senior data engineer

data engineer

data analyst

ai trainer/data annotator - remote Jobs in Chicago

ai trainer/data annotator - remote

ai/machine learning data engineer Jobs in Chicago

ai/machine learning data engineer

ai trainer data annotator remote

YO IT Consulting

<div>
 Role Overview
 <br/>
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 Collaborating with a leading AI lab to contract detail-oriented generalists for a data annotation project. Contractors will support the development of AI systems by categorizing and labeling diverse datasets using predefined taxonomies. The project offers an opportunity to directly contribute to the accuracy, reliability, and performance of next-generation AI models.
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 <br/>
 Key Responsibilities
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 <br/>
 <ul>
  <li>
   Synthesize information from large volumes of data
  </li>
  <li>
   Annotate and categorize text, images, and other data according to detailed guidelines
  </li>
  <li>
   Apply predefined rubrics and taxonomies to produce structured, high-quality outputs
  </li>
  <li>
   Flag inconsistencies, ambiguities, or errors in datasets
  </li>
  <li>
   Contribute to the improvement of AI systems through consistent annotation work
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Ideal Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Ability to synthesize complex or high-volume information into structured formats
  </li>
  <li>
   Strong critical reasoning, reading comprehension, and written communication skills
  </li>
  <li>
   Prior experience applying rubrics, taxonomies, or standardized guidelines (preferred but not required)
   <br/>
   <br/>
  </li>
 </ul>
 More About the Opportunity
 <br/>
 <br/>
 <ul>
  <li>
   Expected commitment: ~20 hours/week
   <br/>
   <br/>
  </li>
 </ul>
 Application Process
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 <br/>
 <ul>
  <li>
   Submit your resume to begin
  </li>
  <li>
   Complete a Training Assessment
  </li>
  <li>
   Typical response time: 1-2 business days
   <br/>
   <br/>
  </li>
 </ul>
 We consider all qualified applicants without regard to legally protected characteristics and provide reasonable accommodations upon request.
 <br/>
 <br/>
 Contract and Payment Terms
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 <br/>
 <ul>
  <li>
   You will be engaged as an independent contractor.
  </li>
  <li>
   This is a fully remote role that can be completed on your own schedule.
  </li>
  <li>
   Projects can be extended, shortened, or concluded early depending on needs and performance.
  </li>
  <li>
   Your work will not involve access to confidential or proprietary information from any employer, client, or institution.
  </li>
  <li>
   Payments are weekly on Stripe or Wise, based on services rendered.
  </li>
 </ul>
</div>


