machine learning director

JPMorganChase

<div><b>JOB DESCRIPTION</b><p><br>
The Chief Data &amp; Analytics Office (CDAO) at JPMorgan Chase is responsible for accelerating the firm&rsquo;s data and analytics journey. This includes ensuring the quality, integrity, and security of the company's data, as well as leveraging this data to generate insights and drive decision-making. The CDAO is also responsible for developing and implementing solutions that support the firm&rsquo;s commercial goals by harnessing artificial intelligence and machine learning technologies to develop new products, improve productivity, and enhance risk management effectively and responsibly.</p><p>
This role offers the unique opportunity to explore novel and complex challenges that could profoundly transform how the bank operates.
</p><p>As a Machine Learning Director, you will have the opportunity to apply sophisticated machine learning methods to complex tasks including natural language processing, speech analytics, time series, reinforcement learning and recommendation systems. You will collaborate with various teams and actively participate in our knowledge sharing community. We are looking for someone who excels in a highly collaborative environment, working together with our business, technologists and control partners to deploy solutions into production. If you have a strong passion for machine learning and enjoy investing time towards learning, researching and experimenting with new innovations in the field, this role is for you. We value solid expertise in Deep Learning with hands-on implementation experience, strong analytical thinking, a deep desire to learn and high motivation.</p><p>
Job Responsibilities</p><ul><li>
Research and explore new machine learning methods through independent study, attending industry-leading conferences, experimentation and participating in our knowledge sharing community</li><li>
Develop state-of-the art machine learning models to solve real-world problems and apply it to tasks such as natural language processing (NLP), speech recognition and analytics, time-series predictions or recommendation systems</li><li>
Collaborate with multiple partner teams such as Business, Technology, Product Management, Legal, Compliance, Strategy and Business Management to deploy solutions into production</li>
Drive Firm wide initiatives by developing large-scale frameworks to accelerate the application of machine learning models across different areas of the business<br>
<li>
</li></ul><p>Required qualifications, capabilities, and skills</p><ul><li>
PhD in a quantitative discipline, e.g. Computer Science, Electrical Engineering, Mathematics, Operations Research, Optimization, or Data Science Or an MS with at least 7 years of industry or research experience in the field.</li><li>
Solid background in NLP or speech recognition and analytics, personalization/recommendation and hands-on experience and solid understanding of machine learning and deep learning methods</li><li>
Extensive experience with machine learning and deep learning toolkits (e.g.: TensorFlow, PyTorch, NumPy, Scikit-Learn, Pandas)</li><li>
Ability to design experiments and training frameworks, and to outline and evaluate intrinsic and extrinsic metrics for model performance aligned with business goals</li><li>
Experience with big data and scalable model training and solid written and spoken communication to effectively communicate technical concepts and results to both technical and business audiences.</li><li>
Scientific thinking with the ability to invent and to work both independently and in highly collaborative team environments</li><li>
Solid written and spoken communication to effectively communicate technical concepts and results to both technical and business audiences. Curious, hardworking and detail-oriented, and motivated by complex analytical problems</li></ul><p>
Preferred qualifications, capabilities , and skills:</p><ul><li>
Strong background in Mathematics and Statistics and familiarity with the financial services industries and continuous integration models and unit test development</li><li>
Knowledge in search/ranking, Reinforcement Learning or Meta Learning</li><li>
Experience with A/B experimentation and data/metric-driven product development, cloud-native deployment in a large scale distributed environment and ability to develop and debug production-quality code</li><li>
Published research in areas of Machine Learning, Deep Learning or Reinforcement Learning at a major conference or journal</li></ul>
<b>ABOUT US</b><br>
<div>
<div>JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world&rsquo;s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.
</div><p></p><div><p>We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
</p><div><p>We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants&rsquo; and employees&rsquo; religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.</p>
<p>JPMorgan Chase &amp; Co. is an Equal Opportunity Employer, including Disability/Veterans</p><br>
</div></div></div><br>
<br>
<b>ABOUT THE TEAM</b><br>
<br>
Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we&rsquo;re setting our businesses, clients, customers and employees up for success.</div>

