ai engineer

parts specialist

accounting specialist

ai enablement analyst

ar specialist

ai specialist

BlackRock

<div><div><div>Location:</div>
<div><div>New York, New York</div>
</div></div><div><div>Team:</div>
<div>Corporate Strategy</div>
</div><div>Job Requisition #: R263272</div>
<div>Date posted: Apr. 13, 2026</div></div>
 <div><h2 class="jobSectionHeader">Job description</h2>
<div>About this role
Role Overview
We are seeking a hands-on, execution-oriented Vice President to work directly with the Chief Strategic Advisor to Aladdin on identifying, exploring, and applying AI and new technologies and tools to a broad set of business problems at BlackRock.
This role is focused on experimentation, learning, and prototypingrather than ownership of said tools or platform. The prototypes may lead to production implementation which will be done through the appropriate existing teams at BlackRock. The successful candidate may be exposed to a wide range of business problems&mdash;spanning investing, operations, client service, distribution, and corporate functions&mdash;and will help brainstorm, prototype, and demonstrate how AI can improve productivity and unlock new business opportunities.
The position will sit within the broader Portfolio Analytics Group (PAG) team to enable collaboration and sharing of best practices, while reporting both to Strategic Advisor and PAG.
Key Responsibilities
Applied AI &amp; Problem Solving<ul><li>Partner with senior leadership to explore AI-driven opportunities across the firm, with exposure to a wide range of business challenges</li><li>Independently prototype, test, and iterate on AI-enabled solutions using existing firm infrastructure and the latest tools</li><li>Translate business questions and pain points into practical proofs of concept with tangible business impact</li><li>Embrace an experimental mindset&mdash;rapid iteration, learning from results, and adjusting direction as needed</li></ul>
Collaboration &amp; Influence<ul><li>Engage with business teams across all parts of the firm to brainstorm and refine use cases</li><li>Influence adoption by demonstrating value through working examples</li><li>Serve as a connector between business teams and technical partners, helping shape ideas and approaches</li></ul>
Knowledge Sharing &amp; Enablement<ul><li>Capture and share learnings, patterns, and best practices across the organization</li><li>Contribute to an internal community of practice around AI and emerging technologies</li><li>Stay current on AI, fintech, and productivity trends and proactively surface ideas relevant to the firm</li></ul>
What Success Looks Like (12 Months)<ul><li>A diverse set of AI-driven experiments tested across multiple business areas</li><li>Tangible productivity improvements or new capability demonstrations in select workflows or business problems</li><li>Strong working relationships with business leaders and increased comfort engaging with AI tools</li><li>A clearer organizational understanding of where AI can&mdash;and cannot&mdash;add value</li></ul>
Qualifications &amp; Experience<ul><li>B.S./M.S. in Computer Science, Engineering, or related discipline preferred, though technical fluency and hands-on comfort with technology is key</li><li>4+ years of professional experience, with proven experience in using technology to deliver innovative and analytical solutions</li><li>Experience in financial services, investing, fintech, or consulting is helpful but not required</li><li>Deep technical fluency in Python with hands-on experience building scalable, production-grade services</li><li>Strong knowledge of agentic design patterns, such as planning/execution loops, routing/specialist agents, retrieval + tool orchestration, verification/reflection, and human-in-the-loop approvals using frameworks like Google ADK, LangChain and LangGraph or similar</li><li>Ability to learn new skills and concepts quickly, highly adaptable</li><li>Strong communication skills and interpersonal skills in working with a diverse set of stakeholders</li></ul>
For New York, NY Only the salary range for this position is USD$137,500.00 - USD$194,000.00 . Additionally, employees are eligible for an annual discretionary bonus, and benefits including healthcare, leave benefits, and retirement benefits. BlackRock operates a pay-for-performance compensation philosophy and your total compensation may vary based on role, location, and firm, department and individual performance.

Our benefits 
 
To help you stay energized, engaged and inspired, we offer a wide range of benefits including a strong retirement plan, tuition reimbursement, comprehensive healthcare, support for working parents and Flexible Time Off (FTO) so you can relax, recharge and be there for the people you care about.
Our hybrid work model
BlackRock&rsquo;s hybrid work model is designed to enable a culture of collaboration and apprenticeship that enriches the experience of our employees, while supporting flexibility for all. Employees are currently required to work at least 4 days in the office per week, with the flexibility to work from home 1 day a week. Some business groups may require more time in the office due to their roles and responsibilities. We remain focused on increasing the impactful moments that arise when we work together in person &ndash; aligned with our commitment to performance and innovation. As a new joiner, you can count on this hybrid model to accelerate your learning and onboarding experience here at BlackRock.
About BlackRock
At BlackRock, we are all connected by one mission: to help more and more people experience financial well-being. Our clients, and the people they serve, are saving for retirement, paying for their children&rsquo;s educations, buying homes and starting businesses. Their investments also help to strengthen the global economy: support businesses small and large; finance infrastructure projects that connect and power cities; and facilitate innovations that drive progress.
This mission would not be possible without our smartest investment &ndash; the one we make in our employees. It&rsquo;s why we&rsquo;re dedicated to creating an environment where our colleagues feel welcomed, valued and supported with networks, benefits and development opportunities to help them thrive.<div>
For additional information on BlackRock, please visit @blackrock<div>
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 | Twitter: @blackrock<div>
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 | LinkedIn: www.linkedin.com/company/blackrock<div>
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BlackRock is proud to be an equal opportunity workplace. We are committed to equal employment opportunity to all applicants and existing employees, and we evaluate qualified applicants without regard to race, creed, color, national origin, sex (including pregnancy and gender identity/expression), sexual orientation, age, ancestry, physical or mental disability, marital status, political affiliation, religion, citizenship status, genetic information, veteran status, or any other basis protected under applicable federal, state, or local law. View the EEOC&rsquo;s Know Your Rights poster and its supplement<div>
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 and the pay transparency statement<div>
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.</div><div>
BlackRock is committed to full inclusion of all qualified individuals and to providing reasonable accommodations or job modifications for individuals with disabilities. If reasonable accommodation/adjustments are needed throughout the employment process, please email Disability.Assistance@blackrock.com<div>
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. All requests are treated in line with our privacy policy<div>
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.<div>
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BlackRock will consider for employment qualified applicants with arrest or conviction records in a manner consistent with the requirements of the law, including any applicable fair chance law.</div>
<div><div>Job Requisition #
 
