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applied ai ml executive director

JPMorganChase

<div>JOB DESCRIPTION 
Our Consumer &amp; Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We&rsquo;re proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions &ndash; all while ranking first in customer satisfaction. In this role, you&rsquo;ll apply strong technical judgment to choose the right approaches (including modern LLM-based methods where appropriate), evaluate performance with rigorous metrics, and ensure solutions are reliable, secure, and scalable in real-world environments. You&rsquo;ll also contribute to improving data quality and feedback loops, monitoring models in production, and continuously iterating to reduce agent effort, shorten resolution times, and increase consistency and quality across operational workflows.
As an Applied AI/ML Executive Director in our AI for Operations organization, you will help design, build, and scale cutting-edge Natural Language Processing (NLP) solutions that improve experiences for both customers and internal agents supporting the bank&rsquo;s day-to-day operations. You&rsquo;ll work hands-on across the end-to-end model lifecycle&mdash;partnering with product, engineering, operations, and risk stakeholders to translate real operational needs into production-grade language capabilities such as intelligent search, summarization, classification, and next-best-action recommendations.
Job Responsibilities
<ul><li>Apply deep natural language processing (NLP) knowledge &amp; experience and critical thinking skills and perform advanced analytics with the goal of solving complex and multi-faceted business problems.
</li><li>Contribute to the full product development lifecycle, including defining the objective and key product deliverables.
</li><li>Act as an advanced contributor in system development, computer algorithms, NLP and machine learning.
</li><li>Contribute to the continuous learning mindset of the organization by bringing in new knowledge, ideas, and perspectives.
</li></ul>Required qualifications, capabilities, and skills:
<ul><li>PhD degree in Computer Science, Data Science or similar with 10+ years of experience Or Master&rsquo;s degree in Computer Science, Data Science or similar with 15+ years experience with work experience in LLM/NLP, Generative AI, Agentic AI and search.
</li><li>Outstanding written and oral communication skills to present analytical findings and exercise influence among key project stakeholders.
</li><li>Advanced demonstratable programming skills on more than 1 programming language is required such as Spark, Python, Scala, Java.
</li><li>Can learn quickly programming in another programming language and seamlessly. Full understanding of and hands-on programming with data structures, algorithms, operating systems, compilers, databases, and systems.
</li></ul>Preferred qualifications, capabilities, and skills:
<ul><li>Undergraduate and master&rsquo;s degree in computer science with concentration in NLP or Search experience.
</li><li>Optional, great to have - experience in developing large-scale machine learning solutions based on big data to solve real world problems (e.g. Classification, Regression, or Recommender Systems).
</li></ul>ABOUT US 
Chase is a leading financial services firm, helping nearly half of America&rsquo;s households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs.
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.
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.
Equal Opportunity Employer/Disability/Veterans 
 
 
ABOUT THE TEAM 
 
Our Consumer &amp; Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We&rsquo;re proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions &ndash; all while ranking first in customer satisfaction.</div>

Applied AI ML-Executive Director

Catalyst Labs

<div>
 
 About The Job ML Engineer
 
 
 
 
 Our Client
 
 
 
 Is a rapidly growing Tier 1 VC backed startup based in New York with $60 million in funding revolutionizing how outside sales and service teams work. Their AI technology captures and analyzes real-world conversations, providing full visibility into every customer interaction without the need for traditional ride-alongs.
 
 
 By turning field conversations into searchable, actionable data, they empower teams to coach more effectively, close more deals, and boost average ticket sizes. Combining cutting-edge AI with a deep understanding of field sales dynamics, this company is redefining how businesses learn from and optimize their in-person customer experiences.
 
 
 
 About Us
 
 
 
 Catalyst Labs is a leading talent agency with a specialized vertical in Applied AI, Machine Learning, and Data Science. We stand out as an agency that&rsquo;s deeply embedded in our clients&rsquo; recruitment operations.
 