Applied AI ML Director Machine Learning Center of Excellence

Mastercard

<div>
 <strong>
  Our Purpose
  <br/>
  <br/>
 </strong>
 <em>
  Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we&rsquo;re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential.
  <br/>
  <br/>
 </em>
 <strong>
  Title And Summary
  <br/>
  <br/>
 </strong>
 Director, Data Scientist
 <br/>
 <br/>
 Director, Data Science
 <br/>
 <br/>
 <strong>
  Overview
  <br/>
  <br/>
 </strong>
 We believe in the power of data to transform the way we do business. As part of our Finance Modernization initiative, we are reimagining how AI and Data Analytics, drive insight, efficiency, and strategic decision making.
 <br/>
 <br/>
 The Global Business Services Center (GBSC) Analytics &amp; Automation team is a hub of innovation. an idea incubator composed of strong contributors with leadership capabilities, business acumen, and technical expertise. The team identifies ways to leverage data and AI for answering business questions and driving operational efficiency. We innovate using AI and data analysis techniques to discover actionable insights and communicate data in new and more effective ways for influencing business decisions, encouraging, improving processes and productivity, and overall evolving the way we do business.
 <br/>
 <br/>
 As Director, Data Science, you will drive foundational AI strategy and execution for business operations. You will define roadmap, architect solutions, and lead cross-functional delivery to unlock and communicate measurable efficiency and innovation. You will work hands-on with data scientists, ML and platform engineers, and senior business leaders to deliver high-impact use cases.
 <br/>
 <br/>
 <strong>
  Your Role And Responsibilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Develop AI-driven strategies to support business value.
  </li>
  <li>
   Identify, qualify, and prioritize high-impact AI opportunities across business domains.
  </li>
  <li>
   Translate north star vision into executable plans, building alignment among relevant executives and business stakeholders on timing and delivery.
  </li>
  <li>
   Enable quick and iterative delivery of AI solutions with consistent value creation.
  </li>
  <li>
   Collaborate with cross-functional teams (Finance BAs, Privacy, AI Governance, Info Security, BizOps, etc.) to design development patterns fit for productionizing and scale.
  </li>
  <li>
   Monitor industry trends and emerging technologies to ensure the organization remains at the forefront of AI and automation advancements.
  </li>
  <li>
   Oversee the needs for documenting knowledge, creating templates, and authoring playbooks to help the team scale.
  </li>
  <li>
   Oversee the end-to-end implementation of data science and AI solutions&mdash;from concept and prototype through deployment, integration, and performance monitoring.
  </li>
  <li>
   Develop and maintain a value realization framework that quantifies the business impact of data science initiatives (e.g., cost optimization, working capital improvements, revenue enhancement, or process automation).
  </li>
  <li>
   Continuously evaluate and refine models and solutions to maximize financial and operational outcomes.
  </li>
  <li>
   Lead and manage the ML Ops team, ensuring scalable deployment, automation, and monitoring of machine learning models across environments.
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  All About You
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   10 to 12+ years hands-on leadership of technology strategies, leveraging data and AI to solve complex business problems and drive measurable impact in large, regulated environments.
  </li>
  <li>
   Proven track record influencing and aligning executives and cross-functional teams to deliver outcomes at scale.
  </li>
  <li>
   Strong communicator &ndash; executive presence, crisp storytelling, and the ability to translate complex technical concepts into actionable business strategy.
  </li>
  <li>
   Highly competent problem solving and solutioning skills; able to demonstrate business need as well as technical solution discovery and design.
  </li>
  <li>
   Proven experience in productionizing AI capabilities based on large datasets, and modern AI patterns (LLMs, RAG, vector databases, embeddings, prompt/response optimization, agents &amp; tools).
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 Good to Have
 <br/>
 <br/>
 <ul>
  <li>
   Experience in the financial institutions or payments industry.
  </li>
  <li>
   Knowledge of cloud computing (Databricks, AWS).
  </li>
  <li>
   Familiarity with agile methodologies
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Corporate Security Responsibility
  <br/>
  <br/>
 </strong>
 All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must:
 <br/>
 <br/>
 <ul>
  <li>
   Abide by Mastercard&rsquo;s security policies and practices;
  </li>
  <li>
   Ensure the confidentiality and integrity of the information being accessed;
  </li>
  <li>
   Report any suspected information security violation or breach, and
  </li>
  <li>
   Complete all periodic mandatory security trainings in accordance with Mastercard&rsquo;s guidelines.
  </li>
 </ul>
</div>