R263272</div></div></div>

Applied AI & Business Innovation, Vice President

Bisnow

<div>
 
 
 We&rsquo;re hiring an entry-level AI Engineer to help our company get more value out of AI every day. This is a new, hands-on role for someone genuinely excited about AI&mdash;not someone with a decade of ML experience. You&rsquo;ll be on the front lines of applying AI in a real business: building Claude skills, writing programs with Claude Code, and creating practical tools and workflows that improve how teams work every day.
 
 
 
 
 
 
 This is a rare opportunity to grow into an AI career from the ground floor. You don&rsquo;t need prior professional experience&mdash;what matters is curiosity, clear thinking, a willingness to experiment, and strong written communication. If you&rsquo;ve been teaching yourself tools like Claude, ChatGPT, or Cursor through side projects or automations, you&rsquo;ll fit right in.
 
 
 
 
 
 
 You&rsquo;ll work closely with the CTO and engineering leadership, partner across teams like Editorial, Sales, Marketing, Events, and Operations, and help identify where AI can remove toil and create real leverage&mdash;all while learning, experimenting, and shipping solutions that actually get used.
 
 
 
 
 
 Bisnow Overview
 
 
 
 Bisnow is the leading B2B media platform powering the commercial real estate industry. We connect CRE professionals through award-winning news, high-impact events, marketing solutions, recruiting services, and sales enablement tools that drive real business results.
 
 
 With 1.7M+ subscribers and 400+ events annually across 47 markets in the U.S., Canada, the UK, Ireland, and the Netherlands, we don&rsquo;t just cover the industry, we help move it forward.
 
 
 We inform. We connect. We create opportunities that turn into deals. Global mindset. Hyper-local execution.
 
 
 
 Key Responsibilities
 
 
 
 
 
 Build Claude Skills for the Company
 
 
 
 
 <ul>
 <li>
 Design, write, and maintain Claude skills (SKILL.md files with YAML frontmatter and supporting scripts) that encode repeatable workflows our teams use every day.
 </li>
 <li>
 Interview stakeholders across the business to identify tasks worth turning into skills &mdash; from editorial workflows to sales outreach to data pulls.
 </li>
 <li>
 Follow skill authoring best practices: clear when-to-use descriptions, progressive disclosure, bundled reference files, and embedded scripts when needed.
 </li>
 <li>
 Test, evaluate, and iterate on skills &mdash; measure whether they actually improve outputs versus a baseline prompt, and tune accordingly.
 </li>
 <li>
 Maintain a central, documented skill library with versioning and clear usage guidance.
 
 
 
 </li>
 </ul>
 
 
 Build Programs with Claude Code
 
 
 
 
 <ul>
 <li>
 Use Claude Code as a daily collaborator to build internal tools, automations, scripts, and small applications.
 </li>
 <li>
 Write AGENTS.md and CLAUDE.md files that teach agents our coding standards, repo structure, and team conventions.
 </li>
 <li>
 Develop agentic workflows that combine Claude Code with MCP (Model Context Protocol) servers for Salesforce, Google Workspace, Slack, GitHub, and internal systems.
 </li>
 <li>
 Apply the Plan / Execute / Review loop &mdash; decompose work into scoped tasks, run them through agents, review carefully, and ship.
 </li>
 <li>
 Ship real code: pull requests, tests, documentation, deployment &mdash; working alongside senior engineers for mentorship and code review.
 
 
 
 </li>
 </ul>
 
 
 Enable AI Adoption Across the Company
 
 
 
 
 <ul>
 <li>
 Be the internal go-to person for "how do I get Claude to help me with this?"
 </li>
 <li>
 Run training sessions, office hours, and hands-on workshops for non-technical teams on prompting, Claude Projects, skills, and agent use.
 </li>
 <li>
 Write and maintain internal documentation: prompt libraries, skill directories, how-to guides, and best-practice playbooks.
 </li>
 <li>
 Partner with team leads to identify high-value AI use cases in Editorial, Sales, Marketing, Events, Finance, and Operations &mdash; then prototype solutions.
 </li>
 <li>
 Stay current on AI product releases (Claude, Claude Code, MCP ecosystem, browser agents, etc.) and translate what matters into actionable recommendations for the business.
 
 
 
 </li>
 </ul>
 
 
 Prototype and Evaluate AI Features
 
 
 
 
 <ul>
 <li>
 Build quick proofs-of-concept using the Anthropic API &mdash; Python, JavaScript, or whatever fits.
 </li>
 <li>
 Design and run evaluations: what does "good" output look like, what percentage of the time does the workflow succeed, and what happens in the failure cases?
 </li>
 <li>
 Think probabilistically. AI features are not deterministic, and part of your job is designing around that reality.
 </li>
 <li>
 Integrate AI workflows with existing systems via MCP connectors, simple APIs, and light glue code.
 