 
 We collaborate directly with Founders, CTOs, and Heads of AI in those themes who are driving the next wave of applied intelligence from model optimization to productized AI workflows. We take pride in facilitating conversations that align with your technical expertise, creative problem-solving mindset, and long-term growth trajectory in the evolving world of intelligent systems.
 
 
 
 Location
 
 : New York, NY
 
 
 
 Work type
 
 : Full Time,
 
 
 
 Compensation
 
 : above market base + bonus + equity
 
 
 
 Roles &amp; Responsibilities
 
 
 
 <ul>
 <li>
 Design, build, and deploy production-grade ML systems with end-to-end ownership of the model lifecyclefrom conception to deployment and maintenance.
 </li>
 <li>
 Architect and deliver AI-powered solutions enabling natural speech interaction and real-time audio understanding.
 </li>
 <li>
 Develop and optimize ML models focused on audio data to extract business-critical insights from previously unstructured voice data.
 </li>
 <li>
 Build agents capable of operating natively on real-world audio inputs.
 </li>
 <li>
 Collaborate with cross-functional teams to shape the foundations of the AI stack, improve tooling, and drive innovation in LLM and audio ML applications.
 </li>
 <li>
 Work directly with customers to identify needs, gather feedback, and deliver impactful real-world solutions.
 </li>
 <li>
 Handle the entire AI lifecycle, including data acquisition, preprocessing, model training, deployment, inference, and monitoring in production environments.
 </li>
 <li>
 Participate in continuous improvement of the ML infrastructure and processes for scalability and performance.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Machine Learning, Artificial Intelligence, or a related field.
 </li>
 <li>
 1-6 years of professional experience in ML engineering.
 </li>
 <li>
 Strong programming skills in Python (TypeScript experience is a plus).
 </li>
 <li>
 Hands-on experience with ML frameworks such as PyTorch or TensorFlow.
 </li>
 <li>
 Familiarity with cloud environments and infrastructure (preferably AWS).
 </li>
 <li>
 Strong understanding of data pipeline design, real-time inference, and model monitoring.
 </li>
 <li>
 Excellent communication skills with the ability to engage directly with customers and stakeholders.
 
 
 </li>
 </ul>
 
 Core Experience
 
 
 
 <ul>
 <li>
 Proven experience building and deploying ML models into production environments.
 </li>
 <li>
 Demonstrated ability to own the full model lifecyclefrom data ingestion and model development to deployment and monitoring.
 </li>
 <li>
 Experience with audio-focused ML projects or similar domains involving unstructured data.
 </li>
 <li>
 Proficiency in building scalable data pipelines for model training and evaluation.
 </li>
 <li>
 Familiarity with FastAPI, OpenAI APIs, Baseten, LiteLLM, LiveKit, PostgreSQL, Redis, and S3 is a plus.
 </li>
 <li>
 Solid grasp of ML systems architecture, feature engineering, evaluation strategies, and deployment best practices.
 </li>
 </ul>
</div>

