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data engineer ai ml

Capgemini

<div><div><div><p>New York, NY</p><div>
Data Engineer (AI/ML)</div><p>
</p></div></div><div></div><div><div><div><div><div><p>
Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you&rsquo;d like, where you&rsquo;ll be supported and inspired by a collaborative community of colleagues around the world, and where you&rsquo;ll be able to reimagine what&rsquo;s possible. Join us and help the world&rsquo;s leading organizations unlock the value of technology and build a more sustainable, more inclusive world.</p><div><div><div><div><b>
Job Location: NY</b></div></div><div>
Works in the area of Software Engineering, which encompasses the development, maintenance and optimization of software solutions/applications.1. Applies scientific methods to analyse and solve software engineering problems.2. He/she is responsible for the development and application of software engineering practice and knowledge, in research, design, development and maintenance.3. His/her work requires the exercise of original thought and judgement and the ability to supervise the technical and administrative work of other software engineers.4. The software engineer builds skills and expertise of his/her software engineering discipline to reach standard software engineer skills expectations for the applicable role, as defined in Professional Communities.5. The software engineer collaborates and acts as team player with other software engineers and stakeholders.</div></div><div><div><div><b>
Required Skills</b></div></div><div><p>
6+ years of hands-on experience in data engineering and analytics roles.<br>
Strong proficiency in SQL and experience with relational databases (MySQL, DB2, etc)<br>
Experience in Software development in Object oriented programming languages like python, Java etc.<br>
Solid understanding of data modeling, architecture, and governance principles.<br>
Hands-on experience with reporting tools such as Power BI, Tableau, or similar.<br>
2+ years of experience or exposure to Machine Learning concepts, including model development, large language model (LLM) implementation, and statistical analysis for predictive and analytical solutions.<br>
Bachelor's degree in Computer Science, Data Engineering or a related field.<br>
Excellent communication and collaboration skills.</p></div></div><div><div><div><b>
Preferred Skills</b></div></div><div><p>
Al/ML experience is plus<br>
Exposure to Cloud Databases like Snowflake etc.<br>
Experience in financial services and wealth management domains.<br>
Experience with cloud platforms (e.g., AWS, Azure, GCP).</p></div></div><div><div><div><b>
Life at Capgemini</b></div></div><div><p>
Capgemini supports all aspects of your well-being throughout the changing stages of your life and career. For eligible employees, we offer:
<br>
Flexible work
<br>
Healthcare including dental, vision, mental health, and well-being programs<br>
Financial well-being programs such as 401(k) and Employee Share Ownership Plan<br>
Paid time off and paid holidays
<br>
Paid parental leave<br>
Family building benefits like adoption assistance, surrogacy, and cryopreservation<br>
Social well-being benefits like subsidized back-up child/elder care and tutoring<br>
Mentoring, coaching and learning programs<br>
Employee Resource Groups nd Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodations do not pose an undue hardship.<br>
Capgemini is committed to providing reasonable accommodations du<br>
Disaster Relief</p></div></div></div><p>
The base compensation range for this role in the posted location is:$80420 to $106050</p><p>
Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law.</p><p>
The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction.</p><p>
These may include, but are not limited to: Geographic location, Education and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity.</p><p>
It is not typical for candidates to be hired at or near the top of the posted compensation range.</p><p>
In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws.</p><p>
</p><p><b>Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees.</b> In the U.S. and Canada, available benefits are determined by local policy and eligibility and may include:
</p><ul><li>Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave</li></ul><ul><li>
Medical, dental, and vision coverage (or provincial healthcare coordination in Canada)</li><li>
Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)</li><li>
Life and disability insurance</li><li>
Employee assistance programs</li><li>
Other benefits as provided by local policy and eligibility</li></ul><p><b>
Important Notice:</b> Compensation (including bonuses, commissions, or other forms of incentive pay) is not considered earned, vested, or payable until it becomes due under the terms of applicable plans or agreements and is subject to Capgemini&rsquo;s discretion, consistent with applicable laws. The Company reserves the right to amend or withdraw compensation programs at any time, within the limits of applicable legislation.</p><p>
</p><p><b>Disclaimers</b></p><p>
Capgemini is an Equal Opportunity Employer encouraging inclusion in the workplace. Capgemini also participates in the Partnership Accreditation in Indigenous Relations (PAIR) program which supports meaningful engagement with Indigenous communities across Canada by promoting fairness, accessibility, inclusion and respect. We value the rich cultural heritage and contributions of Indigenous Peoples and actively work to create a welcoming and respectful environment. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.</p><p>
This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodation does not pose an undue hardship. Capgemini is committed to providing reasonable accommodation during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact.</p><p>
Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process.</p><p></p><p><br>
</p><p>Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.</p><p>
</p></div></div><div><div><div><div><div>Ref. code</div><div>
393076-en_US</div></div><div><div>
Posted on</div><div>
18 Jan 2026</div></div><div><div>
Experience level</div><div>
Experienced Professionals</div></div><div><div>
Contract type</div><div>
Permanent</div></div><div><div>
Location</div><div>
New York, NY</div></div><div><div>
Business unit</div><div>
FS</div></div><div><div>
Brand</div><div>
Capgemini</div></div><div><div>
Professional communities</div><div>
Data &amp; AI</div></div></div></div></div></div></div></div></div><p></p>