 
 
 </li>
 </ul>
 
 
 Collaborate and Document
 
 
 
 
 <ul>
 <li>
 Write clearly &mdash; in Slack, in docs, in skill descriptions, in PR comments. Written communication is central to this role.
 </li>
 <li>
 Demo your work frequently, gather feedback, and iterate.
 </li>
 <li>
 Contribute to internal AI policy and responsible-use guidelines.
 
 
 
 </li>
 </ul>
 
 
 Our AI Stack
 
 
 
 
 <ul>
 <li>
 Core AI Platform: Claude (claude.ai, Claude Projects, Claude Code), Anthropic API
 </li>
 <li>
 Skills &amp; Agents: Claude skills (SKILL.md), subagents, MCP servers, Claude in Chrome
 </li>
 <li>
 Integrations: Salesforce, Google Workspace (Drive, Gmail, Calendar), Slack, GitHub, n8n
 </li>
 <li>
 Languages: Python and JavaScript/TypeScript (you should be comfortable reading and writing basic code in at least one)
 </li>
 <li>
 Supporting Stack: PHP/Laravel, AWS, Redshift/MySQL/PostgreSQL, Docker &mdash; you are not expected to know these on day one, but exposure will come quickly
 </li>
 <li>
 Dev Environment: macOS, VS Code, Git/GitHub, Claude Code CLI
 
 
 
 </li>
 </ul>
 
 What are we looking for?
 
 
 
 
 Required
 
 
 
 <ul>
 <li>
 Genuine, demonstrable enthusiasm for AI. Tell us what you have built, broken, or experimented with &mdash; side projects, automations, Claude Projects, custom GPTs, hobbyist scripts, anything.
 </li>
 <li>
 Strong written communication. You can explain a technical concept in plain English and craft clear, specific prompts.
 </li>
 <li>
 Comfort with basic programming. You can read and write simple Python or JavaScript, use the command line, and work with Git.
 </li>
 <li>
 Structured thinking. You can break a messy problem into steps and describe each one clearly &mdash; this is the core skill behind both prompting and skill authoring.
 </li>
 <li>
 Willingness to work in public. You ask questions in Slack, demo rough drafts, and share what you learn.
 </li>
 <li>
 Curiosity and self-direction. When you hit something you do not know, your first instinct is to go figure it out &mdash; often with Claude as your study partner.
 </li>
 <li>
 Attention to detail. Small changes in prompts, skill descriptions, and instructions matter a lot.
 
 
 
 </li>
 </ul>
 
 
 Nice to Have (none of these are required)
 
 
 
 
 <ul>
 <li>
 A portfolio of AI experiments &mdash; custom GPTs, Claude skills or Projects, agent workflows, Discord/Slack bots, browser automations, etc.
 </li>
 <li>
 Experience using Claude Code, Cursor, GitHub Copilot, or another AI coding assistant on a real project.
 </li>
 <li>
 Familiarity with APIs and JSON &mdash; making a REST call, parsing a response.
 </li>
 <li>
 Exposure to SQL. We live in Redshift and will teach you, but any prior SQL helps.
 </li>
 <li>
 Experience writing technical documentation, tutorials, or how-to content.
 </li>
 <li>
 A background in teaching, training, customer support, or writing &mdash; anyone who has explained technical ideas to non-technical people.
 </li>
 <li>
 Awareness of the MCP ecosystem or agent frameworks.
 </li>
 <li>
 A degree in a technical field is welcome but not required &mdash; we hire based on skills, not credentials.
 
 
 
 </li>
 </ul>
 
 What's in it for you?
 
 
 
 <ul>
 <li>
 Competitive compensation structure!
 </li>
 <li>
 Medical, Dental and Vision Insurance - effective the 1st of the month following your start date
 </li>
 <li>
 Short and Long Term Disability Insurance - this includes maternity and paternity leaves as well.
 </li>
 <li>
 401K Profit Sharing Plan
 </li>
 <li>
 Flexible Spending Account
 </li>
 <li>
 Health Savings Account
 </li>
 <li>
 Dependent Care Account
 </li>
 <li>
 Unlimited Vacation Days
 </li>
 <li>
 7 days paid sick leave
 </li>
 <li>
 9 paid Holidays
 </li>
 <li>
 Referral Bonus Program
 </li>
 <li>
 Pet Friendly Offices
 </li>
 <li>
 You&rsquo;ll get to work with incredibly smart, passionate, driven, ambitious, kind, caring and mindful people and will rarely experience an overload of policies, bureaucracy or toxicity (the latter, we do not tolerate)
 
 
 
 </li>
 </ul>
 Before applying, please read our values below. Our values describe and give insight into our culture. If you do not share the same values, this role will not be a mutually beneficial fit. If you do share these values and want to apply, we encourage you to do so.
 
 
 
 
 Our values demand that we be curious, self-aware, fearless, consistent. We say yes to seemingly insurmountable challenges because we dare ourselves to push further. And we go the distance because we are individually and collectively entrepreneurial, always asking: Why can&rsquo;t it be done? We find a way because we care more than the competition. We embrace team and disown ego. We are ruthlessly disciplined and unabashedly kind. We unreservedly challenge the status quo and vigorously fight for new levels of excellence. We believe the difference between good and great is exceptional communication. We obsess over creating value for our team and our customers. We push ourselves and our industry to be more inclusive, to champion diversity and to fight racism, gender bias and all forms of inequality. We never peak. We never quit. We never have excuses. We own our failures and we commit to being smarter and stronger because of them. We give our best today and even better tomorrow. We are here to win.
 
 
 
 
 Bisnow will not offer sponsorship for employment status (including, but not limited to, H1-B visa status and other employment-based nonimmigrant visas) for this position. Accordingly, all applicants must be currently authorized to work in the United States on a full-time basis and must not require Bisnow's sponsorship to continue to work legally in the United States.
 
