li>Prior applied research in financial services or regulated domains</li></ul>
<ul><li>Publications or demonstrated applied innovation</li></ul><br>
<p><br>
About NTT DATA Services:<br>
<br>
NTT DATA Services is a recognized leader in IT and business services, including cloud, data and applications, headquartered in Texas. As part of NTT DATA, a $30 billion trusted global innovator with a combined global reach of over 80 countries, we help clients transform through business and technology consulting, industry and digital solutions, applications development and management, managed edge-to-cloud infrastructure services, BPO, systems integration and global data centers. We are committed to our clients' long-term success. Visit nttdata.com or LinkedIn to learn more.<br>
<br>
NTT DATA Services is an equal opportunity employer and considers all applicants without regarding to race, color, religion, citizenship, national origin, ancestry, age, sex, sexual orientation, gender identity, genetic information, physical or mental disability, veteran or marital status, or any other characteristic protected by law. We are committed to creating a diverse and inclusive environment for all employees. If you need assistance or an accommodation due to a disability, please inform your recruiter so that we may connect you with the appropriate team.<br>
<br>
This position is eligible for company benefits that will depend on the nature of the role offered. Company benefits may include medical, dental, and vision insurance, flexible spending or health savings account, life, and AD&amp;D insurance, short-and long-term disability coverage, paid time off, employee assistance, participation in a 401k program with company match, and additional voluntary or legally required benefits.</p></div>

AI Researcher

<div><b>JOB DESCRIPTION</b><p><br>
Join a team where your curiosity and technical mastery will impact innovation and deliver measurable results and work to build scalable, end-to-end data products that enable centralized, self-service data sourcing through an array of consumption patterns optimized for Planning and Analysis functions.</p><p>
As a Data Domain Modeling Engineer, within the Transformation and Innovation team, you will design and implement end-to-end data models starting from raw data to the semantic layer that makes our data more accessible and understandable for different persona ranging from finance users, data analysts, automation, quantitative research and machine learning teams.
</p><p><b>Job Responsibilities:</b></p><ul><li>
Design, develop, and refine data models that address different P&amp;A community, ensuring effective delivery and usability of data product.
</li><li>Work with business and data partners to understand data requirements, investigate data sources and recommend improvements to data processes or structures.
</li><li>Produce data analysis to address questions from stakeholders, supporting the understanding and adoption of data solution</li><li>
Support different variety of data sets and use cases relating to Planning &amp; Analysis processes, collaborating with senior team members on solution design</li><li>
Contribute ideas and assist in developing solution for key data challenges and help implements innovative solutions at the bank such as enterprise data catalog, and AI-enabled conversational analytics</li><li>
Collaborate with other high-performing teams within JPM to inspire innovation and champion change throughout the bank
</li></ul><p><b>Required qualifications, capabilities, and skills
</b></p><ul><li>Bachelor&rsquo;s degree in computer science, data science, information systems, business analytics, or related discipline; 3+ years of relevant experience in developing, testing, and refining data models and analytic prototypes using dimensional and relational data models</li><li>
Demonstrate experience using SQL and Python for data analysis, data engineering and transformation; comfortable with writing queries and scripts to uncover business insight and build data solution</li><li>
Hands on in building and prototyping data model to address and support user reporting delivery</li><li>
Curious and inquisitive mind to dig deep into the business and data to understand the context</li><li>
Comfortable working with evolving requirement and proactively seek out information to clarify objective</li><li>
Strong communication skills to present data findings and support data consumers</li></ul><p><b>
Preferred qualifications, capabilities, and skills
</b></p><ul><li>Experience with Databricks</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>

Transformation and Innovation Team - Data Domain Modeling Engineer Associate

Explore 36+ Senior genai engineer in Jersey City this March. Find roles across top companies and apply now to boost your career.