Ai Trainer/Data Annotator - Remote

<div><p><b>JLL empowers you to shape a brighter way</b>.
</p><p></p><p>Our people at JLL are shaping the future of real estate for a better world by combining world class services, advisory and technology for our clients. We are committed to hiring the best, most talented people and empowering them to thrive, grow meaningful careers and to find a place where they belong. Whether you&rsquo;ve got deep experience in commercial real estate, skilled trades or technology, or you&rsquo;re looking to apply your relevant experience to a new industry, join our team as we help shape a brighter way forward.
</p><p></p><h2 class="jobSectionHeader"><b>About the Role</b></h2><p>
JLL seeks a Lead Trainer to join the Enterprise AI team to design, deliver, and scale training programs driving AI adoption across our 100,000+ employee AI portfolio. This senior individual contributor owns the breadth of the enterprise AI training portfolio &mdash; from foundational onboarding to persona-based enablement to agent platform training. A core part of this role is building and managing the Citizen Trainers network, ensuring JLL's training reach scales far beyond the central team. You'll work independently with L&amp;D and cross-functional business line stakeholders, exercise significant judgment in program design, and build scalable infrastructure that multiplies impact beyond central capacity.</p><p></p><h2 class="jobSectionHeader"><b>
What You'll Do</b></h2><h3 class="jobSectionHeader"><b>
Training Portfolio Design &amp; Delivery</b></h3><ul><li>Own the end-to-end enterprise AI training portfolio &mdash; from Intro to AI@JLL onboarding through persona-based webinars, monthly webinar series, and AI mastery courses</li><li>Design and deliver domain-specific curricula for major business lines connecting AI capabilities to business outcomes</li><li>Build and maintain multi-format content: live workshops, self-paced e-learning modules, videos, quick reference guides, and interactive simulations</li><li>Deliver high-impact training sessions (virtual and in-person) with measurable learning outcomes</li><li>Manage the training calendar and coordinate scheduling, platform logistics, attendee management, and post-session follow-up</li></ul><h3 class="jobSectionHeader"><b>
Citizen Trainer Enablement &amp; Coordination</b></h3><ul><li>Build, enable, and manage the Citizen Trainers community &mdash; recruiting, onboarding, certifying, and supporting a cross-functional group of 25+ trainers delivering 10+ sessions/month</li><li>Develop train-the-trainer frameworks, toolkits, playbooks, and ongoing support systems that ensure quality and consistency at scale</li><li>Monitor Citizen Trainer output and effectiveness &mdash; tracking sessions delivered, attendee activation rates, and feedback scores</li><li>Serve as the primary point of contact for Citizen Trainers, providing coaching, content updates, and escalation support</li></ul><h3 class="jobSectionHeader"><b>
Scalable Infrastructure &amp; Measurement</b></h3><ul><li>Create a self-service learning ecosystem with 50+ assets and systematic refresh cycles aligned to product releases</li><li>Implement learning effectiveness measurements tracking training completion, user proficiency, feature utilization post-training, and the 1.3x training effectiveness multiplier</li><li>Analyze training data to optimize programs, identify gaps, and demonstrate business impact and ROI</li><li>Partner with the enterprise L&amp;D team to leverage the LMS and embed AI training into existing organizational learning pathways</li></ul><h3 class="jobSectionHeader"><b>
Product &amp; GTM Integration</b></h3><ul><li>Align training roadmap with product releases ensuring users are ready for new features and capabilities at launch</li><li>Support agent platform rollout with training strategies, onboarding motions, and enablement materials</li><li>Surface training insights that inform the Product roadmap and UX improvements</li><li>Coordinate with GTM and communications teams to ensure training promotions reach the right audiences through the right channels</li></ul><p></p><h2 class="jobSectionHeader"><b><br>
What You Bring</b></h2><h3 class="jobSectionHeader"><b>
Experience</b></h3><ul><li>7+ years training design/delivery in enterprise technology or digital transformation</li><li>3+ years building and managing train-the-trainer or distributed enablement programs at scale</li><li>Demonstrated success building scalable training models serving 1,000+ employees</li><li>Proven track record measuring and reporting training ROI</li></ul><h3 class="jobSectionHeader"><b>
Technical Skills</b></h3><ul><li>Proficient with generative AI tools (e.g., JLL GPT, ChatGPT, Claude, Copilot) and enterprise AI applications</li><li>Experience with LMS platforms, authoring tools (e.g., Articulate, Synthesia, Camtasia), and learning analytics</li><li>Strong data literacy analyzing training metrics and demonstrating business impact</li></ul><h3 class="jobSectionHeader"><b>