Data Engineer (AI/ML)

Eagle

<div><p><b>About Eagle</b></p><ul><li><p>
Eagle is an AI native platform on a mission to <b>unleash engineering services for the built environment.</b></p></li><li><p><b>
We acquire and scale world-class civil engineering firms </b>by putting proprietary technology into the hands of the engineers who design our nation&rsquo;s critical infrastructure (think water systems, power utilities, bridges, and more).</p></li><li><p>
Our ambition is to <b>create the first AI-native engineering design firm</b> to meet the country's generational energy, climate, and infrastructure needs.</p></li><li><p><b>
We're backed by Lightspeed Venture Partners</b>, a global venture capital firm<i>.</i></p></li><li><p>
https://www.eagleeng.com/</p></li></ul><p></p><p><i>
Eagle was founded by </i><i>Mayank</i><i> (Penn, ex-Bloomberg, ex-Ethic) and </i><i>Sohum</i><i> (Penn M&amp;T, ex-Long Ridge)</i></p><p></p><p><b><br>
The Role</b></p><ul><li><p>
Eagle is seeking an <b>Applied AI Engineer</b> to build systems that automate the most time-consuming parts of civil engineering. Our goal is unleash civil engineers to focus on design, not documentation.</p></li><li><p>
You'll work alongside civil engineers daily, translating real-world infrastructure challenges into production AI solutions for water, transportation, and utility projects.</p></li></ul><p></p><p><b>
What You'll Do</b></p><ul><li><p>
Collaborate directly with civil engineers to understand domain-specific workflows and translate them into AI-powered tools</p></li><li><p>
Build AI systems that automate drafting, calculations, and documentation &mdash; freeing engineers to focus on higher-value design work</p></li><li><p>
Develop spatial reasoning models that can interpret blueprints and generate preliminary designs for standard infrastructure projects</p></li><li><p>
Create agents that synthesize regulatory standards, run modeling simulations, and automate repetitive engineering tasks</p></li><li><p>
Integrate LLMs and multimodal models into production workflows that serve real engineering teams</p></li><li><p>
Own the full lifecycle &mdash; from prototyping and experimentation to deployment and iteration</p></li></ul><p></p><p><b>
What You'll Bring</b></p><ul><li><p>
5+ years of experience in software engineering, with 2+ years focused on applied AI/ML</p></li><li><p>
Hands-on experience building and deploying LLM-based applications in production</p></li><li><p>
Strong Python skills and familiarity with ML frameworks (PyTorch, HuggingFace, etc.)</p></li><li><p>
Experience with RAG architectures, prompt engineering, and/or fine-tuning</p></li><li><p>
Comfort with ambiguity&mdash;you can take a fuzzy problem and figure out what to build</p></li><li><p><b>
Bonus</b>: Experience with computer vision, CAD file formats, or spatial data</p></li><li><p><b>
Bonus</b>: Background in engineering, AEC, or other technical domains</p></li></ul><p>
Compensation Range: $175K - $250K</p></div>

