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artificial intelligence specialist

Tata Consultancy Services (TCS)

<div></div><div><div><div><div><div>AI Engineer</div><br>
<div><br>
</div><div>Must Have Technical/Functional Skills
</div><ul><li> 4&ndash;8+ years of experience in software engineering, ML engineering, or AI solution development
</li></ul><ul><li> Strong proficiency in Java and experience
</li></ul><ul><li> Hands on experience with Generative AI / LLMs, including RAG, embeddings, prompt engineering, and agents
</li></ul><ul><li> Solid understanding of data engineering concepts, SQL/NoSQL, and feature pipelines
</li></ul><ul><li> Experience deploying AI solutions on cloud platforms (GCP preferred; AWS/ Azure acceptable)
</li></ul><ul><li> Familiarity with Docker, Kubernetes, and CI/CD pipelines
</li></ul><ul><li> Strong problem solving, communication, and stakeholder collaboration skills</li></ul><br>
<div><br>
</div><div>Roles &amp; Responsibilities
</div><div>We are seeking a highly skilled Java + AI Engineer to design, build, and deploy scalable AI and Generative AI solutions that solve real business problems. The role bridges data science, software engineering, and cloud platforms to operationalize machine learning, LLM based applications, and intelligent automation across the enterprise.
</div><div>________________________________________
</div><div>Key Responsibilities
</div><ul><li> Design, develop, and deploy AI/ML and Generative AI solutions including LLM based applications, RAG pipelines, agents, and predictive models
</li></ul><ul><li> Translate business use cases into production ready AI solutions with measurable outcomes
</li></ul><ul><li> Deep knowledge in Java streams technology
</li></ul><ul><li> Implement LLM orchestration, prompt engineering, vector search, embeddings, and model fine tuning
</li></ul><ul><li> Develop scalable APIs and microservices to integrate AI capabilities into enterprise applications
</li></ul><ul><li> Collaborate with Data Engineers, Data Scientists, Product Owners, and Cloud teams across onshore offshore models
</li></ul><ul><li> Implement MLOps / LLMOps practices including CI/CD, monitoring, versioning, model governance, and observability
</li></ul><ul><li> Ensure Responsible AI, security, compliance, and data privacy by design
</li></ul><ul><li> Support production deployments, performance tuning, and continuous improvement of AI systems</li></ul><br>
<div><br>
</div><div>Salary Range- $100,000-$120,000 a year
</div><div>#LI-OJ1
</div></div></div></div><div><div><div><b>Location</b></div>
<div>Chicago, IL</div>
</div><div><div><b>Job Function</b></div>
<div>TECHNOLOGY</div>
</div><div><div><b>Role</b></div>
<div>Engineer</div>
</div><div><div><b>Job Id</b></div>
<div>404939</div>
</div><div><div><b>Desired Skills</b></div>
<div>Artificial Intelligence</div>
</div><div><div><b>Salary Range</b></div>
<div>$100,000-$120,000 a year</div>
</div></div><p>Desired Candidate Profile
</p><div><div><b>Qualifications</b> : BACHELOR OF COMPUTER SCIENCE</div></div></div><div></div>