Director, Data Scientist

<div><p><b>Our Purpose</b></p><p></p><p><i>
Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we&rsquo;re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential.</i></p><p></p><p><b>
Title and Summary</b></p><p></p>
Director, Data Scientist<p></p>
Director, Data Science
<br>
Overview<br>
<br>
We believe in the power of data to transform the way we do business. As part of our Finance Modernization initiative, we are reimagining how AI and Data Analytics, drive insight, efficiency, and strategic decision making.<br>
The Global Business Services Center (GBSC) Analytics &amp; Automation team is a hub of innovation. an idea incubator composed of strong contributors with leadership capabilities, business acumen, and technical expertise. The team identifies ways to leverage data and AI for answering business questions and driving operational efficiency. We innovate using AI and data analysis techniques to discover actionable insights and communicate data in new and more effective ways for influencing business decisions, encouraging, improving processes and productivity, and overall evolving the way we do business.<br>
As Director, Data Science, you will drive foundational AI strategy and execution for business operations. You will define roadmap, architect solutions, and lead cross-functional delivery to unlock and communicate measurable efficiency and innovation. You will work hands-on with data scientists, ML and platform engineers, and senior business leaders to deliver high-impact use cases.<br>
<br>
Your Role and Responsibilities:<br>
<ul><li>Develop AI-driven strategies to support business value.</li><li>Identify, qualify, and prioritize high-impact AI opportunities across business domains.</li><li>Translate north star vision into executable plans, building alignment among relevant executives and business stakeholders on timing and delivery.</li><li>Enable quick and iterative delivery of AI solutions with consistent value creation.</li><li>Collaborate with cross-functional teams (Finance BAs, Privacy, AI Governance, Info Security, BizOps, etc.) to design development patterns fit for productionizing and scale.</li><li>Monitor industry trends and emerging technologies to ensure the organization remains at the forefront of AI and automation advancements.</li><li>Oversee the needs for documenting knowledge, creating templates, and authoring playbooks to help the team scale.</li><li>Oversee the end-to-end implementation of data science and AI solutions&mdash;from concept and prototype through deployment, integration, and performance monitoring.</li><li>Develop and maintain a value realization framework that quantifies the business impact of data science initiatives (e.g., cost optimization, working capital improvements, revenue enhancement, or process automation).</li><li>Continuously evaluate and refine models and solutions to maximize financial and operational outcomes.</li><li>Lead and manage the ML Ops team, ensuring scalable deployment, automation, and monitoring of machine learning models across environments.</li></ul><br>
All about you<br>
<br>
<ul><li>10 to 12+ years hands-on leadership of technology strategies, leveraging data and AI to solve complex business problems and drive measurable impact in large, regulated environments.</li><li>Proven track record influencing and aligning executives and cross-functional teams to deliver outcomes at scale.</li><li>Strong communicator &ndash; executive presence, crisp storytelling, and the ability to translate complex technical concepts into actionable business strategy.</li><li>Highly competent problem solving and solutioning skills; able to demonstrate business need as well as technical solution discovery and design.</li><li>Proven experience in productionizing AI capabilities based on large datasets, and modern AI patterns (LLMs, RAG, vector databases, embeddings, prompt/response optimization, agents &amp; tools).</li></ul><br>
Good to Have<br>
<br>
<ul><li>Experience in the financial institutions or payments industry.</li><li>Knowledge of cloud computing (Databricks, AWS).</li><li>Familiarity with agile methodologies</li></ul><p></p><p><b>
Corporate Security Responsibility</b></p><p><br>
All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must:</p><ul><li><p>
Abide by Mastercard&rsquo;s security policies and practices;</p></li><li><p>
Ensure the confidentiality and integrity of the information being accessed;</p></li><li><p>
Report any suspected information security violation or breach, and</p></li><li><p>
Complete all periodic mandatory security trainings in accordance with Mastercard&rsquo;s guidelines.</p></li></ul></div><p></p>