Applied AI Engineer

Lyft

<div>
 At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive.
 <br/>
 <br/>
 Our engineering team is growing rapidly, and we are looking for a Machine Learning Engineer. As a machine learning engineer, you will be developing and launching the algorithms that power the platform&rsquo;s core services. Compared to similarly-sized technology companies, the set of problems that we tackle is incredibly diverse. They cut across transportation, economics, forecasting, mapping, personalization, and adaptive control. We are hiring motivated experts in each of these fields. We&rsquo;re looking for someone who is passionate about solving problems with data, building reliable ML systems, and is excited about working in a fast-paced, innovative, and collegial environment.
 <br/>
 <br/>
 An ML SWE in the Integrity team is a specialized role focusing on the application of machine learning to enhance fraud detection and prevention. This role operates at a leadership and system ownership level comparable to a general SWE but with a deep specialization in ML. The individual will contribute significantly to the team's engineering excellence and operational responsibilities.
 <br/>
 <br/>
 This role is a highly specialized engineering position that leverages deep machine learning expertise to directly impact the Integrity team's core mission: reducing fraud, ensuring trust and safety on the Lyft platform, and contributing to the development of cutting-edge AI-driven fraud-fighting platforms.
 <br/>
 <br/>
 <strong>
  Responsibilities:
 </strong>
 <br/>
 <br/>
 <ul>
  <li>
   Core Responsibilities:
  </li>
  <ul>
   <li>
    Develop &amp; Lead ML Project Initiatives for Integrity, Identity and Pay: Partner with Engineers, Data Scientists, Product Managers, and Business Partners across the organization to apply machine learning for business and user impact, specifically in areas such as (supervised) fraud risk scoring, (unsupervised) anomaly detection and other applications. Drive the end-to-end lifecycle of ML projects within the Integrity domain.
   </li>
   <li>
    Drive ML Engineering Excellence: Write production-quality code to deploy and scale machine learning models. Lead investments in architecture, observability, performance, platforms, shared libraries, and tools that support robust and efficient ML operations within the Integrity team.
   </li>
   <li>
    Collaborate Cross-functionally on ML Solutions: Drive effective collaboration with cross-functional partners, including other engineering teams (e.g., Driver, Mapping, Security, Mobile Infra for signal integration), data scientists, product managers, and business partners, to define and implement comprehensive ML solutions for integrity challenges.
   </li>
   <li>
    Mentor Junior Engineers in ML: Provide technical guidance and mentorship to junior engineers, support their onboarding processes, and actively participate in hiring efforts, particularly for candidates interested in machine learning and fraud prevention.
    <br/>
   </li>
  </ul>
 </ul>
 <strong>
  Experience:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   B.S., M.S., or Ph.D. in Computer Science or other quantitative fields or related work experience
  </li>
  <li>
   3+ years of Machine Learning experience
  </li>
  <li>
   Passion for building impactful machine learning models leveraging expertise in one or multiple fields.
  </li>
  <li>
   Proficiency in Python, Golang, or other programming language
  </li>
  <li>
   Excellent communication skills and fluency in English
  </li>
  <li>
   Strong understanding of Machine Learning methodologies, including supervised learning, forecasting, recommendation systems, reinforcement learning, and multi-armed bandits
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Benefits:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Great medical, dental, and vision insurance options with additional programs available when enrolled
  </li>
  <li>
   Mental health benefits
  </li>
  <li>
   Family building benefits
  </li>
  <li>
   Child care and pet benefits
  </li>
  <li>
   401(k) plan to help save for your future
  </li>
  <li>
   In addition to 12 observed holidays, salaried team members have discretionary paid time off, hourly team members have 15 days paid time off
  </li>
  <li>
   18 weeks of paid parental leave. Biological, adoptive, and foster parents are all eligible
  </li>
  <li>
   Subsidized commuter benefits
  </li>
  <li>
   Lyft Pink - Lyft team members get an exclusive opportunity to test new benefits of our Ridership Program
   <br/>
   <br/>
  </li>
 </ul>
 Lyft is an equal opportunity employer committed to an inclusive workplace that fosters belonging. All qualified applicants will receive consideration for employment without regards to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, age, genetic information, or any other basis prohibited by law. We also consider qualified applicants with criminal histories consistent with applicable federal, state and local law.
 <br/>
 <br/>
 Lyft highly values having employees working in-office to foster a collaborative work environment and company culture. This role will be in-office on a hybrid schedule &mdash; Team Members will be expected to work in the office 3 days per week on Mondays, Wednesdays, and Thursdays. Lyft considers working in the office at least 3 days per week to be an essential function of this hybrid role. Your recruiter can share more information about the various in-office perks Lyft offers. Additionally, hybrid roles have the flexibility to work from anywhere for up to 4 weeks per year. #Hybrid
 <br/>
 <br/>
 The expected base pay range for this position in the New York City area is $140,800 - $176,000. Salary ranges are dependent on a variety of factors, including qualifications, experience and geographic location. Range is not inclusive of potential equity offering, bonus or benefits. Your recruiter can share more information about the salary range specific to your working location and other factors during the hiring process.
</div>