AI Engineer

Rush University Medical Center

<p></p><div><p><b>Location: </b>Chicago, Illinois
</p><p><b>Business Unit: </b>Rush Medical Center
</p><p><b>Hospital: </b>Rush University Medical Center
</p><p><b>Department: </b>Enterprise IT Strategy &amp; Plang
</p><p><b>Work Type: </b>Full Time (Total FTE between 0.9 and 1.0)
</p><p><b>Shift: Shift 1
</b></p><p><b>Work Schedule: </b>8 Hr (8:00:00 AM - 5:00:00 PM)
</p><p><b>Rush offers exceptional rewards and benefits learn more at our </b>Rush benefits page (https://www.rush.edu/rush-careers/employee-benefits).
</p><p><b>Pay Range: </b>$63.10 - $94.02 per hour
<br>
Rush salaries are determined by many factors including, but not limited to, education, job-related experience and skills, as well as internal equity and industry specific market data. The pay range for each role reflects Rush&rsquo;s anticipated wage or salary reasonably expected to be offered for the position. Offers may vary depending on the circumstances of each case.
</p><p>Summary:
<br>
The Director, AI Transformation provides enterprise level leadership for high priority, high value artificial intelligence and automation initiatives aligned with the organization&rsquo;s strategic vision. This role leads and governs a cross functional AI delivery team (Tiger Team) responsible for rapidly translating executive priorities into scalable, compliant, and outcome driven AI solutions. This leader partners closely with executive operational and technology stakeholders to architect innovative initiatives that deliver measurable results while executing the RUSH AI Strategy. Exemplifies the Rush mission, vision and values and acts in accordance with Rush policies and procedures.
</p><div>Other information:
<br>
Required Job Qualifications:
<br>
<ul><li>Bachelor&rsquo;s degree in business, Health Informatics, Data Analytics, Information Systems, or related field
</li><li>3-5+ years of experience in healthcare IT, analytics, or data driven transformation roles
</li><li>3+ years in a leadership or program lead role managing cross functional teams
</li><li>Strong understanding of healthcare data domains (clinical, financial, operational)
</li><li>Proven experience leading high pressure, executive driven initiatives
</li></ul><br>
Preferred Job Qualifications:
<br>
<ul><li>Master&rsquo;s degree in informatics, data science or relevant discipline
</li><li>Experience leading AI, machine learning, or advanced analytics programs in healthcare
</li><li>Familiarity with EHR data (e.g., Epic), enterprise data platforms (e.g. Salesforce, Workday), and BI/analytics tools
</li><li>Knowledge of AI governance, responsible AI frameworks, and model risk management
</li><li>Agile, Lean, or Six Sigma leadership experience
</li></ul><br>
Competencies:
<br>
<ul><li>Executive leadership and influence
</li><li>Data driven decision making and critical thinking
</li><li>AI/analytics strategy and delivery execution
</li><li>Risk management and governance
</li><li>Clear, concise communication under pressure
</li><li>Strong accountability and ownership mindset
</li><li>Operates with urgency in ambiguous, high impact situations
</li><li>Balances speed, innovation, and risk
</li><li>Hands on leader with strong follow through
</li><li>Outcome focused and enterprise oriented
</li></ul><br>
Disclaimer:
<br>
The above is intended to describe the general content of and requirements for the performance of this job. It is not to be construed as an exhaustive statement of duties, responsibilities or requirements.<br>
<br>
</div><div>Responsibilities:
<br>
Tiger Team Leadership &amp; Strategy
<br>
<ul><li>Act as a catalyst to accelerate AI deployments, closely working with applications teams.
</li><li>Lead and coordinate cross functional Tiger Teams (business analysts, data engineers, AI/ML specialists, clinicians, operations, vendors)
</li><li>Map current state workflows
</li><li>Investigate high value workflows
</li><li>Prioritize and sequence work based on enterprise value, and urgency
</li><li>Serve as escalation point for issues related to data, models, workflows, and adoption
</li></ul><br>
AI &amp; Analytics Program Execution
<br>
<ul><li>Direct rapid assessments of AI/analytics use cases, including feasibility, risk, data readiness, and expected value
</li><li>Guide development of AI functional requirements, use case roadmaps, proofs of concept, and production deployments
</li><li>Ensure alignment with enterprise data strategy, analytics standards, and architectural principles
</li><li>Oversee model lifecycle activities including validation, monitoring, and performance review
</li></ul><br>
Governance, Risk &amp; Responsible AI
<br>
<ul><li>Ensure AI and analytics solutions comply with HIPAA, data privacy, security, and healthcare regulatory requirements
</li><li>Partner with legal, compliance, and cybersecurity teams on AI governance, responsible AI, bias mitigation, and explainability
</li></ul><br>
Stakeholder &amp; Executive Engagement
<br>
<ul><li>Act as a trusted advisor to clinical, operational, and executive leadership
</li><li>Translate complex analytics and AI concepts into clear, actionable executive communications
</li><li>Manage expectations, tradeoffs, and timelines in high visibility initiatives
</li></ul><br>
Performance, Outcomes &amp; Value Realization
<br>
<ul><li>Define KPIs, success metrics, and benefits realization plans for AI and analytics initiatives
</li><li>Track outcomes related to quality, efficiency, cost reduction, risk mitigation, and clinician experience
</li><li>Produce concise executive deliverables (issue briefs, decision memos, dashboards, outcome summaries)
</li></ul><br>
Team Development &amp; Continuous Improvement
<br>
<ul><li>Mentor Tiger Team analysts and leads in advanced analytics and AI delivery practices
</li><li>Promote repeatable playbooks, templates, and lessons learned from Tiger Team engagements<br>
</li></ul></div><p>Rush is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, and other legally protected characteristics.</p></div>