Competencies</b></h3><ul><li>Works independently on complex initiatives across business lines with minimal supervision</li><li>Exercises significant judgment determining priorities, methods, and approaches</li><li>Leads non-reporting staff and ensures stakeholder buy-in and cooperation</li><li>Influences senior stakeholders through credibility and expertise</li><li>Strong operational instincts &mdash; able to manage a portfolio of concurrent programs, trainers, and content while maintaining quality</li></ul><h3 class="jobSectionHeader"><b>
Preferred</b></h3><ul><li>Certification in instructional design, adult learning, or change management (ATD, CPTD, Prosci)</li><li>Professional services or management consulting experience</li><li>Real estate industry knowledge</li></ul><p></p><p>
This position does not provide visa sponsorship. Candidates must be authorized to work in the United States without sponsorship.</p><p></p><p><b>
Estimated compensation for this position:</b></p><p></p>
165,000.00 &ndash; 187,000.00 USD per year<p></p><p><i>
This range is an estimate and actual compensation may differ. Final compensation packages are determined by various considerations including but not limited to candidate qualifications, location, market conditions, and internal considerations.</i></p><p></p><p><b>
Location:</b></p><p></p>
Remote &ndash;Chicago, IL<p></p><p>
If this job description resonates with you, we encourage you to apply, even if you don&rsquo;t meet all the requirements. We&rsquo;re interested in getting to know you and what you bring to the table!</p><p><b><br>
Personalized benefits that support personal well-being and growth:</b></p><p></p><p>
JLL recognizes the impact that the workplace can have on your wellness, so we offer a supportive culture and comprehensive benefits package that prioritizes mental, physical and emotional health. Some of these benefits may include:</p><ul><li><p>
401(k) plan with matching company contributions</p></li><li><p>
Comprehensive Medical, Dental &amp; Vision Care</p></li><li><p>
Paid parental leave at 100% of salary</p></li><li><p>
Paid Time Off and Company Holidays</p></li><li><p>
Early access to earned wages through Daily Pay</p></li></ul><p></p><p>
At JLL, we harness the power of artificial intelligence (AI) to efficiently accelerate meaningful connections between candidates and opportunities. Using AI capabilities, we analyze your application for relevant skills, experiences, and qualifications to generate valuable insights about how your unique profile aligns with the specific requirements of the role you're pursuing.</p><p></p><p><b><i>
JLL Privacy Notice</i></b></p><p>
Jones Lang LaSalle (JLL), together with its subsidiaries and affiliates, is a leading global provider of real estate and investment management services. We take our responsibility to protect the personal information provided to us seriously. Generally the personal information we collect from you are for the purposes of processing in connection with JLL&rsquo;s recruitment process. We endeavour to keep your personal information secure with appropriate level of security and keep for as long as we need it for legitimate business or legal reasons. We will then delete it safely and securely.</p><p></p><p>
For more information about how JLL processes your personal data, please view our Candidate Privacy Statement.</p><p></p><p>
For additional details please see our career site pages for each country.</p><p></p><p>
For candidates in the United States, please see a full copy of our Equal Employment Opportunity policy here.</p><p></p><p>
Jones Lang LaSalle (&ldquo;JLL&rdquo;) is an Equal Opportunity Employer and is committed to working with and providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process &ndash; including the online application and/or overall selection process &ndash; you may email us at HRSCLeaves@jll.com. This email is only to request an accommodation. Please direct any other general recruiting inquiries to our Contact Us page &gt; I want to work for JLL.</p><p></p><p>
Pursuant to the Arizona Civil Rights Act, criminal convictions are not an absolute bar to employment.</p><p></p><p>
Pursuant to Illinois Law, applicants are not obligated to disclose sealed or expunged records of conviction or arrest.</p><p></p><p>
Pursuant to Columbia, SC ordinance, this position is subject to a background check for any convictions directly related to its duties and responsibilities. Only job-related convictions will be considered and will not automatically disqualify the candidate.</p><p></p><p><b>
California Residents only</b></p><p>
If you are a California resident as defined in the California Consumer Privacy Act (CCPA) please view our Supplemental Privacy Statement which describes your rights and disclosures about your personal information. If you are viewing this on a mobile device you may want to view the CCPA version on a larger device.</p><p></p><p>
Pursuant to the Los Angeles Fair Chance Initiative for Hiring Ordinance, JLL will consider for employment all qualified Applicants, including those with Criminal Histories, in a manner consistent with the requirements of applicable state and local laws, including the City of Los Angeles&rsquo; Fair Chance Initiative for Hiring Ordinance.</p><p></p><p>
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.</p><p></p><p>
Accepting applications on an ongoing basis until candidate identified.</p></div>