Gilbane

<div><h2 class="jobSectionHeader"><b>Overview
</b></h2><div><div><div><p>Gilbane is seeking a seasoned and forward-thinking<b> AI Director</b> with a strong foundation in IT, proven experience in data and AI, and a passion for turning innovation into enterprise impact. In this leadership role, you will guide a small team of AI Solutions Analysts and act as the key architect and delivery owner for AI solutions that connect advanced capabilities with real-world business value. This role will report to the Chief Growth and Strategy officer</p><p>
You will work closely with business leaders and functional teams to identify and prioritize high-value AI opportunities, ensuring that solutions are technically sound, scalable, and aligned with strategic priorities. Beyond model development, you will lead the integration of AI into existing systems, oversee end-to-end deployment, and establish the engineering standards, governance, and best practices needed to scale AI responsibly and efficiently across the enterprise.</p><p>
This position is ideal for someone who thrives at the intersection of technology, product, and leadership - a hands-on director and team builder who can bridge vision and execution. You will play a pivotal role in shaping the enterprise AI ecosystem, transforming ideas into robust, production-ready solutions that accelerate growth, efficiency, and competitive advantage.</p>
</div></div></div><h2 class="jobSectionHeader"><b>Responsibilities<br>
</b></h2>
<div></div><div><div><div><div><b>The AI Director (Team Lead) owns the design, delivery, and operationalization of enterprise AI solutions that drive measurable business outcomes. This role leads a small team of AI Solutions Analysts and partners with business leaders, IT, and data teams to translate priorities into scalable, secure, and maintainable AI products. The ideal candidate combines strong engineering discipline with product sensibilities, ensuring solutions align to strategy, integrate cleanly with existing systems, and are adopted by end users.</b></div><br>
<div></div><ul><li>
Lead, mentor, and develop a team of AI Solutions Analysts; set goals, review performance, and grow skills.</li><li>
Allocate work, remove blockers, and establish delivery rituals (stand‑ups, code reviews, demos, retros).</li><li>
Model engineering best practices, documentation standards, and a culture of reliability and accountability.</li><li>
Develop and lead Gilbane AI strategy in alignment with business goals and digital transformation initiatives.
</li><li>Design, develop and deploy high-impact AI solutions (GenAI and traditional ML) that enhance project delivery, safety, operational efficiency. Workforce enablement, client enablement and unlock new value.</li><li>
Own full lifecycle: discovery, prototyping, testing, hardening, deployment, and post‑launch iteration</li><li>
Ensure integration with existing systems and workflows.</li><li>
Document technical designs, processes, and outcomes for knowledge sharing and scalability and provide training, and support to drive AI adoption across teams.</li><li>
Evaluate and recommend AI tools, platforms, and technologies (buy vs build).</li><li>
Monitor performance to ensure high-quality, scalable solutions.</li><li>
Stay updated on emerging AI trends and technologies, risks and opportunities. to ensure the organization remains competitive.</li><li>
Partner with business owners to frame problems, define success metrics, and prioritize a clear backlog. Collaborate with the IT team and other support functions.</li><li>
Translate business requirements into engineering tasks and acceptance criteria; communicate status and risks proactively.</li><li>
Prepare and deliver executive‑ready updates and demonstrations.</li><li>
Work with IT and data teams to source, prepare, and govern high‑quality data.
</li><li>Design feature pipelines and governance strategies.</li><li>
Embed Responsible AI controls (privacy, security, bias testing, explainability) into each lifecycle stage and ensure AI solutions adhere to ethical guidelines, data privacy regulations, and Responsible AI principles. Address potential biases in AI models and ensure transparency.</li><li>
Produce and maintain model/solution documentation (model cards, data lineage, evaluation results, user guidance).</li><li>
Manage relationships with external AI vendor, consultants, and technology providers.
</li><li>Coordinate with Legal/Compliance on data use and third‑party tools.</li><li>
Create user training, quick‑start guides; measure adoption and satisfaction.</li><li>
Gather feedback, prioritize enhancements, and drive continuous improvement.</li><li>
Define and track KPIs (e.g., cycle‑time reduction, accuracy/quality uplift, cost‑to‑serve, user adoption) to measure success of AI solutions (ROI).</li><li>
Report outcomes and lessons learned; Continuously monitor and optimize AI models and systems and capture reusable components (prompts, evaluators, connectors) in a shared library.</li></ul>
</div></div></div><h2 class="jobSectionHeader"><b>Qualifications
</b></h2><div><div><div><p><b>QUALIFICATIONS &amp; EXPERIENCE:
</b></p><ul><li>8+ years of experience in AI or related field.
</li><li>Expertise in AI / ML, deep learning, NLP, predictive analytics and modern AI architectures.</li><li>
Experience managing and collaborating with external AI vendors, consultants and integrators.
</li><li>Proficiency in programming languages.
</li><li>Experience with cloud platforms
</li><li>Expertise in designing scalable and secure AI architectures.
</li><li>Knowledge of microservices, APIs, and system integration.</li><li>
Strong understanding of data engineering, data pipelines, and data governance.</li><li>
Familiarity with big data technologies.</li><li>
Excellent communication and collaboration skills to work with cross-functional teams.
</li><li>Strong problem-solving and analytical skills to translate business needs into AI opportunities that drive efficiencies and speeds.</li><li>
Strong leadership skills and demonstrated ability in leading small team.</li><li>
Proven experience in enterprise-scale AI/ML solution building and deployment.</li><li>
Background in software engineering, data science, or related fields.</li></ul><p></p><div><b><br>
Preferred Qualifications</b></div><ul><li>
Certifications in AI/ML or cloud platforms (e.g., Azure AI Engineer, AWS Certified Machine Learning).
</li><li>Experience with Responsible AI frameworks and ethical AI practices.
</li><li>Experience in a build environment and familiarity with industry data sources and workflows, including BIM, digital twins, IoT, scheduling, estimating, safety systems, and projects control are a plus.</li></ul><p></p><p><br>
Salary to be determined based on factors such as geographic location, skills, education, and/or experience of the applicant, as well as the internal equity and alignment with the team.</p><p>
For Rhode Island this ranges from $225,000-$290,000 plus benefits and retirement program.</p><p></p><p><i><br>
Gilbane offers an excellent total compensation package which includes competitive health and welfare benefits and a generous profit-sharing/401k plan. We invest in our employees&rsquo; education and have built Gilbane University into a top training organization in the construction industry. Qualified applicants who are offered a position must pass a pre-employment substance abuse test.</i></p><p></p><p><i><br>
Gilbane is an Affirmative Action/Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to age, color, national origin, race, religion, sex, sexual orientation, gender identity, protected veteran status, or disability status.</i></p><p></p><p><b><i><br>
Note to Recruiters, Placement Agencies, and Similar Organizations</i></b><i>: Gilbane does not accept unsolicited resumes from agencies. Please do not forward unsolicited agency resumes to our jobs alias, website, or to any Gilbane employee. Gilbane will not pay fees to any third party agency or firm and will not be responsible for any agency fees associated with unsolicited resumes. Unsolicited resumes received will be considered property of Gilbane and will be processed accordingly.</i></p></div></div></div></div>