ML Software Engineer, Integrity

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>
As an AI Research Scientist - Senior Associate on the AI Research team, you will conduct end-to-end research typically within a specialized focus area and collaborate on multiple research projects with internal and external researchers and applied engineering teams. Your output will result in high-impact business applications, open-source software, patents and/or publications in AI/ML conferences and journals. The goal of J.P. Morgan AI Research is to explore and advance cutting-edge research in AI, including ML as well as related fields like Cryptography, impacting clients and businesses, with a team of experts located in New York, London, Madrid, Paris, and the Bay Area. Conducting AI research in financial services offers unique and exciting opportunities for impact to both J.P. Morgan and the broader AI community.</p><p>
</p><p><b>Job responsibilities</b></p><ul>
<li>Conduct end-to-end research typically within Agents, Reasoning (including AI heuristic search, planning, scheduling, constraint reasoning), Knowledge representation and Learning</li>
<li>Collaborate with internal and external researchers and with applied engineering teams</li>
<li>Engage in all aspects of the research lifecycle such as formulating problems, gathering data, generating hypotheses, developing models and algorithms, conducting experiments, synthesizing results, building prototype applications and communicating the significance of your research</li>
<li>Produce outputs that lead to high-impact business applications, open source software, patents and/or publications in top AI/ML conferences and journals</li>
<li>Participate in relevant top-tier academic conferences to broaden the impact of your contributions</li></ul><p>
</p><p><b>Required qualifications, capabilities, and skills</b></p><ul>
<li>PhD in Computer Science or related field or a MS in Computer Science or related field with at least 3 years of experience in the field</li>
<li>Research publications in prominent AI venues; e.g., conferences, journals</li>
<li>Expertise in one or more specialized areas of relevance e.g., heuristic search, planning, agent-based architectures, hybrid systems, knowledge representation, &hellip;</li>
<li>Strong expertise in synthetic data, generative AI, differential privacy, uncertainty quantification, LLM alignment and behavior modeling using RL, bandit techniques, watermarking. time-series, reasoning and foundational models</li>
<li>Proficiency with rapid prototyping and disciplined software development processes</li>
<li>Expertise in software engineering within collaborative project settings</li></ul><p>
</p><p><b>Preferred qualifications, capabilities, and skills</b></p><ul>
<li>Extensive programming skills in Python (required), Java or C++ (optional)</li>
<li>Interest in problems related to the financial services domain (specific past experience in the domain is not required)</li></ul><p>
</p><p></p><b>ABOUT US</b><br>
<div>
<div>JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world&rsquo;s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.
</div><p></p><div><p>We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
</p><div><p>We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants&rsquo; and employees&rsquo; religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.</p>
<p>JPMorgan Chase &amp; Co. is an Equal Opportunity Employer, including Disability/Veterans</p><br>
</div></div></div><br>
<br>
<b>ABOUT THE TEAM</b><br>
<br>
Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we&rsquo;re setting our businesses, clients, customers and employees up for success.</div>