ML Engineer

<div>JOB DESCRIPTION 
Our Consumer &amp; Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We&rsquo;re proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions &ndash; all while ranking first in customer satisfaction. In this role, you&rsquo;ll apply strong technical judgment to choose the right approaches (including modern LLM-based methods where appropriate), evaluate performance with rigorous metrics, and ensure solutions are reliable, secure, and scalable in real-world environments. You&rsquo;ll also contribute to improving data quality and feedback loops, monitoring models in production, and continuously iterating to reduce agent effort, shorten resolution times, and increase consistency and quality across operational workflows.
As an AI/ML Executive Director within Consumer &amp; Community Banking (CCB) Recommendations &amp; Personalization, you will lead the design and delivery of large-scale recommendation, ranking, and personalization systems that power customer experiences across CCB digital channels. You&rsquo;ll drive strategy and execution across search/retrieval and NLP signals, experimentation, measurement, and production ML&mdash;leveraging GenAI where it meaningfully improves relevance, efficiency, or customer outcomes (but with recommenders and personalization as the core focus).
Job Responsibilities
<ul><li>Own and evolve CCB recommendation &amp; personalization platforms (candidate generation, ranking, re-ranking, retrieval, and real-time decisioning) to improve customer relevance and engagement across journeys and surfaces.</li><li>
Lead end-to-end ML delivery: problem framing, feature strategy, model development, offline/online evaluation, A/B testing, launch, monitoring, and iteration for production recommender systems.</li><li>
Develop and operationalize evaluation frameworks for ranking and personalization (e.g., relevance/utility metrics, calibration, novelty/diversity, long-term value, bias/fairness considerations, and guardrails).</li><li>
Apply NLP and search/retrieval techniques to enrich signals (query/document understanding, embeddings, semantic retrieval, entity/intent extraction) that improve recommendation quality and explainability.</li><li>
Use GenAI pragmatically to augment the recommendation stack (e.g., content understanding, synthetic labeling, summarization, conversational retrieval, or post-processing) with strong controls, evaluation, and risk awareness.</li><li>
Build and lead a high-performing team of applied scientists and ML engineers; set technical direction, raise engineering quality, and provide coaching and career development.</li><li>
Partner cross-functionally with Product, Design, Data, Risk/Controls, and Engineering to align on goals, prioritize roadmaps, and deliver measurable customer and business impact.</li><li>
Be a hands-on technical leader: contribute to architecture and critical code paths; guide system design for low-latency services, feature pipelines, training/inference infrastructure, and reliability.</li><li>
Promote a culture of rigor and learning by introducing modern recommendation methods, experimentation best practices, and strong documentation and knowledge sharing.
</li></ul>Required qualifications, capabilities, and skills:
<ul><li>PhD in Computer Science (or equivalent experience) with strong research and industry background in machine learning, with depth in recommender systems, ranking, personalization, or information retrieval.</li><li>
Proven ability to lead and deliver large-scale production ML systems using big data, including recommenders (collaborative filtering, deep retrieval/ranking, sequence models), classification/regression, and causal/experimental methods.</li><li>
Strong track record of people leadership (building teams, setting technical direction, mentorship, performance management).</li><li>
Excellent written and verbal communication skills, including influencing senior stakeholders and translating business goals into measurable ML outcomes.</li><li>
10+ years of hands-on programming and system-building experience (PhD + industry); strong in Python and at least one of Scala/Java; experience with Spark and distributed data processing.</li><li>
Solid fundamentals in data structures, algorithms, distributed systems, and databases, and experience building scalable, reliable ML services.</li></ul>
Preferred qualifications, capabilities, and skills:
<ul><li>Deep expertise in ranking/retrieval/search (semantic retrieval, ANN/vector search, learning-to-rank), online experimentation, and real-time personalization.</li><li>
Experience designing feature stores, streaming/real-time pipelines, low-latency inference, and ML observability (data/model drift, performance diagnostics).</li><li>
Experience applying NLP/LLMs to improve recommendation systems (embeddings, query understanding, content signals, retrieval augmentation) with disciplined evaluation and governance.</li><li>
Familiarity with responsible AI considerations relevant to personalization (fairness, explainability, privacy, and control frameworks).</li></ul>
ABOUT US 
Chase is a leading financial services firm, helping nearly half of America&rsquo;s households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs.
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.
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.
Equal Opportunity Employer/Disability/Veterans 
 
 
ABOUT THE TEAM 
 
Our Consumer &amp; Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We&rsquo;re proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions &ndash; all while ranking first in customer satisfaction.</div>

Applied AIML -Executive Director

Meltwater

<div>Description 
 
Meltwater, a pioneer of media intelligence and now Outside Insight, gives businesses the information advantage they need to stay ahead. More than 30,000 companies have used Meltwater&rsquo;s media intelligence to stay on top of billions of online conversations and extract relevant insights to strategically manage their brands. Meltwater is dedicated to personal, global service built on the local expertise of 55 offices across six continents. Meltwater is also committed to fostering the data science ecosystem through MEST, a pan-African entrepreneurial program and incubator, and Shack15, a global data science community.
 