AI Director

Wipro

<div>Job Description<p></p><div><div><ul><li><div><b><br>
</b><br>
</div></li></ul></div></div><div><div><div><div>Job Title: Director - AI/ML Solutions &amp; Architecture
</div></div></div></div><div><div><div><div>Req Id: 102402
</div></div></div></div><div><div><div><div>City: Bengaluru
</div></div></div></div><div><div><div><div>State/Province: Karnataka
</div></div></div></div><div><div><div><div>Posting Start Date: 10/16/25
</div></div></div></div><div><div><div><div><p>Wipro Limited (NYSE: WIT, BSE: 507685, NSE: WIPRO) is a leading technology services and consulting company focused on building innovative solutions that address clients&rsquo; most complex digital transformation needs. Leveraging our holistic portfolio of capabilities in consulting, design, engineering, and operations, we help clients realize their boldest ambitions and build future-ready, sustainable businesses. With over 230,000 employees and business partners across 65 countries, we deliver on the promise of helping our customers, colleagues, and communities thrive in an ever-changing world. For additional information, visit us at www.wipro.com.
</p></div></div></div></div><div><div><div><div>Job Description:
<div><div><div><h2 class="jobSectionHeader"><b>Role Overview:
</b></h2></div><div><p>The Director of AI/ML Solutions &amp; Architecture will provide strategic and technical leadership to shape, build, and scale enterprise AI capabilities. This role requires a visionary leader who can bridge business objectives with advanced AI/ML technologies, guide architecture decisions, and drive innovation across multiple programs and teams. The Director will play a key role in defining the AI roadmap, nurturing talent, and ensuring delivery excellence across AI initiatives.
</p></div></div><div><div><h2 class="jobSectionHeader"><b>Key Responsibilities:&#847;
</b></h2></div><div><p>Strategic Leadership
</p><ul><li>Define and drive the AI/ML strategy aligned with organizational goals and business outcomes.
</li></ul><ul><li>Evangelize the adoption of Generative AI, LLMs, Deep Learning, and emerging AI technologies across business units.
</li></ul><ul><li>Partner with executive leadership, product teams, and customers to identify high-impact AI opportunities.
</li></ul><ul><li>Build and lead a multi-disciplinary AI team spanning architecture, data science, MLOps, and engineering.
</li></ul><p>Architectural &amp; Technical Excellence
</p><ul><li>Oversee design and implementation of scalable AI systems leveraging LLMs/SLMs, RAG, Graph RAG, and vector databases. (AI Software Engineering)
</li></ul><ul><li>Set architecture standards, governance frameworks, and best practices for AI model deployment and lifecycle management.
</li></ul><ul><li>Guide the development of cloud-native, distributed AI solutions on platforms such as AWS, Azure, or GCP.
</li></ul><ul><li>Ensure solutions are secure, cost-effective, and production-ready with strong observability and performance benchmarks.
</li></ul><p>Operational Excellence &amp; Delivery
</p><ul><li>Lead the end-to-end delivery of complex AI/ML initiatives &mdash; from ideation to deployment and continuous optimization.
</li></ul><ul><li>Collaborate with product, engineering, and data teams to translate AI research into practical, scalable solutions.
</li></ul><ul><li>Establish metrics and success criteria for AI project outcomes, driving measurable value for clients and business units.
</li></ul><ul><li>Oversee code quality, documentation, and compliance across all AI/ML projects.
</li></ul><p>People Leadership
</p><ul><li>Mentor and upskill AI architects, data scientists, and engineers to build deep expertise across teams.
</li></ul><ul><li>Foster a culture of innovation, experimentation, and continuous learning.
</li></ul><ul><li>Represent the AI/ML practice in executive forums, industry events, and strategic customer engagements.