Lead Trainer — Enterprise AI

Daniels Health

<div><div><div><div><div><h1 class="jobSectionHeader"><b>Hazardous Waste Driver Trainer</b></h1>
<p><b>
Remote &ndash; Midwest Preferred | Full‑Time | Daniels Health USA</b></p>
<h2 class="jobSectionHeader"><b>
Join a Rapidly Growing Leader in Healthcare Waste Management</b></h2>
<ul><li>Daniels Health is experiencing significant national growth across facilities, service areas, and fleet operations</li>
<li>We are expanding our hazardous waste services rapidly across the United States</li>
<li>This role is essential in shaping and scaling a best‑in‑class national driver training program</li>
<li>Ideal for someone who thrives in a high‑growth, mission‑driven environment</li>
</ul><h2 class="jobSectionHeader"><b>What You Will Do</b></h2>
<ul><li>Create and deliver driver training programs aligned with DOT and EPA requirements</li>
<li>Manage all initial and recurrent training schedules</li>
<li>Conduct field evaluations, ride‑alongs, and driver skills assessments</li>
<li>Coach drivers on safety, compliance, equipment use, and customer service</li>
<li>Identify gaps in current driver practices and recommend improvements</li>
<li>Collaborate with operations, safety, and hazardous waste teams on training priorities</li>
<li>Serve as the organization&rsquo;s subject‑matter expert on hazardous waste driver responsibilities</li>
<li>Travel 70&ndash;75% of the time across the U.S.</li>
</ul><h2 class="jobSectionHeader"><b>What You Bring</b></h2>
<ul><li>Bachelor&rsquo;s degree in Environmental Studies, Safety, Transportation, Training, or similar field (or equivalent experience)</li>
<li>4+ years in hazardous waste management, transportation, or DOT/RCRA compliance</li>
<li>2+ years in training, coaching, or a team lead role</li>
<li>Strong understanding of DOT/FMCSA and EPA regulations</li>
<li>Experience with load securement, shipping papers, and other transportation fundamentals</li>
<li>Proven ability to evaluate performance and deliver hands‑on, skills‑based training</li>
<li>Experience creating SOPs, programs, or process improvements</li>
<li>Ability to lead a program at a national level</li>
<li>Preferred certifications: DOT HazMat Transportation, RCRA Annual Training, HazMat CDL endorsement</li>
</ul><h2 class="jobSectionHeader"><b>Who Thrives Here</b></h2>
<ul><li>Trainers who enjoy hands‑on field coaching</li>
<li>Strong communicators who can simplify complex regulations</li>
<li>Problem‑solvers who proactively identify improvements</li>
<li>Self‑starters comfortable owning national programs</li>
<li>Individuals seeking growth within a rapidly expanding organization</li>
</ul><h2 class="jobSectionHeader"><b>Why Daniels Health</b></h2>
<ul><li>Fast‑growing healthcare waste company with nationwide and global expansion</li>
<li>High‑impact role building a national driver training program from the ground up</li>
<li>Mission‑driven culture focused on safety, compliance, and environmental protection</li>
<li>Opportunities for career growth as the organization continues to scale</li>
</ul><h2 class="jobSectionHeader"><b>Ready to Grow With Us?</b></h2>
<ul><li>Be part of an organization experiencing major national growth</li>
<li>Play a key role in shaping the future of hazardous waste driver training</li>
<li>Apply today and help us build safer, stronger, and more compliant service operations across the country</li>
</ul>
</div> <p><b>Apply today and be part of something that&rsquo;s making a real impact.</b></p>
</div>
</div></div><div><div>$79,292 - $113,723 a year</div><div>
<div><i>&ldquo;The pay range for this position is $79,292 to $113,723 salary. Actual compensation within this range will depend on factors unique to each candidate, such as prior experience, skill, certifications, and work location. Pay variations by location reflect local conditions and differences in the cost of labor.</i></div>
<div><i>At Daniels Health, we are committed to supporting our employees&rsquo; well-being, work-life balance, and career growth through a comprehensive benefit package. Eligible employees enjoy benefits such as medical, dental, and vision insurance, retirement savings plans with company match contributions, paid vacation and sick time, wellness resources, life insurance, and professional development opportunities.&rdquo;</i></div>
</div></div><div><div>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.</div></div></div>