 
 We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
 
 
 Get To Know Our Teams! &lt; Click here for more info about Bisnow, Biscred &amp; SelectLeaders!
</div>

AI Engineer

Metropolitan Commercial Bank

<div>Come Work With Us:

Metropolitan Commercial Bank (&quot;MCB&quot; or the &quot;Bank&quot;) is a New York City&ndash;based, full-service commercial bank providing tailored banking solutions to businesses, institutions, and individuals. Founded in 1999, MCB operates banking centers in Manhattan and Boro Park, Brooklyn, within New York City, as well as in Great Neck on Long Island, New York, and Lakewood, New Jersey. The Bank recently expanded to Miami, Florida with their newest Brickell banking center.

Metropolitan Commercial Bank offers a comprehensive suite of commercial, business, and personal banking products and services to small businesses, middle-market and corporate enterprises, private and public institutions, municipalities, and local government entities.

The Bank has earned national recognition for its financial performance, innovation, and strategic growth. The Bank was named one of Newsweek's Best Regional Banks in 2024 and 2025. Additionally, MCB recently received Editor's Choice recognition at the Banking Tech Awards USA for Digital Onboarding &amp; Omnichannel Banking and in 2026, the Bank earned Great Place To Work certification and received the Web Award Standard of Excellence for MCBankNY.com.

We are a client-focused organization that values technological innovation and excellence. A strong technical mindset, AI fluency, and adaptive skills are essential for our employees to effectively contribute to our mission and drive our success. We foster human&ndash;AI teaming and strong governance to ensure technology is used responsibly and in alignment with Bank policies and procedures. For more information about the Bank, please visit the Bank's website at MCBankNY.com. 


Position Summary:

Metropolitan Commercial Bank (the &quot;Bank&quot;) is seeking an Applied AI Analyst to support the design, configuration, testing, and monitoring of applied AI, Generative AI, machine learning, and agentic workflow solutions in a highly regulated banking environment. Working under the guidance of AI Scientists and in partnership with engineering, risk, and business teams, this role focuses on internal human-in-the-loop use cases such as AI-assisted loan documentation generation, fraudulent transaction detection models, policy and knowledge copilots, workflow automation, and other productivity solutions. A meaningful portion of the role is dedicated to AI solution intake and delivery support&mdash; learning new business domains, engaging business owners, preparing required documentation, and supporting vendor and risk reviews, so that solutions can be built and deployed under strict control gates and documentation standards aligned to internal and external regulations. The role emphasizes strong documentation, human oversight, privacy-by-design, cybersecurity, and disciplined lifecycle controls aligned to internal and external regulations. The role also emphasizes familiarity with Microsoft Foundry / Foundry Agent Service, approved Microsoft Copilot ecosystems, RAG architectures, and enterprise data platforms such as Snowflake.

Standard 4-day in-office requirement, 1 day remote (of your choosing)