</li></ul></div></div><div><div><h2 class="jobSectionHeader"><b>Qualifications &amp; Experience:&#847;<br>
</b></h2></div><p></p><div><ul><li>12+ years in AI/ML, Data Science, or Applied Research, with at least 4&ndash;5 years in leadership or architecture roles.
</li></ul><ul><li>Proven experience leading enterprise-scale AI initiatives involving Generative AI, LLMs, or Deep Learning systems.
</li></ul><ul><li>Strong expertise in Python, TensorFlow, PyTorch, and MLOps pipelines; familiarity with LangChain and vector databases is a plus.
</li></ul><ul><li>Hands-on understanding of data engineering, cloud platforms, and distributed systems.
</li></ul><ul><li>Demonstrated ability to translate business needs into scalable AI architectures and tangible outcomes.
</li></ul><ul><li>Excellent communication, stakeholder management, and team leadership skills.
</li></ul></div></div><div><div><h2 class="jobSectionHeader"><b>&#847;
</b></h2></div></div><div></div><div><div><h2 class="jobSectionHeader"><b>&#847;
</b></h2></div></div></div></div></div></div></div><div></div><div><div><div><div><p>Reinvent your world. We are building a modern Wipro. We are an end-to-end digital transformation partner with the boldest ambitions. To realize them, we need people inspired by reinvention. Of yourself, your career, and your skills. We want to see the constant evolution of our business and our industry. It has always been in our DNA - as the world around us changes, so do we. Join a business powered by purpose and a place that empowers you to design your own reinvention. Come to Wipro. Realize your ambitions.
</p><p>Applications from people with disabilities are explicitly welcome.</p></div></div></div></div></div><p></p>

Director - AI/ML Solutions & Architecture

BCC Geospatial Center of the CUNY CREST Institute

<p>IMMEDIATE HIRE STARTING JANUARY, 2026</p><p><b>Job Summary</b></p><p><b>Research Assistant - Data Science / Machine Learning, AI [Bronx Community College Geospatial Center of the CUNY CREST Institute [BGCCCI]</b></p><p>The job requires working independently on various analytical tasks [Machine Learning, Deep Learning, and Multi-modal approaches by using Ensemble Learning methods] and submitting deliverables in a timely manner to assigned cloud storage. The task involves heavy detail oriented daily documentation/technical writing. The role also includes administrative and other tasks [administrative] that may be assigned by the Director. <b>Candidates who don't have the patience or interest in documentation need not apply. Must have valid U.S. work visa to be eligible to apply. </b></p><p><b>Summary of College Assistant / Research Assistant Role</b></p><ul><li>High level of skills in project task interpretation and skill sets</li><li>Work independently and proactively</li><li>Deliver results on time</li><li>Be able to write detailed and accurate documentation that can be read by both technical and non-technical readers.</li><li>Possess a high level of passion for research, and possess qualities such as honesty, integrity and diligence.</li></ul><p><b>Submit your recent CV and cover letter by going on the College website and following the steps</b></p><ul><li>Open the URL --&gt; https://cuny.jobs/jobs/</li><li>Filter by Campus: 'Bronx Community College'</li><li>Scroll down to 'College Assistant-Various Departments'</li><li>CLICK on 'Apply' and follow prompts to submit your CV and Cover Letter</li><li>Email director after you have submitted the application.</li></ul><p><b>Sunil Bhaskaran</b></p><p><b>Email: </b></p><p>Job Types: Part-time, Temporary</p><p>Pay: $17.00 - $18.00 per hour</p><p>Ability to Commute:</p><ul><li>Bronx, NY 10453 (Required)</li></ul><p>Ability to Relocate:</p><ul><li>Bronx, NY 10453: Relocate before starting work (Preferred)</li></ul><p>Work Location: In person</p>