Hazardous Waste Trainer- Transportation

Stratosys Technologies LLC

<p><b>About the role:</b><br/>We are seeking a seasoned Lead Data Scientist to spearhead AI and machine learning initiatives for our insurance operations. You will design, develop, and deploy advanced GenAI solutions like RAG and Agentic AI workflows to optimize risk assessment, claims automation, fraud detection, and personalized underwriting. Leading a team, you'll integrate AI into production systems on Cloud platforms, drive model performance, and align innovations with business goals in the dynamic insurance landscape.</p><p><b>Key Responsibilities:</b></p><p><b>Generative AI &amp; Agentic Workflows:</b></p><ul><li>Design and implement RAG systems and Agentic AI workflows using prompt engineering, fine-tuning of LLMs, and frameworks like LangGraph/LangChain to automate insurance processes such as policy binding and claims adjudication.</li><li>Develop autonomous AI agents for tasks like real-time risk scoring and customer query resolution.</li><li>Evaluate LLMs for accuracy, bias mitigation, and alignment with insurance regulations (e.g., IRDAI compliance).</li></ul><p><b>Model Development &amp; Deployment:</b></p><ul><li>Architect, build, and refine ML/GenAI models (traditional and generative) to tackle insurance challenges like predictive analytics for market risk, anomaly detection in claims, and isolation forests for fraud.</li><li>Deploy scalable models in production on AWS/Azure/GCP.</li><li>Optimize models using performance metrics, feedback loops, and A/B testing for cost-efficiency and reliability.</li></ul><p><b>Leadership &amp; Collaboration:</b></p><ul><li>Lead cross-functional teams to integrate AI into existing workflows, enhancing efficiency in underwriting, binding authority, and operations.</li><li>Develop robust benchmarks, evaluation metrics, and monitor model drift/bias in large insurance datasets.</li><li>Stay ahead of AI advancements, mentoring juniors and presenting insights to stakeholders.</li></ul><p><b>Qualifications &amp; Talents:</b></p><ul><li>Bachelor&rsquo;s/master&rsquo;s in computer science, Statistics, Data Science, or related field.</li><li>10+ years in ML/Data Science, with 3+ years leading GenAI projects in insurance/finance.</li><li>Expertise in Python, ML libraries (Pandas, NumPy, scikit-learn, TensorFlow, PyTorch), and GenAI frameworks (LangChain, LangGraph).</li><li>Strong stats, algorithms, data structures; experience with large datasets, visualization (Matplotlib, Seaborn, Tableau).</li><li>Excellent communication, problem-solving, and team leadership skills.</li><li>Passion for AI innovation and insurance domain knowledge (e.g., binding authority, actuarial models).</li></ul><p>Pay: $70.00 - $75.00 per hour</p><p>Benefits:</p><ul><li>Referral program</li></ul><p>Work Location: Hybrid remote in Chicago, IL 60617</p>