 
Our AI team is young, ambitious and focused on innovation.
 
 
With Meltwater, we are more than 2000 people across the globe, so there is a lot going on. We believe in diversity and inclusion, and building teams with a wide variety of backgrounds and perspectives. This approach not only raises the quality of our products for our customers, but makes collaboration along the way much more fun. 
 
Read our underthehood blog to see which problems our engineers are solving. 
 
Meltwater&rsquo;s Consumer Intelligence AI Team is looking for a Machine Learning Engineer to help improve the multimodal semantic layer of MIRA, our AI assistant, while also developing innovative new features that power the next generation of applied generative AI in the Consumer Intelligence industry. This includes building agentic capabilities that allow MIRA to reason across data sources, orchestrate multi-agent/multi-step workflows, and generate complex, use-case driven reports for customers. 
 
We are looking for someone with a creative, proactive, collaborative, and innovation focused mindset. You will work alongside a team of passionate machine learning engineers driven by enthusiasm for adopting new technologies and excitement about making the difference for customers using applied AI. 
 
As a Machine Learning Engineer at Meltwater, you will own machine learning powered features from idea to production, working on systems that operate at massive scale. You should be comfortable with experimentation, collaboration, and real-world impact. 
 
What we're looking for: 
 
This role is ideal for candidates with a strong foundation in machine learning, data science, or applied research who enjoy experimentation and model-driven problem solving and who want to translate their work into real-world, production systems at scale. You are excited to grow your software engineering and production skills over time, while bringing strong foundations in experimentation, modeling, evaluation, and applied machine learning. 
 
Our team is organized over 3 objectives : innovation, research and production. 
 
Innovation: We leverage our AI expertise to constantly imagine new business oriented features to enhance our products. 
 
Research: To implement our algorithms, we need to stay up-to-date to the latest breakthroughs over the Machine Learning world as well as the latest frameworks. 
 
Production: We make a point of designing and developing our algorithms with production-grade best practices. Scalability is our goal. The models and systems that we develop are running over billions of documents (text or image) per day. 
 
Responsibilities: 
<ul><li>
Drive the development of industrial ML projects from ideation to deployment, contributing across early prototyping, research, evaluation, and progressively to production, scalability, and monitoring with support from the team.</li><li>
Collaborate closely with product teams in their domains, building domain expertise, and leveraging ML to solve critical business problems</li><li>
Keep up-to-date with the latest advancements in machine learning to stay current on emerging techniques to solve novel problems</li><li>
Design, run, and iterate on machine learning experiments to improve model quality and product impact</li><li>
Develop features, online and offline evaluation metrics, and validation strategies for large-scale ML systems</li><li>
Analyze model errors and failure modes to understand limitations, biases, and opportunities for improvement.</li></ul> 
 What You'll Do: 
<ul><li>
Drive the development of new industrial level projects from ideation to deployment. This includes deep expertise in areas such as early ideation &amp; prototyping, research, infrastructure, scalability, monitoring, and evaluation of AI systems.</li><li>
Collaborate closely with product teams in their domains, building domain expertise, and leveraging ML to solve critical business problems</li><li>
Keep up-to-date with the latest advancements in machine learning to stay current on emerging techniques to solve novel problems</li><li>
You&rsquo;ll write efficient, well-tested and design code, build clean systems to empower MIRA with new advanced generative AI capabilities</li><li>
Demonstrable experience with the full lifecycle of machine learning models - from development to deployment and monitoring</li><li>
Experience building industry-scale user-facing ML/AI/Agentic applications</li><li>
Experience with MLOps and DevOps principles and technologies (e.g. CI/CD, Terraform, Containerization, Kubernetes)</li><li>
Experience with Information Retrieval systems in a production environment (Elasticsearch, Quickwit, Vespa, &hellip;) is a plus</li></ul> 