Essential Functions &amp; Responsibilities

Applied AI solution development &amp; analysis:
<ul>
<li>Support AI Scientists in building, configuring, and testing applied AI/GenAI solutions for high-value banking use cases such as credit memo generation, policy/regulatory summarization, knowledge assistants, and internal productivity copilots.</li>
<li>Develop and refine prompts, grounding instructions, structured outputs, evaluation datasets, and Retrieval-Augmented Generation (RAG) pipelines using embeddings, vector search, document chunking, and metadata-driven retrieval.</li>
<li>Prepare and transform structured and unstructured data; assist with API integrations, notebooks, and repeatable workflows that improve quality, traceability, and analyst productivity.</li>
</ul>
Agentic workflow design &amp; orchestration:
<ul>
<li>Assist in designing and testing agentic workflows using approved enterprise platforms and frameworks, including multi-agent patterns, human-in-the-loop approvals, handoffs, and subagent / agents-as-tools designs.</li>
<li>Work with emerging interoperability patterns such as Model Context Protocol (MCP), tool / skill / plugin integration, and Agent-to-Agent (A2A) connectivity under supervision and within approved guardrails.</li>
<li>Document workflow steps, tool schemas, fallback logic, escalation paths, and safe disablement / rollback procedures for agentic and GenAI solutions.</li>
</ul>
Microsoft Foundry, Copilot, and enterprise platform enablement:
<ul>
<li>Support prototyping and evaluation in Microsoft Foundry / Foundry Agent Service and related Microsoft ecosystems (for example, Microsoft 365 Copilot) while partnering with Engineering and Data teams operating on Snowflake and other approved enterprise platforms.</li>
<li>Assist with prompt and agent configuration, retrieval integration, logging, model / tool versioning, and operational runbooks.</li>
</ul>
Evaluation, testing, and monitoring:
<ul>
<li>Create and execute test cases for accuracy, groundedness, hallucination, task completion, retrieval quality, bias/fairness, and basic adversarial or prompt-injection scenarios; escalate issues promptly.</li>
<li>Track KPIs/KRIs, output quality, drift indicators, and user feedback; maintain evidence needed for pilot reviews, production monitoring, and periodic reassessment.</li>
</ul>
AI governance, intake documentation, and cybersecurity/privacy controls:
<ul>
<li>Support AI use-case intake and governance processes by preparing required documentation (e.g., AI intake forms, model/system inventories, change-control artifacts, and audit-ready evidence packs) aligned to MCB's Trustworthy &amp; Responsible AI Principles and internal approval processes.</li>
<li>Learn domain and process context for new use cases by speaking with business owners and control partners; translate requirements into clear problem statements, data needs, user journeys, control gates, and documentation required to comply with internal and external regulations.</li>
<li>Support third-party / AI vendor due diligence by collecting and organizing evidence, reviewing vendor documentation, and helping risk-tier AI vendors and solutions in partnership with Third-Party Risk and Cyber/IT; act as an AI subject matter expert in providing an understanding of AI-specific risks.</li>
<li>Apply privacy-by-design, data minimization, access-control, and secure prompt/data handling practices; follow approved tooling and build standards.</li>
</ul>
Cross-functional partnership and continuous learning:
<ul>
<li>Communicate findings, limitations, and recommendations clearly to AI Scientists, managers, control partners (Model Risk, Compliance/Legal, Cyber/IT, Data Privacy), and business stakeholders; incorporate feedback quickly and accurately.</li>
<li>Contribute to playbooks, standard operating procedures, and reusable templates for prompts, evaluations, agent patterns, and workflow controls.</li>
</ul>
Innovation and best practices:
<ul>
<li>Stay current on practical applied-AI methods&mdash;including RAG, evaluation frameworks, agentic workflow design, MCP, A2A, and Microsoft Foundry capabilities&mdash;and recommend fit-for-purpose uses under established control gates.</li>
<li>Demonstrate sound judgment, curiosity, and willingness to learn from senior AI Scientists while promoting responsible AI, reproducibility, and disciplined execution.</li>
</ul>
Qualifications &amp; Skills:
<ul>
<li>2+ years of work experience.</li>
<li>Bachelor's degree in Computer Science, Data Science, Statistics, Engineering, Information Systems, Mathematics, or a related field is preferred. Relevant internships, apprenticeships, or comparable hands-on AI, analytics, or automation project experience will be considered.</li>
<li>Working knowledge of Python, SQL, notebooks, REST APIs, JSON/YAML, and version control (e.g., Git) for data analysis and AI workflow support.</li>
<li>Understanding of traditional machine learning model development and lifecycle concepts, including model training, data leakage prevention, testing/validation, monitoring, and common performance metrics for classification and regression.</li>
<li>Familiarity with LLM application patterns, including prompt engineering, structured outputs, function/tool calling, Retrieval-Augmented Generation (RAG), embeddings, and vector search.</li>
<li>Familiarity with Microsoft Foundry (including Foundry Agent Service), Microsoft 365 Copilot / Copilot Studio concepts, and approved enterprise data/AI platforms such as Snowflake.</li>
<li>Understanding of agentic workflow concepts such as MCP servers/tools, skills/plugins, subagents or agents-as-tools, handoffs, human-in-the-loop controls, and A2A integration patterns.</li>
<li>Ability to test and evaluate AI outputs for accuracy, groundedness, hallucination, retrieval quality, bias/fairness, and basic security misuse scenarios.</li>
<li>Working knowledge of model and data governance concepts, including documentation, monitoring, change control, inventories, audit trails, and three-lines-of-defense oversight in a regulated environment.</li>
<li>Strong written and verbal communication skills; ability to turn technical findings into clear summaries, test evidence, and action items for business and risk stakeholders.</li>
<li>Analytical, organized, and adaptable mindset; ability to learn quickly, manage multiple workstreams, and balance innovation with risk discipline.</li>
</ul>
Preferred Qualifications &amp; Skills
<ul>
<li>Financial services exposure in fraud, AML/KYC/CDD/EDD, underwriting, commercial banking, treasury, policy governance, or contact center analytics.</li>
<li>Hands-on experience with Microsoft Foundry / Foundry Agent Service, Azure AI Search or equivalent retrieval tooling, M365 Copilot / Copilot Studio, Snowflake, or similar enterprise AI platforms is a plus.</li>
<li>Experience with RAG architectures, vector databases / vector search, document chunking, metadata extraction, OCR/document understanding, and prompt engineering.</li>
<li>Exposure to agentic workflow patterns such as MCP tool integration, skills/plugins, handoffs, subagents, A2A, and evaluation frameworks for task completion and tool-call quality.</li>
<li>Familiarity with LangChain, Semantic Kernel, LangGraph, Microsoft Agent Framework, or similar orchestration libraries/frameworks is a plus.</li>
<li>Awareness of external regulations including SR 11-7, SR 23-4, AI use-case intake / inventory processes, privacy, cybersecurity, and third-party risk expectations in a regulated environment.</li>
<li>Ability to work in a constantly evolving environment.</li>
<li>Must have excellent written and verbal communication skills.</li>
<li>Demonstrate analytical, troubleshooting, and problem-solving skills.</li>
<li>The ability to learn new technologies quickly.</li>
<li>Self-directed individual with strong organizational and communication skills.</li>
<li>Ability to synthesize multiple sources of information with an understanding of the bigger picture needs and operations of the Bank.</li>
<li>Collaborative team player who can find practical solutions in a dynamic work environment.</li>
<li>Ability to handle ambiguity, manage multiple tasks at once, and shift effectively between priorities.</li></ul> 


Potential Salary: $120,000 - $150,000 annually

This salary range reflects base wages and does not include benefits, bonus, or incentive pay. Salary bands are purposefully wide ranging to encompass the different factors considered in determining where a candidate falls in the range, including but not limited to, seniority, performance, experience, education, and any other legitimate, non-discriminatory factor permitted by law. Final offer amounts are determined by multiple factors including candidate experience and expertise and may vary from the amounts listed here.

Metropolitan Commercial Bank provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws.

This applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.</div>

Applied AI Analyst

Google

<div>This posting is for an existing vacancy. 
Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Waterloo, ON, Canada; Toronto, ON, Canada; New York, NY, USA.<h3 class="jobSectionHeader">
Minimum qualifications:</h3><ul>
<li>Bachelor&rsquo;s degree or equivalent practical experience. 
</li>
<li>8 years of experience in software development. 
</li>
<li>5 years of experience testing, and launching software products, and 3 years of experience with software design and architecture.</li>
<li>5 years of experience with one or more of the following: Speech/audio (e.g., technology duplicating and responding to the human voice), reinforcement learning (e.g., sequential decision making), ML infrastructure, or specialization in another ML field. 
</li>
<li>5 years of experience with ML design and ML infrastructure (e.g., model deployment, model evaluation).</li>
<li>Experience with core GenAI concepts (e.g., LLM, Multi-Modal) and with text, image, or audio generation.</li></ul> 
<h3 class="jobSectionHeader">
Preferred qualifications:</h3><ul>
<li>Master&rsquo;s degree or PhD in Engineering, Computer Science, or a related technical field. 
</li>
<li>8 years of experience with data structures and algorithms.</li>
<li>3 years of experience in a technical leadership role leading project teams and setting technical direction.</li>
<li>Experience in prompt development, model evaluation, and the creative application of Artificial Intelligence (AI).</li>
<li>Experience in Vertex AI, BigQuery, Cloud Storage, Dialogflow.</li>
<li>Ability to be flexible and resilient in dynamic environments and take ownership of urgent business or customer issues.</li>
</ul><div><h2 class="jobSectionHeader">About the job</h2>
Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google&rsquo;s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.

As a Forward Deployed Developer (FDE), you will be at the forefront of applying Google's Generative AI to solve real-world issues for our customers. You will act as a specialized software developer embedded with key accounts, working to build, deploy, and optimize sophisticated AI agents on our Customer Engagement Suite (CES) platform. You will bridge the gap between our core product developing teams and customer needs, directly accelerating customer success and shaping the future of our AI products.
Applied AI builds conversational agents deployed at a large scale that achieve very meaningful results in the real world. Some examples include the customer agent built for large call center environments, to fast food ordering handled by our Food AI agent. The team is transforming how enterprises connect with customers through the power of AI. We also offer unique experiences for team members where you get to work directly with the model builders (Google DeepMind / Vertex), learn and work with brilliant AI leaders, and have access to Global 1000 customers via our existing Google Cloud relationships. The opportunity in this space is tremendous. 
 
For United States Applicants: 
 
The US base salary range for this full-time position is $262,000-$365,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. 
 
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google. 
 
For Canada Applicants:
The Canada base salary range for this full-time position is CAD 260,000-267,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training.
Please note that the compensation details listed in Canada role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.</div><div><h2 class="jobSectionHeader">
Responsibilities</h2><ul>
<li>Partner directly with customers to understand their business issues. Design, co-develop, debug, and deploy custom conversational AI agents and solutions to accelerate their time to value.</li>
<li>Act as a high-level problem solver, empowered to write bespoke code, develop custom tooling, and even contribute directly to the core product codebase to resolve critical customer issues. 
</li>
<li>Systematize your learnings from customer engagements by creating reusable tools, building documentation and accelerators, and establishing best practices that can be used across the organization. 
</li>
<li>Serve as a critical feedback loop to our core product and developing teams. Synthesize firsthand insights from the field to influence product strategy, identify feature gaps. 
</li>
<li>Act as a subject matter expert, providing technical guidance and best practices to customers on agent improvement, performance tuning, Continuous Integration/Continuous Deployment (CI/CD) pipelines, and production readiness. 
</li>
</ul></div>Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.</div>

Senior Staff Forward Deployed Developer, Google Cloud

CHANEL

<div>
 
 At Chanel, we are focused on creating an inclusive culture that nurtures personal growth, contributing to collective progress. We believe the uniqueness of each individual increases the diversity, complementarity, and effectiveness of our teams. We strongly encourage your application, as we value the perspective, experience and potential you could bring to CHANEL.
 
 
 
 
 About the role:
 
 
 
 CHANEL is now hiring a Data Scientist for our Digital Client Experience (DCX) Data team in New York City. Our ideal Data Scientist is able and experienced to lead advanced analytics and data-driven initiatives that enhance our client experiences digitally and in boutiques. This role will define and execute the data science roadmap, develop machine learning models, and establish best practices&mdash;while operating as a stand-alone contributor within the DCX Data Team.
 
 
 Beyond technical delivery, this role will play a pivotal part in making CHANEL US more AI-driven, piloting Generative AI projects, and driving adoption of advanced analytics across teams through effective change management.
 
 
 
 Required tech:
 
 Python, R, Machine Learning, Big Query, SQL, etc.
 
 
 
 What impact you can create at CHANEL:
 
 
 
 
 <ul>
 <li>
 Own and execute the data science roadmap for CHANEL US, aligned with digital transformation priorities.
 </li>
 <li>
 Design and implement advanced analytics solutions, including predictive modeling, machine learning, and AI-driven use cases.
 </li>
 <li>
 Lead AI adoption initiatives, introducing innovative approaches and piloting Generative AI projects for business impact while protecting the brand.
 </li>
 <li>
 Drive change management to embed advanced analytics into day-to-day workflows, helping teams embrace technology and new ways of working.
 </li>
 <li>
 Establish data science best practices and frameworks for scalable, production-ready models.
 </li>
 <li>
 Execute end-to-end projects: data preparation, feature engineering, model development, deployment, and monitoring.
 </li>
 <li>
 Implement ML Ops practices for model lifecycle management and scalability.
 </li>
 <li>
 Develop data pipelines and automation workflows, including API integrations for system connectivity.
 </li>
 <li>
 Collaborate cross-functionally with Business teams, legal, Tech, and external partners to integrate solutions into production workflows.
 </li>
 <li>
 Manage stakeholders effectively, ensuring alignment and buy-in across Fragrance &amp; Beauty, Fashion, Watches &amp; Fine Jewelry (WFJ) divisions.
 </li>
 <li>
 Communicate complex concepts simply, delivering clear narratives and actionable recommendations to senior leadership.
 </li>
 <li>
 Promote data storytelling and experimentation (e.g., A/B testing) to validate impact and foster a culture of innovation.
 