Lead Data Scientist

NTT DATA

<div><b>Req ID:</b> 365821
<br>
<br>
NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now.<br>
<br>
We are currently seeking a Digital Arch. Presales Senior Manager to join our team in Chicago, Illinois (US-IL), United States (US).<br>
<b>Job Title: ServiceNow Pre-Sales Solution Consultant</b><br>
<br>
Location: Remote (with occasional travel as needed)<br>
<b>Role Overview:</b><br>
<br>
NTT DATA is seeking a dynamic and experienced <b>ServiceNow Pre-Sales Solution Consultant</b> who combines deep technical solutioning expertise with strategic pre-sales capabilities. This role will lead complex, cross platform, multiple industries pre-sales and competitive offerings lifecycle management partnering closely with practice sales/GTM, marketing, delivery, alliances to accelerating customer, partner outcomes and practice growth.<br>
<b>Key Responsibilities:</b><br>
<b>Pre-Sales Leadership &amp; Deal Strategy</b><br>
<ul><li>
Support opportunity qualification and Lead discovery, and solution strategy for complex multi-industry pursuits; establish win themes and differentiation by vertical and the depth of the solution.</li><li>
Create a end to value map and orchestrate solution pursuit (Product experts, Tech architects, GTM, delivery leaders) ensuring compelling proposals and differentiators.</li><li>
Own the technical/ solution design narrative across discovery, PoVs/PoCs, solution reviews, and solution defense.</li></ul><b>
AI &amp; Cross-Platform Solution Design</b><br>
<ul><li>
Design end-to-end solution architecture leveraging ServiceNow AI and Workflows solutions across Generative AI Controller, AI Search, Process Optimization, and predictive intelligence to deliver measurable outcomes.</li><li>
Define an integrated/secure platform solution strategy across cloud, identity, observability, cybersecurity, enterprise apps.</li><li>
Balance configuration vs. customization, performance, security, and data governance; articulate tradeoffs and roadmap implications.</li><li>
Estimate effort, define scope, and align deliverables with client expectations and budget constraints.</li><li>
Support pricing strategies and resource planning for the phases of the engagement.</li></ul><b>
Value Engineering</b><br>
<ul><li>
Lead value discovery tailored to each industry; translate pain points into value hypotheses and defendable TCO/ROI tied to client KPIs.</li><li>
Prototype user-centric experiences across ITSM, CSM, HRSD, SPM, IRM/GRC, SecOps, ITOM/CMDB, App Engine-and industry workflows (FSI, Healthcare/Life Sciences, Public Sector, Manufacturing/Energy, Retail/Consumer, Telecom/Tech).</li><li>
Create outcome-based roadmaps and optimize solution scope to align with budget, entitlements, and roadmap; collaborate with sales/GTM</li><li>
Create/evolve ServiceNow offerings (solution packages, accelerators, reference architectures) with clear value propositions, pricing/packaging, qualification criteria, and delivery approach.</li><li>
Build sales and pre-sales enablement assets (demo scripts, discovery guides, scoping templates, value calculators, one-pagers, customer stories).</li></ul><b>
Qualifications:</b><br>
<ul><li>
6-8 years of pre-sales consulting experience for global enterprises within the ServiceNow ecosystem (or adjacent workflow platforms).</li><li>
Proven expertise in complex, cross-industry deals: discovery through close, executive storytelling, solution governance.</li><li>
Deep hands-on understanding of ServiceNow AI capabilities (Now Assist, Generative AI Controller, AI Search), cross platform architecture, product knowledge and how to apply them to real business outcomes.</li><li>
Excellence in value-based solutioning, value journey creation (TCO/ROI), and outcome-centric road mapping.</li><li>
Experience creating offerings (pricing/packaging, enablement assets) and running integrated campaigns with GTM, marketing and partners.</li><li>
Proven ServiceNow partner/SI ecosystem experience (co-sell, co-market, and delivery alignment with ServiceNow)</li><li>
Exceptional communication, problem solving, and design thinking skills; comfortable leading C-suite conversations and technical deep dives.</li><li>
Bachelor's degree in computer science, Engineering, Information Systems, or equivalent experience</li><li>
Certification: Pre-sales accreditation, CTA, CSA, CIS (e.g., ITSM, CSM, HRSD, ITOM, IRM),</li><li>
Where required by law, NTT DATA provides a reasonable range of compensation for specific roles. The starting pay range for this remote role is4110,000 TO $170,000. This range reflects the minimum and maximum target compensation for the position across all US locations. Actual compensation will depend on a number of factors, including the candidate's actual work location, relevant experience, technical skills, and other qualifications.</li><li>
This position may also be eligible for incentive compensation based on individual and/or company performance.
</li></ul><br>
#LI-NAM<br>
<br>
#NASALES<br>
<br>
<b>About NTT DATA</b><br>
<br>
NTT DATA is a $30 billion business and technology services leader, serving 75% of the Fortune Global 100. We are committed to accelerating client success and positively impacting society through responsible innovation. We are one of the world's leading AI and digital infrastructure providers, with unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and application services. our consulting and Industry solutions help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more than 50 countries. We also offer clients access to a robust ecosystem of innovation centers as well as established and start-up partners. NTT DATA is a part of NTT Group, which invests over $3 billion each year in R&amp;D.<br>
<br>
Whenever possible, we hire locally to NTT DATA offices or client sites. This ensures we can provide timely and effective support tailored to each client's needs. While many positions offer remote or hybrid work options, these arrangements are subject to change based on client requirements. For employees near an NTT DATA office or client site, in-office attendance may be required for meetings or events, depending on business needs. At NTT DATA, we are committed to staying flexible and meeting the evolving needs of both our clients and employees. NTT DATA recruiters will never ask for payment or banking information and will only use @nttdata.com and @talent.nttdataservices.com email addresses. If you are requested to provide payment or disclose banking information, please submit a contact us form, https://us.nttdata.com/en/contact-us.<br>
<br>
<b>NTT DATA endeavors to make https://us.nttdata.com accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at https://us.nttdata.com/en/contact-us. </b><b>This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here. If you'd like more information on your EEO rights under the law, please click here. For Pay Transparency information, please click here.</b></div>