What You'll Bring: 
<ul><li>
2 - 5 years experience applying machine learning techniques through academic, professional, or personal projects, ideally with exposure to experimentation, modeling, or applied research.</li><li>
Solid foundation in machine learning concepts such as feature engineering, model selection, training, validation, and error analysis</li><li>
Ability to write clear, well-structured code, with motivation to grow software engineering skills and contribute to production ML systems</li><li>
Experience reasoning about metrics, tradeoffs, experiments, and uncertainty in applied ML problems</li><li>
You are comfortable learning new tools, concepts, or techniques as needed, and enjoy expanding beyond your initial area of strength.</li><li>
Advanced knowledge in a least one programming language (Python or other e.g. Rust, Scala, Java)</li><li>
Passion for AI (in particular Generative AI), with a constant drive to stay updated and ahead of the curve</li><li>
You are a team-player, self-learner and autonomous</li><li>
MS, PhD, or equivalent practical experience in machine learning, data science, or a related technical field</li></ul> 

What We Offer: 
<ul><li>
You will work with a team of passionate people who are always willing to help and learn from others</li><li>
You will have the opportunity to apply the most recent literature to concrete AI projects with a real impact on business</li><li>
As a growing company, we combine a startup mindset with the resources necessary to commit to exciting new initiatives. At Meltwater, everyone has an opportunity to make a difference</li><li>
Enjoy flexible paid time off that allows you to have an enhanced work-life balance.</li><li>
Excellent medical, dental, and vision options</li><li>
401(k) matching, life insurance, commuter benefits, and parental leave plans</li><li>
Complimentary CalmApp subscription for you and your loved ones, because mental wellness matters.</li><li>
Energetic work environment with a hybrid work style, providing the balance you need.</li><li>
Thrive within our inclusive community and seize ongoing professional development opportunities to elevate your career.</li><li>
Total compensation range for this position: $150-200 per year (Depending on insurance)</li></ul> 

Where You'll Work: 
New York 
 
When you'll join: 
May/June 2026 
 
Our Story 
 
At Meltwater, we believe that when you have the right people in the right environment, great things happen. 
 
Our best-in-class technology empowers our 27,000 customers around the world to make better business decisions through data. But we can&rsquo;t do that without our global team of developers, innovators, problem-solvers, and high-performers who embrace challenges and find new solutions for our customers. 
 
Our award-winning global culture drives everything we do and creates an environment where our employees can make an impact, learn every day, feel a sense of belonging, and celebrate each other&rsquo;s successes along the way. 
 
We are innovators at the core who see the potential in people, ideas and technologies. Together, we challenge ourselves to go big, be bold, and build best-in-class solutions for our customers. 
 
We&rsquo;re proud of our diverse team of 2,200+ employees in 50 locations across 25 countries around the world. No matter where you are, you&rsquo;ll work with people who care about your success and get the support you need to unlock new heights in your career. 
 
We are Meltwater. Inspired by innovation, powered by people. 
 
Our Team 
 
Our AI team is young, ambitious and focused on innovation. With Meltwater, we are more than 2000 people across the globe, so there is a lot going on. We believe in diversity and inclusion, and building teams with a wide variety of backgrounds and perspectives. This approach not only raises the quality of our products for our customers, but makes collaboration along the way much more fun. 
Read our under-the-hood blog to see which problems our engineers are solving. 
 
Equal Employment Opportunity Statement 
Meltwater is an Equal Opportunity Employer and Prohibits Discrimination and Harassment of Any Kind: At Meltwater, we are dedicated to fostering an inclusive and diverse workplace where every employee feels valued, respected, and empowered. We are committed to the principle of equal employment opportunity and strive to provide a work environment that is free from discrimination and harassment. 
 
All employment decisions at Meltwater are made based on business needs, job requirements, and individual qualifications, without regard to race, color, religion or belief, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, marital status, veteran status, or any other status protected by the applicable laws and regulations. 
 