College Assistant (Coordinator of BCC Geospatial Center of the CUNY CREST Institute

<div><b>JOB DESCRIPTION</b><p><br>
Are you ready to shape the future of work for over 320,000 employees? This is a rare opportunity to lead applied AI and GenAI innovation at scale, delivering high-impact solutions that will define the next era of HR analytics, talent strategy, and employee experience. Join a high-performing team and set the standard for communications, governance, and stakeholder engagement, while driving measurable business impact across the firm.</p><p>
As an Applied AI/ML Director &ndash; HR Analytics in the HR leadership team, you will lead a team of approximately 10 Applied AI Practitioners to deliver scalable, business-impactful AI solutions. You will drive cross-pillar influence, ensure robust governance, and set the standard for communications and stakeholder engagement. This full-time, in-office position is responsible for leading all US-based AI/ML and Data Science work for HR firmwide, integrating solutions with cloud-native infrastructure and championing innovation.</p><p><b>
Job responsibilities</b></p><ul>
<li>Translate complex technical concepts into actionable business insights for senior HR, Tech, and Product stakeholders</li>
<li>Influence, engage, and drive alignment across functions</li>
<li>Architect, build, and deploy ML/GenAI models (NLP, LLMs, RAG, agentic workflows) for HR analytics use cases</li>
<li>Lead, mentor, and develop a diverse team of Applied AI Practitioners, fostering collaboration, upskilling, and internal mobility</li>
<li>Integrate solutions with HR data lake and cloud-native infrastructure (AWS, Databricks)</li>
<li>Champion reusable ML assets, feature stores, and standardized pipelines</li>
<li>Ensure understanding and adherence to controls and governance processes for model development and deployment</li>
<li>Surface risks, drive closed-loop feedback, and optimize for scale, reliability, and performance</li>
<li>Navigate cross-pillar dynamics and surface ROI/reputational impact</li></ul><p><b>
Required qualifications, capabilities, and skills</b></p><ul>
<li>BS/B.Tech/MS/PhD in AI/ML or a relevant field, with advanced degrees such as MS or PhD highly valued.</li>
<li>10+ years hands-on experience in ML/GenAI model development and deployment</li>
<li>Strong in AI/ML fundamentals, Statistics, and knowledge of classical AI and Algorithms</li>
<li>Strong problem-solving ability</li>
<li>Proven leadership of technical teams in applied AI/ML</li>
<li>Exceptional communication skills; able to influence and engage senior stakeholders</li>
<li>Deep expertise in Python, TensorFlow, PyTorch, and cloud-native infrastructure (AWS, Databricks)</li>
<li>Experience with NLP, LLMs, agentic workflows, and scalable ML architectures</li></ul><p><b>
Preferred qualifications, capabilities, and skills</b></p><ul>
<li>Experience in financial services, Human Resources, or regulated industries</li>
<li>Familiarity with agentic workflows, LLMs, GenAI, and cloud platforms</li>
<li>Proven ability to scale AI/ML solutions across complex, multi-stakeholder environments</li></ul>
<b>ABOUT US</b><br>
<div>
<div>JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world&rsquo;s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.
</div><p></p><div><p>We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
</p><div><p>We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants&rsquo; and employees&rsquo; religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.</p>
<p>JPMorgan Chase &amp; Co. is an Equal Opportunity Employer, including Disability/Veterans</p><br>
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<b>ABOUT THE TEAM</b><br>
<br>
Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we&rsquo;re setting our businesses, clients, customers and employees up for success.</div>

Applied AI/ML Director–HR Analytics

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