AI Research Scientist-Sr. Associate

MyRemoteTeam Inc

<div>
 <p>
  <strong>
   Are you the marketing guru who can decode customer journeys &mdash; and explain them to an AI without breaking a sweat?
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Preferred Background (High Priority)
  </strong>
 </p>
 <p>
  Candidates who have worked with major marketing agencies or consulting groups, including:
 </p>
 <p>
  <strong>
   Omnicom Group &bull; IPG &bull; Accenture Interactive &bull; Publicis Sapient &bull; VML &bull; Dentsu &bull; Havas &bull; Acxiom &bull; Wieden+Kennedy &bull; BBDO also if you have worked in good marketing companies in US
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  If you&rsquo;ve lived through
  <strong>
   campaign launches, A/B tests, brand wars, and dashboard deep dives
  </strong>
  , and you&rsquo;re excited about shaping how AI understands marketing &mdash; this role is for you.
 </p>
 <p>
  We&rsquo;re looking for a
  <strong>
   Marketing Subject Matter Expert (SME)
  </strong>
  who can bridge the
  <strong>
   real world of marketing strategy
  </strong>
  with the
  <strong>
   fast-evolving world of AI systems
  </strong>
  . Your expertise will help
  <strong>
   train, evaluate, and elevate AI models
  </strong>
  that support marketers globally.
 </p>
 <p>
  <br/>
 </p>
 <p>
  🔍 About the Role
 </p>
 <p>
  As a
  <strong>
   Sector Evaluator &ndash; Marketing
  </strong>
  , you&rsquo;ll translate real-world marketing workflows into
  <strong>
   AI training data
  </strong>
  , evaluate
  <strong>
   AI-generated outputs
  </strong>
  , and collaborate closely with
  <strong>
   product and engineering teams
  </strong>
  to refine next-generation marketing systems.
 </p>
 <p>
  You&rsquo;ll help build smarter:
 </p>
 <ul>
  <li>
   Campaign optimizers
  </li>
  <li>
   Personalization engines
  </li>
  <li>
   Predictive analytics tools
  </li>
  <li>
   AI-powered marketing assistants
  </li>
 </ul>
 <p>
  This is
  <strong>
   not a traditional marketing role
  </strong>
  &mdash; it&rsquo;s a
  <strong>
   hands-on AI evaluation role grounded in real marketing expertise
  </strong>
  .
 </p>
 <p>
  <br/>
 </p>
 <p>
  🧠 What You&rsquo;ll Work On
 </p>
 <ul>
  <li>
   Train and
   <strong>
    annotate AI models
   </strong>
   using real marketing knowledge, terminology, and logic
  </li>
  <li>
   Design
   <strong>
    challenging prompts
   </strong>
   to test LLM understanding across marketing scenarios
  </li>
  <li>
   Review, score, and critique AI-generated content for
   <strong>
    accuracy, reasoning, tone, and brand alignment
   </strong>
  </li>
  <li>