Meltwater does not tolerate discrimination or harassment of any kind, and we actively promote a culture of respect, fairness, and inclusivity. We encourage applicants of all backgrounds, experiences, and abilities to apply and join us in our mission to drive innovation and make a positive impact in the world.
 
 
We may use AI to assist in aspects of our hiring process, such as reviewing candidate information and supporting evaluation activities. These tools are used only to assist our team through increased efficiencies. Every output continues to be reviewed by humans, and all hiring decisions are made by humans. We remain committed to evaluating candidates fairly, consistently, and in compliance with all applicable laws</div>

Machine Learning Engineer

<div>JOB DESCRIPTION 
This is your chance to change the path of your career and guide multiple teams to success at one of the world's leading financial institutions.
As a AI/ML Engineering Associate at JPMorgan Chase within the Business Banking you will be a key member responsible for designing and delivering trusted, market-leading AI technology products. Your role will involve implementing critical technology solutions across various technical domains to support the firm&rsquo;s strategic objectives, ensuring security, stability, and scalability.
Job Responsibilities:<ul><li>
Define the AI‑driven validation roadmap across Business Banking.</li><li>
Architect and embed end‑to‑end AI checks into campaign authoring and execution workflows for all channels.</li><li>
Build AI/ML models to enhance final reads (pre‑launch approvals), incorporating external signals and trend analysis to generate actionable recommendations.</li><li>
Partner with Marketing, , Legal, Compliance, and Controls to operationalize AI capabilities and standardize measurement across CCB sub‑LOBs.</li><li>
Automate quality metrics and evolve the learning agenda using internal benchmarks and external best practices.</li><li>
Provide executive‑ready insights, recommendations, and status updates on the portfolio roadmap and key learnings.</li><li>
Integrate with upstream and downstream systems to ensure seamless tooling and support Transformation objectives.</li><li>
Champion quality‑as‑a‑service: prevent errors and drive continuous improvement in validation processes.</li><li>
Demonstrate customer obsession by understanding and improving the end‑to‑end customer experience.</li></ul>
Required qualifications, capabilities and skills:<ul><li>
Formal training or certification in Software Engineering concepts and 1+ years applied experience</li><li>
Experience of Gen AI builds, Agents, and MCP.</li><li>
Experience in one of the programming languages like Python, typescript, streamlit, UI design. Intermediate Python is a must.</li><li>
Strong background in Natural Language Processing (NLP) and Large Language Models (LLMs)</li><li>
Hands-on experience with machine learning and deep learning methods.</li><li>
Proficiency in AI and machine learning frameworks (e.g., TensorFlow, PyTorch).</li><li>
Strong programming skills in languages such as Python, R, or Java.</li><li>
Ability to design and implement complex algorithms for recommendation systems and trend analysis.</li><li>
Experience in data integration and real-time data processing.</li><li>
Understanding of marketing and campaign testing processes.</li></ul>
Preferred Qualifications:<ul><li>
Deep understanding of Large Language Model (LLM) techniques, including Agents, Planning, Reasoning, and other related methods.</li><li>
Experience of all LLM models and their capabilities</li><li>
Experience with building and deploying ML models on cloud platforms such as AWS and AWS tools like Sagemaker, EKS, etc.</li><li>
Prior experience in credit card marketing and in-market testing.</li><li>
Excellent communication and presentation skills along with strong interpersonal skills and ability to translate technical concepts into actionable business strategies.</li><li>
Demonstrated initiative and creativity with a proven track record in leading AI tool development and implementation.</li></ul>
ABOUT US 
Chase is a leading financial services firm, helping nearly half of America&rsquo;s households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs.
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.
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.
Equal Opportunity Employer/Disability/Veterans 
 
 
ABOUT THE TEAM 
 
Our Consumer &amp; Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We&rsquo;re proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions &ndash; all while ranking first in customer satisfaction.</div>

AI/ML Software Engineer II

Haptiq

<div>
 
 
 Overview
 
 
 
 Haptiq is an AI-native enterprise solutions company with purpose-built technology for public &amp; private companies, governments, institutions, asset managers, and family offices. With headquarters in New York City and four global offices, Haptiq is supported by more than 300 engineers and delivery professionals across the globe. By centralizing and unifying data, automating workflows, and surfacing predictive insights, Haptiq enables organizations to scale operational excellence and generate alpha across complex enterprise environments.
 