 
 
 </li>
 </ul>
 
 You are energized by:
 
 
 
 
 <ul>
 <li>
 Exceptional critical and creative thinking skills including evaluating risks and contingencies, developing structure in ambiguity
 </li>
 <li>
 Data-driven decision making for products and services
 </li>
 <li>
 Excellent project management and communication skills
 </li>
 <li>
 Connecting the dots on pain points, bring a key eye for details and expert problem perception with solutions mindset
 </li>
 <li>
 Ability to translate technical jargon into simple business terms
 </li>
 <li>
 Working in a highly collaborative environment
 </li>
 <li>
 Building strong partnerships across business and technology teams in a global organization
 </li>
 <li>
 Championing change and fostering a culture of accountability and innovation
 
 
 
 </li>
 </ul>
 
 What you will bring to the team:
 
 
 
 
 <ul>
 <li>
 Experience with personalization, recommendation of engines, and segmentation
 </li>
 <li>
 API integration and automation skills (e.g., building pipelines, connecting systems) are a strong plus
 </li>
 <li>
 Familiarity with Salesforce CRM systems and digital transformation programs
 </li>
 <li>
 Luxury retail or client-centric industries favorable but not required
 
 
 
 </li>
 </ul>
 
 Required Skills &amp; Qualifications
 
 
 
 
 <ul>
 <li>
 Minimum of 7 years of experience in data science roles with proven ability to deliver projects independently
 </li>
 <li>
 Expert-level coding skills in Python or R, with strong experience in developing and deploying machine learning models
 </li>
 <li>
 SQL proficiency is mandatory for data manipulation and querying large datasets
 </li>
 <li>
 Hands-on experience with Google Big Query as a core analytics platform
 </li>
 <li>
 Familiarity with Generative AI frameworks and emerging AI technologies
 </li>
 <li>
 Experience with MLOps tools and version control (e.g., Git)
 </li>
 <li>
 Strong business acumen and ability to influence organizational change
 </li>
 <li>
 Exceptional communication and stakeholder management skills, including the ability to simplify complexity for senior leaders
 
 
 
 </li>
 </ul>
 
 Position Logistics:
 
 
 
 
 <ul>
 <li>
 Hybrid work &ndash; required 3 days onsite at CHANEL offices in New York City
 </li>
 <li>
 Minimum of 7 years of experience in data science roles with proven ability to deliver projects independently
 </li>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in Data Science or equivalent
 </li>
 <li>
 Chanel, Inc. reserves the right to edit, change, or make exceptions on designations where circumstances where deemed appropriate.
 
 
 
 </li>
 </ul>
 
 
 
 Compensation:
 
 
 
 
 <ul>
 <li>
 The anticipated base salary range for this position is $87,500-$190,000. A base salary is one component of the total compensation for this position. Other forms of variable pay [may/will] be offered for this position. Other components [may/will] include bonus potential, benefits, and/or perks.
 
 
 
 </li>
 </ul>
 
 Benefits and Perks:
 
 
 
 
 <ul>
 <li>
 Wellbeing resources include dedicated paid time off for wellbeing (2-week August Office Closure) and a Wellbeing fund
 </li>
 <li>
 Family and care giving benefits (inclusive of parental leave, fertility support, MilkStork, and Care.com Membership)
 </li>
 <li>
 Generous paid time off policies to include vacation, holiday, sick and volunteer days
 </li>
 <li>
 401K and other incentives
 </li>
 <li>
 Robust healthcare offerings; medical, dental, vision, MDLIVE (virtual care), One Medical, Flexible Spending Accounts (Health Care &amp; Dependent Care), Health Savings Account and Employee Assistance Program
 </li>
 <li>
 Life insurance, Accidental Death &amp; Dismemberment, Short Term Disability, Long Term Disability, Health Advocate, International Business Travel Accident &amp; Medical, and Commuter Transit &amp; Parking
 
 
 
 </li>
 </ul>
 
 Additional Information:
 
 
 
 Chanel is a private company whose values are grounded in creating conditions for people to perform at their best and feel fulfilled and confident in their work. We offer a unique work environment where individuals are encouraged to better understand the brand, the business, and motivations, so that together we can unlock the possibilities of growth. This is reflected in:
 
 
 
 Diversity and Inclusion:
 
 
 
 
 <ul>
 <li>
 At CHANEL, we are intentional in promoting Diversity &amp; Inclusion. We foster respect, empathy, and dignity for all. We believe strongly that the diversity of our people across the full spectrum of human differences is essential to our organisation and the connections we have with each other and our clients.
 </li>
 <li>
 We offer Employee Resource Groups in the US that are voluntary, open to all, employee-led groups formed around a shared identity or lived experience, whose aim is to foster a diverse, inclusive, and equitable community aligned with the values and missions of the communities they support.
 
 
 
 </li>
 </ul>
 
 Chanel Community:
 
 
 
 
 <ul>
 <li>
 CHANEL Community empowers our employees to channel their passions, talents and sense of purpose to contribute to and learn from our communities.
 </li>
 <li>
 Employees are encouraged to take time off annually to volunteer through CHANEL Community. CHANEL also matches employee donations to select charitable organizations.
 
 
 
 </li>
 </ul>
 
 Sustainability:
 
 
 
 
 <ul>
 <li>
 CHANEL Mission 1.5&deg; is our climate action plan. It is focused on transforming the business in line with the ambitions of the Paris Agreement on climate change to limit the average global mean temperature increase to 1.5 degrees Celsius above preindustrial levels.
 </li>
 <li>
 Employees are encouraged to contribute to our US Sustainability efforts at the corporate level and within the divisions, through organized taskforces and initiatives.
 