Digital Arch. Presales Senior Manager

H2O.ai

<div><p>Founded in 2012, H2O.ai is on a mission to democratize AI. As the world&rsquo;s leading agentic AI company, H2O.ai converges Generative and Predictive AI to help enterprises and public sector agencies develop purpose-built GenAI applications on their private data. With a focus on Sovereign AI&mdash;secure, compliant, and infrastructure-flexible deployments&mdash;H2O.ai delivers solutions that align with the highest standards of data privacy and control.<br>
<br>
Our open-source technology is trusted by over 20,000 organizations worldwide, including more than half of the Fortune 500. H2O.ai powers AI transformation for companies like AT&amp;T, Commonwealth Bank of Australia, Chipotle, Workday, Progressive Insurance, and NIH.<br>
<br>
H2O.ai partners include NVIDIA, Dell Technologies, Deloitte, Ernst &amp; Young (EY), Snowflake, AWS, Google Cloud Platform (GCP), VAST Data and MinIO. H2O.ai&rsquo;s AI for Good program supports nonprofit groups, foundations, and communities in advancing education, healthcare, and environmental conservation. With a vibrant community of 2 million data scientists worldwide, H2O.ai aims to co-create valuable AI applications for all users.<br>
<br>
H2O.ai has raised 256 million from investors, including Commonwealth Bank, NVIDIA, Goldman Sachs, Wells Fargo, Capital One, Nexus Ventures and New York Life.<br>
<br>
For more information, visit www.h2o.ai.</p><p><b>
About This Opportunity</b></p><p>
We are looking for a Senior AI Engineer who builds things that matter. You will design and ship end-to-end AI solutions for some of APAC's most complex enterprise problems - spanning agentic AI systems, LLM applications, and production ML pipelines. This is a hands-on engineering role embedded within a customer-facing field team, meaning your work will be seen, used, and evaluated by real enterprises from day one.</p><p>
You will work alongside Kaggle Grandmasters, ML engineers, and domain experts to deliver AI that goes beyond demos - into production, into workflows, and into measurable business outcomes.<br>
<br>
This position is based in Chicago, Illinois.</p><p><b>
What You Will Do</b></p><p><i>
Agentic AI &amp; LLM Engineering</i></p><ul><li>
Design and build agentic AI systems and multi-agent frameworks that automate complex, multi-step workflows for enterprise customers.</li><li>
Develop and deploy LLM-powered applications using techniques including RAG, fine-tuning, prompt engineering, function calling, and tool use.</li><li>
Implement guardrails, evaluation frameworks, and responsible AI controls to ensure production-grade reliability and safety.</li><li>
Stay current with the rapidly evolving agentic AI landscape - MCP, LLM orchestration frameworks, reasoning models - and bring the best of it into customer engagements.</li></ul><p><i>
End-to-End AI Application Development</i></p><ul><li>
Own the full development lifecycle: from problem framing and data exploration through model development, API integration, and production deployment.</li><li>
Build scalable backend services and APIs that expose AI capabilities to enterprise applications and workflows.</li><li>
Integrate AI models into customer environments - cloud, on-prem, and hybrid - ensuring performance, stability, and maintainability at scale.</li><li>
Develop ML pipelines and LLMOps infrastructure that support continuous model improvement and monitoring in production.</li></ul><p><i>
Customer Engagement &amp; Delivery</i></p><ul><li>
Work directly with customer data scientists, engineers, and business stakeholders to translate real-world problems into AI solutions.</li><li>
Contribute to pre-sales and proof-of-concept engagements - building fast, credible demonstrations that win technical trust.</li><li>
Communicate clearly across audiences: from detailed technical design reviews with engineering teams to outcome-focused updates for business stakeholders.</li><li>
Collaborate closely with Program Managers, Solution Engineers, and Kaggle Grandmasters to deliver cohesive, high-quality solutions.</li></ul><p><b>
What We Are Looking For</b></p><p><i>
Experience &amp; Background</i></p><ul><li>
3+ years of hands-on AI/ML engineering experience, including end-to-end model development and production deployment.</li><li>
Demonstrable experience building LLM-powered applications - RAG pipelines, agentic workflows, fine-tuned models, or similar.</li><li>
Strong Python engineering skills; experience with ML frameworks (PyTorch, TensorFlow, scikit-learn) and LLM tooling (LangChain, LlamaIndex, or equivalent).</li><li>
Experience deploying models and AI services in cloud or enterprise environments (AWS, Azure, GCP, on-prem Kubernetes).</li></ul><p><i>
Skills &amp; Capabilities</i></p><ul><li>
Deep understanding of modern GenAI concepts: prompt engineering, RAG, fine-tuning, RLHF, model evaluation, guardrails, and LLMOps.</li><li>
Solid grounding in classical ML - able to select the right tool for the problem, not just default to the latest LLM.</li><li>
Backend development skills: REST APIs, containerization (Docker/Kubernetes), and CI/CD pipelines for AI applications.</li><li>
Strong problem-solving instincts - comfortable with ambiguity, able to move fast without sacrificing engineering quality.</li><li>
Clear communicator who can explain complex AI systems to non-technical stakeholders without oversimplifying.</li></ul><p><b>
How to Stand Out From the Crowd</b></p><ul><li>
Kaggle or competitive ML experience.</li><li>
Familiarity with H2O.ai products, Wave, or H2O Document AI.</li><li>
Experience in financial services, healthcare, or other regulated industry AI deployments.</li><li>
Exposure to tabular foundation models, AutoML, or enterprise ML platforms.</li><li>
Prior experience in a customer-facing or field engineering role.</li></ul><p><b>
Why H2O.ai?</b></p><ul><li>
Market leader in total rewards</li><li>
Remote-friendly culture</li><li>
Flexible working environment</li><li>
Be part of a world-class team</li><li>
Career growth</li></ul><p>
H2O.ai is committed to creating a diverse and inclusive culture. All qualified applicants will receive consideration for employment without regard to their race, ethnicity, religion, gender, sexual orientation, age, disability status or any other legally protected basis.</p><p>
H2O.ai is an innovative AI cloud platform company, leading the mission to democratize AI for everyone. Thousands of organizations from all over the world have used our cutting-edge technology across a variety of industries. We&rsquo;ve made it easy for people at all levels to generate breakthrough solutions to complex business problems and advance the discovery of new ideas and revenue streams. We push the boundaries of what is possible with artificial intelligence.</p><p>
H2O.ai employs the world&rsquo;s top Kaggle Grandmasters, the community of best-in-the-world machine learning practitioners and data scientists. A strong AI for Good ethos and responsible AI drive the company&rsquo;s purpose.</p><p>
Please visit www.H2O.ai to learn more.</p>
#LI-Hybrid<br>
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</p><p>5fmdQVXVd5</p></div>