 
 
 
 
 
 The Opportunity
 
 
 
 We are seeking a highly skilled Director of AI to lead the design, development, and deployment of advanced AI and machine learning solutions. The ideal candidate will have deep expertise in Large Language Models (LLMs), traditional AI/ML methodologies, and strong Python programming skills. You will collaborate with data scientists, engineers, and product teams to create scalable and innovative AI-powered applications.
 
 
 
 
 
 
 Responsibilities and Duties&nbsp;&nbsp;
 
 
 <ul>
 <li>
 Design and implement AI/ML architectures, including LLM-based and traditional ML models.
 </li>
 <li>
 Develop and optimize AI solutions for scalability, efficiency, and performance.
 </li>
 <li>
 Evaluate and integrate emerging AI technologies, tools, and frameworks.
 </li>
 <li>
 Collaborate with data engineers to build robust data pipelines for model training and inference.
 </li>
 <li>
 Ensure AI systems align with business objectives and technical requirements.
 </li>
 <li>
 Drive best practices in AI governance and monitoring.
 </li>
 <li>
 Optimize AI models.
 </li>
 <li>
 Stay up-to-date with advancements in AI, LLMs, and ML algorithms.
 </li>
 <li>
 Provide technical leadership and mentorship to software development teams, guiding them on AI architecture and best practices.
 </li>
 <li>
 Evangelize AI capabilities across the organization and provide strategic guidance on AI adoption.
 </li>
 <li>
 Foster a culture of innovation and continuous learning within the AI/ML teams.
 </li>
 <li>
 Advocate for AI-driven solutions and communicate their value to stakeholders.
 </li>
 </ul>
 
 
 
 
 
 Requirements
 
 
 <ul>
 <li>
 Bachelor's or Master&rsquo;s degree in Computer Science, Data Science, AI, or a related field.
 </li>
 <li>
 Proven experience designing and deploying AI/ML solutions in a production environment.
 </li>
 <li>
 Strong expertise in LLMs (e.g., GPT, BERT, LLAMA) and traditional ML techniques.
 </li>
 <li>
 Proficiency in Python and ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
 </li>
 <li>
 Experience with cloud platforms (AWS, Azure, or GCP) and MLOps tools.
 </li>
 <li>
 Knowledge of data engineering concepts, SQL, and NoSQL databases.
 </li>
 <li>
 Strong problem-solving skills and ability to communicate complex AI concepts clearly.
 </li>
 </ul>
 
 
 
 
 
 Pluses
 
 
 <ul>
 <li>
 Experience with AI-driven applications such as chatbots, NLP, and computer vision.
 </li>
 <li>
 Familiarity with vector databases and retrieval-augmented generation (RAG).
 </li>
 <li>
 Understanding of AI security, privacy, and regulatory considerations.
 </li>
 <li>
 Experience with containerization (Docker, Kubernetes) and CI/CD pipelines.
 </li>
 </ul>
 
 
 
 
 
 Why Join Us?
 
 
 
 We value creative problem solvers who learn fast, work well in an open and diverse environment, and enjoy pushing the bar for success ever higher.&nbsp;We do work hard, but we also choose to have fun while doing it.
 