 
 
 </li>
 </ul>
 
 Arts and Culture:
 
 
 
 
 <ul>
 <li>
 We are committed to extending our legacy of cultural engagement. Global support includes the CHANEL Culture Fund, which supports a select group of leading art culture institutions across the globe, and the CHANEL Next Prize for the next generation of creative talent. US support currently includes Annual sponsorship of the MoMA film program, Tribeca Film Festival programs and Through Her Lens, Support of the Academy Gold Fellowship for Women and Sponsorship of the BAAND Together Dance Festival at Lincoln Center.
 
 
 
 </li>
 </ul>
 
 Fondation Chanel:
 
 
 
 
 <ul>
 <li>
 Since 2011, Fondation CHANEL&rsquo;s mission is for women and girls to be free to shape their own destiny.  Through multi-year partnerships with financial and technical support, Fondation CHANEL is committed to improving the safety and autonomy of women and adolescent girls around the world, impacting over a million women and girls in its first 10 years.
 </li>
 <li>
 For more information, please navigate to the Fondation Chanel website here
 
 
 
 </li>
 </ul>
 
 Career and Leadership Development:
 
 
 
 
 <ul>
 <li>
 We have dedicated in-house teams focused on supporting the onboarding of employees, developing leadership skills via custom programs like Imagine Chanel People, Heart of Leadership and group and individual coaching, and blended online and live classes offered on our Bloom platform and by skilled trainers, such as Shape Your Career, to develop career building skills.
 </li>
 <li>
 Chanel, Inc. benefits and perks are dependent on eligibility and subject to modification by Chanel at any time.
 
 </li>
 </ul>
</div>

Data Scientist

Mindrift

<div>
 
 Please submit your CV in English and indicate your level of English proficiency.
 
 
 
 Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems.
 
 Participation is project-based, not permanent employment.
 
 
 
 
 What This Opportunity Involves
 
 
 
 While each project involves unique tasks, contributors may:
 
 
 <ul>
 <li>
 Design original computational STEM problems that simulate real scientific workflows
 </li>
 <li>
 Create problems that require Python programming to solve
 </li>
 <li>
 Ensure problems are computationally intensive and cannot be solved manually within reasonable timeframes (days/weeks)
 </li>
 <li>
 Develop problems requiring non-trivial reasoning chains and creative problem-solving approaches
 </li>
 <li>
 Verify solutions using Python with standard libraries (Numpy, Pandas, Scipy, scikit-learn)
 </li>
 <li>
 Document problem statements clearly and provide verified correct answers
 
 
 </li>
 </ul>
 
 What We Look For
 
 
 
 This opportunity is a good fit for ML specialists with an experience in python open to part-time, non-permanent projects. Ideally, contributors will have:
 
 
 <ul>
 <li>
 5+ years of hands-on machine learning experience with proven business impact
 </li>
 <li>
 Portfolio of completed projects and publications showcasing real-world problem-solving
 </li>
 <li>
 Expert Python programming for data science (pandas, numpy, scipy, scikit-learn, statsmodels)
 </li>
 <li>
 Expert statistical analysis and machine learning - deep understanding of algorithms, methods, and their practical applications
 </li>
 <li>
 Expert with SQL and database operations for data manipulation and analysis
 </li>
 <li>
 Experience with GenAI technologies (LLMs, RAG, prompt engineering, vector databases)
 </li>
 <li>
 Understanding of MLOps practices and model deployment workflows
 </li>
 <li>
 Knowledge of modern frameworks (TensorFlow, PyTorch, LangChain)
 </li>
 <li>
 Strong written English (C1+)
 
 
 </li>
 </ul>
 
 How It Works
 
 
 
 Apply &rarr; Pass qualification(s) &rarr; Join a project &rarr; Complete tasks &rarr; Get paid
 
 
 
 Project time expectations
 
 
 
 For this project, tasks are estimated to require around 10-20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.
 
 
 
 Compensation
 
 
 
 On this project, contributors can earn up to
 
 $90 per hour equivalent
 
 , depending on their level and pace of contribution.
 
 
 Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.
</div>

Freelance Machine Learning Engineer

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 Senior Associate 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>Oversee the analysis of complex datasets to inform decisions on real-world applications.</li><li>Lead the development and implementation of models and algorithms to enhance existing systems, processes, and products.
</li><li>Supervise data analysis activities and ensure effective visualizations are provided.</li><li>Ensure the writing and deployment of software code in production systems is efficient and meets standards.</li><li>Anticipate risks associated with machine learning solutions and prediction/classification systems and strategize mitigation.
</li><li>Communicate complex issues clearly and credibly to senior management and stakeholders.
</li><li>Foster a transparent cross-functional work environment and influence peers and team members to uphold these standards.</li></ul><div>
Required qualifications, capabilities and skills: 
<ul><li>Master's degree in computer Science, Machine Learning, or a related field with 3+ years experience OR Ph.D in computer Science, Machine Learning, or a related field with 1+ year of experience.
</li><li>Expertise in one or more of the following areas: machine learning, Graph learning, recommendation systems, network analysis, natural language processing, Reinforcement learning, MLOps, Gen AI, LLMs.
</li><li>Solid understanding of core CS concepts, including common data structures and algorithms.</li></ul></div><div>
Preferred qualifications, capabilities and skills: 
<ul><li>Experienced in conducting design and code reviews.</li><li>Proficient in cloud environments such as AWS, GCP, or Azure.</li><li>Experienced in managing and deriving insights from large, both unstructured and structured datasets.</li></ul></div>
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-Senior Associate

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