   Build
   <strong>
    evaluation rubrics and &ldquo;golden responses&rdquo;
   </strong>
   to benchmark AI quality
  </li>
  <li>
   Translate campaign lifecycles into
   <strong>
    structured workflows, taxonomies, and scenarios
   </strong>
  </li>
  <li>
   Evaluate campaign briefs, customer segments, KPIs, and performance narratives
  </li>
  <li>
   Partner with
   <strong>
    ML, product, and engineering teams
   </strong>
   to improve AI capabilities and marketing use cases
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  🧠 AI &amp; LLM Capabilities (Must-Have)
 </p>
 <ul>
  <li>
   Hands-on experience with
   <strong>
    LLMs
   </strong>
   (e.g., GPT, Claude, Gemini or similar)
  </li>
  <li>
   <strong>
    Prompt engineering
   </strong>
   experience beyond basic usage (testing, iteration, edge cases)
  </li>
  <li>
   Experience creating
   <strong>
    rubrics, scoring frameworks, or golden responses
   </strong>
  </li>
  <li>
   Exposure to
   <strong>
    data annotation / labeling / QA workflows
   </strong>
   for AI systems
  </li>
  <li>
   Ability to clearly explain
   <strong>
    why
   </strong>
   an AI output succeeds or fails
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  What We&rsquo;re Looking For
 </p>
 <ul>
  <li>
   Bachelor&rsquo;s or Master&rsquo;s in
   <strong>
    Marketing, Business, Communications
   </strong>
   , or related field
  </li>
  <li>
   <strong>
    7&ndash;12 years of hands-on marketing experience
   </strong>
   across:
  </li>
  <li>
   Digital &amp; social campaigns
  </li>
  <li>
   Performance marketing &amp; A/B testing
  </li>
  <li>
   CRM &amp; marketing automation (HubSpot, Marketo, SFMC)
  </li>
  <li>
   Analytics &amp; measurement (Google Analytics, Looker, Power BI)
  </li>
  <li>
   Content strategy, segmentation, and journey mapping
  </li>
  <li>
   Strong documentation skills with the ability to convert real workflows into
   <strong>
    structured processes
   </strong>
  </li>
  <li>
   Experience collaborating with
   <strong>
    cross-functional technical teams
   </strong>
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  📩 Ready to Apply?
 </p>
 <p>
  If you&rsquo;re a
  <strong>
   marketing leader with a passion for AI and innovation
  </strong>
  , we&rsquo;d love to work with you as an Independant consultant.
 </p>
 <p>
  <br/>
 </p>
 <p>
  👉
  <strong>
   Apply now
  </strong>
  and help redefine the marketing tools of tomorrow.
 </p>
 <p>
  You can also connect directly by email at
  <strong>
   sagar.gupta@truelancer.com
  </strong>
  with your
  <strong>
   resume, hourly rate, and we
  </strong>
 </p>
</div>