 
 
 
 
 
 
 The annual compensation range for this role is $220,000 &ndash; $250,000 USD
 
 
 
</div>

Director of AI

<div>JOB DESCRIPTION 
Our Branch Network Modeling team develops advanced analytics and machine learning solutions that inform high-impact decisions across physical location strategy and field workforce effectiveness.
As an Applied AI Modeling Vice President in Branch Network Modeling team, you will build advanced artificial intelligence (AI) and machine learning (ML) models that directly shape high-stakes decisions impacting Chase&rsquo;s branch network and the bankers who serve our customers. Your models will help optimize our branch network, using geospatial AI and graph-based models to determine where Chase should invest, grow, or reposition its physical footprint, or will empower our bankers in the field to serve our customers using techniques like reinforcement learning and behavioral science.
Job responsibilities<ul><li>
Develop and launch AI and ML models that solve complex, ambiguous business problems in Consumer Banking, spanning areas such as retail network optimization, investment optimization, resource allocation, and sales effectiveness.
</li><li>Lead modeling engagements end-to-end, including interfacing with business, governance, UX, and technology stakeholders; articulating clear business use cases; delivering on project plans; and working with large, complex datasets &mdash; including geospatial, demographic, transactional, and behavioral data &mdash; to formulate testable business hypotheses.
</li><li>Translate technical model outputs into clear, actionable recommendations for non-technical business partners in Real Estate, Finance, and Market Strategy.
</li><li>Partner with governance teams to expedite fair and thorough model reviews, track performance metrics, and maintain adherence to regulatory compliance standards.
</li></ul>Required qualifications, capabilities, and skills<ul><li>
Advanced degree (master&rsquo;s or PhD) in a quantitative or spatial discipline such as Computer Science, Statistics, Machine Learning, Operations Research, Applied Mathematics, or Geography, or a related field.</li><li>
4+ years of hands-on, relevant industry experience in developing and deploying AI/ML models, including statistical modeling, ML, reinforcement learning, or optimization algorithms.
</li><li>Proficient in Python with hands-on experience in ML and deep learning frameworks (TensorFlow, PyTorch) and libraries (e.g., NumPy, Scikit-Learn, Pandas). Strong working knowledge of Jupyter Notebook/Lab and cloud computing.
</li><li>Deep expertise in at least one of the following, with meaningful exposure to at least one other:
<ul><li>Geospatial analytics, spatial statistics, or spatial optimization
</li><li>Graph neural networks, network science, or graph-based optimization
</li><li>Reinforcement learning, multi-armed bandits, or online/continuous learning
</li><li>Behavioral modeling, adaptive intervention design, or human performance optimization
</li></ul></li></ul>Preferred qualifications, capabilities, and skills<ul><li>
Hold a PhD in a relevant discipline.</li><li>
Experience developing advanced AI or ML models in consumer finance, logistics, major retailers, or AI-native platforms.
</li><li>Experience with at least one of the following: geospatial tools and libraries (e.g., GeoPandas, PySAL, H3, Esri/ArcGIS, Carto, Wherobots, QGIS), graph ML frameworks (e.g., PyTorch Geometric, DGL, NetworkX), RL libraries (e.g., RLlib, Stable Baselines, Vowpal Wabbit).
</li><li>Familiarity with behavioral science concepts (e.g., nudge theory, decision theory) or experience building adaptive, continuous learning, or recommendation systems.
</li><li>Experience with Databricks, Snowflake, or similar platforms.
</li></ul>ABOUT US 
Chase is a leading financial services firm, helping nearly half of America&rsquo;s households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs.
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.
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.
Equal Opportunity Employer/Disability/Veterans 
 
 
ABOUT THE TEAM 
<div>
Our Consumer &amp; Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We&rsquo;re proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions &ndash; all while ranking first in customer satisfaction.</div><div> 
 
</div><div>The CCB Data &amp; Analytics team responsibly leverages data across Chase to build competitive advantages for the businesses while providing value and protection for customers. The team encompasses a variety of disciplines from data governance and strategy to reporting, data science and machine learning. We have a strong partnership with Technology, which provides cutting edge data and analytics infrastructure. The team powers Chase with insights to create the best customer and business outcomes.</div></div>

Applied AI/ML Modeling - Vice President

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