Senior AI Engineer

Huron Consulting Group

<div><div>Huron is a global consultancy that collaborates with clients to drive strategic growth, ignite innovation and navigate constant change. Through a combination of strategy, expertise and creativity, we help clients accelerate operational, digital and cultural transformation, enabling the change they need to own their future.<br>
<br>
Join our team as the expert you are now and create your future.</div><div></div>
We are looking for a hands-on and adaptable AI/ML Engineer to join our AI practice. You&rsquo;ll help design, build, and deploy intelligent systems that leverage a range of technologies&mdash;from machine learning to generative AI and agent-based architectures&mdash;to solve complex, real-world problems.<br>
This role spans the full AI solution lifecycle: data preparation, model development, application integration, and ongoing evaluation. You will collaborate closely with architects, and domain experts to ensure the AI solutions you help build are intelligent, reliable, and aligned with client goals.<br>
We work across industries and use cases, from early-stage prototypes to production-ready deployments, and we're continuously exploring new AI paradigms&mdash;including AI agents, agent orchestration layer, model chaining, and self-evaluating systems. If you&rsquo;re excited by emerging AI technologies, fast-moving teams, and applied problem-solving, this is the role for you.<div></div><div><b>
Key Responsibilities</b></div><ul><li><div>
Design and develop AI-powered systems using both traditional ML and generative AI techniques, including prompt engineering, fine-tuning, and embeddings</div></li><li><div>
Build intelligent applications and agents that can perform tasks autonomously or interactively, using frameworks like LangGraph, AutoGen, CrewAI or similar</div></li><li><div>
Create modular, well-documented APIs and service components (e.g., using FastAPI or Flask) to enable model integration and consumption</div></li><li><div>
Develop and manage data pipelines, including data collection, transformation, and quality assurance to support model training</div></li><li><div>
Implement observability and evaluation mechanisms to monitor AI system behavior, including accuracy, drift, reliability, and task-level reasoning</div></li><li><div>
Collaborate with software engineers, data scientists, and solution architects to ensure seamless design, development, and transition to production</div></li><li><div>
Support rapid experimentation as well as robust deployment pipelines, depending on the maturity of each use case</div></li><li><div>
Stay informed on the latest trends in GenAI, AI agents, orchestration protocols, and evaluation frameworks to continuously evolve our capabilities</div></li><li><div>
Support project management tasks, including planning, tracking deliverables, coordinating cross-functional teams, and ensuring alignment with client timelines and objectives</div></li><li><div>
Assist in preparing status reports, managing stakeholder communications, and identifying risks or issues in project execution</div></li></ul><div></div><div><b>
Required Qualifications</b></div><ul><li><div>
3+ years of hands-on experience in AI/ML development or intelligent application engineering</div></li><li><div>
Bachelor&rsquo;s degree in Computer Science, Engineering, Data Science, or a related field</div></li><li><div>
Experience in Python</div></li><li><div>
Familiarity with modern ML/AI libraries (e.g., scikit-learn, PyTorch, TensorFlow, OpenAI APIs)</div></li><li><div>
Familiarity with cloud platforms (Azure, AWS) and containerization tools (Docker)</div></li></ul><div></div><div><b>
Preferred Qualifications</b></div><ul><li><div>
5+ years of hands-on experience in AI/ML development or intelligent application engineering</div></li><li><div>
Proficiency in Python</div></li><li><div>
Strong familiarity with modern ML/AI libraries (e.g., scikit-learn, PyTorch, TensorFlow, OpenAI APIs)</div></li><li><div>
Experience building APIs or backend services using FastAPI, Flask, or equivalent frameworks</div></li><li><div>
Exposure to agent frameworks (e.g., LangGraph, AutoGen) and vector databases</div></li><li><div>
Strong Familiarity with cloud platforms (Azure, AWS) and containerization tools (Docker)</div></li><li><div>
Familiarity with cloud-based ML platforms such as Azure Machine Learning, AWS SageMaker, or Google AI/ML services</div></li><li><div>
Experience with MLOps pipelines, CI/CD for model delivery, or model monitoring is a plus</div></li><li><div>
Familiarity with orchestration standards or tools such as MCP or agent routing protocols is a plus</div></li><li><div>
Knowledge of AI system evaluation, observability, or prompt performance testing is a plus</div></li><li><div>
Ability to work on cross-functional teams, balance multiple projects, and communicate effectively with technical and non-technical audiences</div></li><li><div>
Cloud certifications in AI/ML services (Azure, AWS, or Google Cloud) is a plus</div></li><li><div>
Experience managing technical projects or performing hybrid engineer/PM roles, with strong organizational and communication skills</div></li><li><div>
Ability to balance hands-on development with project coordination, ensuring both technical quality and timely delivery</div></li></ul><div></div><div>
Flexible living locations across US or Canada, ability to travel as needed.</div><div><br>
The estimated base salary for this job is $130,000 - $160,000 USD. The range represents a good faith estimate of the range that Huron reasonably expects to pay for this job at the time of the job posting. The actual salary paid to an individual will vary based on multiple factors, including but not limited to specific skills or certifications, years of experience, market changes, and required travel. This job is also eligible to participate in Huron&rsquo;s annual incentive compensation program, which reflects Huron&rsquo;s pay for performance philosophy. Inclusive of annual incentive compensation opportunity, the total estimated compensation range for this job is $145,600 - $188,800 USD. The job is also eligible to participate in Huron&rsquo;s benefit plans which include medical, dental and vision coverage and other wellness programs. The salary range information provided is in accordance with applicable state and local laws regarding salary transparency that are currently in effect and may be implemented in the future.<br>
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#LI-CL1<br>
#LI-REMOTE</div><div></div><h2 class="jobSectionHeader"><b>
Position Level</b></h2>
Senior Associate<div></div><h2 class="jobSectionHeader"><b>
Country</b></h2>
United States of America</div>

AI/ML Engineer (Senior Associate) - Remote

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