Marketing Director

<div><div><div><p>New York, NY</p><div>
Agentic AI Lead</div><p>
</p></div></div><div></div><div><div><div><div><div><p>
Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you&rsquo;d like, where you&rsquo;ll be supported and inspired by a collaborative community of colleagues around the world, and where you&rsquo;ll be able to reimagine what&rsquo;s possible. Join us and help the world&rsquo;s leading organizations unlock the value of technology and build a more sustainable, more inclusive world.</p><div><div><div><div><b>
Job Description</b></div></div><div><p><b>
Roles and Responsibilities:</b></p><p>
AI First Solution Design Lead AI driven solution across experience and MarTech solutions using latest technologies and frameworks applicable<br>
Model Development Lead to design train and optimize machine learning and deep learning models for various business use cases<br>
Data Engineering Manage to preprocess and analyze large datasets to ensure quality and usability for AI models<br>
Deployment Integration Implement AI models into production environments using cloud platforms and containerization tools<br>
Research Innovation Stay updated on emerging AI technologies and frameworks propose innovative solutions to complex problems<br>
App Development Work closely with application development team for managing application development completion<br>
Collaboration Work closely with data scientists software engineers and product teams to integrate AI capabilities into products and services</p><p><b><br>
Skills:</b><br>
<b>Experience:</b></p><p>
Bachelors or Masters degree in Computer Science AI Data Science or related field<br>
Has to have Martech Background and built an Agentic AI solution on Martech platforms<br>
5 Years of experience in Martech Stack Adobe Salesforce Google<br>
1 Yr Experience with Agent orchestration and prompt management frameworks LangChain CrewAI etc<br>
5 years of experience in Full Stack technologies Eg React Java Spring boot for application development<br>
Deep expertise in LLMs RAG agentic systems and AI orchestration frameworks<br>
Hands on experience deploying AIML solutions in production environments<br>
Expert level proficiency with agentic development tools Claude Code Cursor GitHub Copilot etc<br>
Deep understanding of large language models AI agents and autonomous system design<br>
Knowledge of modern AI driven protocols including MCP Model Context Protocol and similar emerging standards<br>
Full stack engineering mindset must understand and engineer complete systems from frontend to backend infrastructure and data layers to effectively automate them</p><p><b>
Nice to have:</b></p><p>
if candidate has knowledge of Adobe experience cloud products<br>
Proficiency in Python TensorFlow PyTorch and other ML frameworks<br>
Experience with cloud platforms AWS Azure GCP and MLOps tools</p></div></div></div><p>
The base compensation range for this role in the posted location is: USD $150,000 - $155,000/Annum</p><p>
Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law.</p><p>
The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction.</p><p>
These may include, but are not limited to: Geographic location, Education and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity.</p><p>
It is not typical for candidates to be hired at or near the top of the posted compensation range.</p><p>
In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws.</p><p>
</p><p><b>Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees.</b> In the U.S. and Canada, available benefits are determined by local policy and eligibility and may include:
</p><ul><li>Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave</li></ul><ul><li>
Medical, dental, and vision coverage (or provincial healthcare coordination in Canada)</li><li>
Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)</li><li>
Life and disability insurance</li><li>
Employee assistance programs</li><li>
Other benefits as provided by local policy and eligibility</li></ul><p><b>
Important Notice:</b> Compensation (including bonuses, commissions, or other forms of incentive pay) is not considered earned, vested, or payable until it becomes due under the terms of applicable plans or agreements and is subject to Capgemini&rsquo;s discretion, consistent with applicable laws. The Company reserves the right to amend or withdraw compensation programs at any time, within the limits of applicable legislation.</p><p>
</p><p><b>Disclaimers</b></p><p>
Capgemini is an Equal Opportunity Employer encouraging inclusion in the workplace. Capgemini also participates in the Partnership Accreditation in Indigenous Relations (PAIR) program which supports meaningful engagement with Indigenous communities across Canada by promoting fairness, accessibility, inclusion and respect. We value the rich cultural heritage and contributions of Indigenous Peoples and actively work to create a welcoming and respectful environment. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.</p><p>
This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodation does not pose an undue hardship. Capgemini is committed to providing reasonable accommodation during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact.</p><p>
Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process.</p><p></p><p><br>
</p><p>Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.</p><p>
</p></div></div><div><div><div><div><div>Ref. code</div><div>
392686-en_US</div></div><div><div>
Posted on</div><div>
18 Jan 2026</div></div><div><div>
Experience level</div><div>
Experienced Professionals</div></div><div><div>
Contract type</div><div>
Permanent</div></div><div><div>
Location</div><div>
New York, NY</div></div><div><div>
Business unit</div><div>
FS</div></div><div><div>
Brand</div><div>
Capgemini</div></div><div><div>
Professional communities</div><div>
Software Engineering</div></div></div></div></div></div></div></div></div><p></p>

Agentic AI Lead

Capital One

<div>Applied Researcher I (AI Foundations)<p></p><p>
Overview:</p><p>
At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI &amp; ML are bringing humanity and simplicity to banking. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build.</p><p></p><p>
Team Description:</p><p>
The AI Foundations team is at the center of bringing our vision for AI at Capital One to life. Our work touches every aspect of the research life cycle, from partnering with Academia to building production systems. We work with product, technology and business leaders to apply the state of the art in AI to our business.</p><p><br>
In this role, you will:</p><ul><li><p>
Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money.</p></li><li><p>
Leverage a broad stack of technologies &mdash; Pytorch, AWS Ultraclusters, Huggingface, Lightning, VectorDBs, and more &mdash; to reveal the insights hidden within huge volumes of numeric and textual data.</p></li><li><p>
Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation.</p></li><li><p>
Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences.</p></li><li><p>
Flex your interpersonal skills to translate the complexity of your work into tangible business goals.</p></li></ul><p></p><p>
The Ideal Candidate:</p><ul><li><p>
You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it&rsquo;s about making the right decision for our customers.</p></li><li><p>
Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them.</p></li><li><p>
Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You&rsquo;re not afraid to share a new idea.</p></li><li><p>
A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You&rsquo;re passionate about talent development for your own team and beyond.</p></li><li><p>
Technical. You&rsquo;re comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms.</p></li><li><p>
Has a deep understanding of the foundations of AI methodologies.</p></li><li><p>
Experience building large deep learning models, whether on language, images, events, or graphs, as well as expertise in one or more of the following: training optimization, self-supervised learning, robustness, explainability, RLHF.</p></li><li><p>
An engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes.</p></li><li><p>
Experience in delivering libraries, platform level code or solution level code to existing products.</p></li><li><p>
A professional with a track record of coming up with high quality ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects.</p></li><li><p>
Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects.</p></li></ul><p></p><p><b>
Basic Qualifications:</b></p><ul><li><p>
Currently has, or is in the process of obtaining, a PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields, with an exception that required degree will be obtained on or before the scheduled start date or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 2 years of experience in Applied Research</p></li></ul><p></p><p><b>
Preferred Qualifications:</b></p><ul><li><p>
PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields</p></li><li><p>
LLM</p><ul><li><p>
PhD focus on NLP or Masters with 5 years of industrial NLP research experience</p></li><li><p>
Multiple publications on topics related to the pre-training of large language models (e.g. technical reports of pre-trained LLMs, SSL techniques, model pre-training optimization)</p></li><li><p>
Member of team that has trained a large language model from scratch (10B + parameters, 500B+ tokens)</p></li><li><p>
Publications in deep learning theory</p></li><li><p>
Publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR</p></li></ul></li><li><p>
Finetuning</p><ul><li><p>
PhD focused on topics related to guiding LLMs with further tasks (Supervised Finetuning, Instruction-Tuning, Dialogue-Finetuning, Parameter Tuning)</p></li><li><p>
Demonstrated knowledge of principles of transfer learning, model adaptation and model guidance</p></li><li><p>
Experience deploying a fine-tuned large language model</p></li></ul></li><li><p>
Data Preparation</p><ul><li><p>
Publications studying tokenization, data quality, dataset curation, or labeling</p></li><li><p>
Contribution to a major open source corpus</p></li><li><p>
Contribution to open source libraries for data quality, dataset curation, or labeling</p></li></ul></li></ul><p></p><p><i>
Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.</i></p><p></p><p>
The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.</p><p></p>
Cambridge, MA: $218,700 - $249,600 for Applied Researcher I<br>
<p></p>
McLean, VA: $218,700 - $249,600 for Applied Researcher I<br>
<p></p>
New York, NY: $238,600 - $272,300 for Applied Researcher I<br>
<p></p>
San Jose, CA: $238,600 - $272,300 for Applied Researcher I<p></p><p><br>
Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate&rsquo;s offer letter.</p><p></p>
This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.<p></p><p>
Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.</p><p></p>
This role is expected to accept applications for a minimum of 5 business days.<p></p>
No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City&rsquo;s Fair Chance Act; Philadelphia&rsquo;s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.<p></p><p>
If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.</p><p></p><p>
For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com</p><p></p><p>
Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.</p><p></p><p>
Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).</p></div>

Applied Researcher I (AI Foundations)

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