Dir AI Transformation

<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

Acosta Group

<div><p>Acosta Group is seeking a highly skilled and adaptable AI/ML Data Engineer to design, develop, deploy, and support AI-powered solutions that enhance Acosta&rsquo;s internal operations and decision-making capabilities. This role combines deep technical expertise with a strong focus on scalability, reliability, and integration across enterprise platforms such as Azure AI, Power Platform, and Copilot Studio.</p><p>
The ideal candidate will have hands-on experience with cloud platforms (preferably Azure), agentic frameworks (e.g., LangChain), Large Language Models (LLMs), and generative AI techniques including fine-tuning and Retrieval-Augmented Generation (RAG). Proficiency in Python and SQL is essential, along with a solid understanding of vector databases, semantic search, and dimensional data modeling. Experience with Databricks, serverless deployments (e.g., Azure Functions), containerization (Docker/Kubernetes), and CI/CD pipelines using Azure DevOps is highly valued.</p><p>
Beyond technical implementation, the AI Engineer will provide second- and third-level support, mentor business users and citizen developers, and collaborate with cross-functional teams to embed AI into business-critical workflows. The role also supports Acosta&rsquo;s broader AI initiatives by enabling infrastructure readiness, contributing to the AI Center of Excellence, and integrating intelligent automation tools across the enterprise.</p><p></p><p><br>
This is a <b>hybrid role</b> based in our office environment. Candidates will be expected to work as much as 3 days per week onsite depending on proximity to corporate hubs.</p><p>
Essential Functions of this Position</p><ul><li>
Design, develop, and deploy AI/ML models and intelligent automation solutions that support internal business operations and strategic initiatives</li><li>
API Development &amp; Integration: Ability to build and integrate REST/GraphQL APIs to serve AI/ML models.</li><li>
Vectorization &amp; Embeddings: Expertise in vector databases and semantic search.</li><li>
Collaborate with cross-functional teams to identify, scope, and implement AI use cases using tools such as Azure AI, Power Platform AI Builder, and Copilot Studio</li><li>
Integrate AI capabilities into enterprise applications and workflows, including Power Apps, Power Automate, and Microsoft 365</li><li>
Monitor and maintain AI solutions in production, ensuring performance, reliability, and responsible AI practices</li><li>
Provide second- and third-level support for AI-related incidents, enhancements, and deployments</li><li>
Partner with infrastructure and security teams to ensure readiness and compliance for AI workloads</li><li>
Contributes to the development of reusable AI components, templates, and frameworks to accelerate adoption</li><li>
Mentor and support business users and citizen developers in building and scaling AI-powered solutions</li><li>
Participate in the evaluation of new AI tools, platforms, and methodologies to support innovation and continuous improvement</li><li>
Document solution architectures, workflows, and best practices to support knowledge sharing and operational continuity</li><li>
Support the AI Center of Excellence by contributing to governance, enablement, and enterprise-wide AI strategy</li><li>
Maintain and enforce change control processes.</li><li>
Assist in developing and maintaining operational standards and best practices.</li><li>
Leverage AI and automation tools for proactive monitoring, anomaly detection, and incident response.</li><li>
Collaborate with AI Solutions Engineers and the AI Center of Excellence to support infrastructure for AI workloads and pilot initiatives.</li><li>
Ensure infrastructure readiness for hybrid cloud and AI platforms (e.g., Azure ML, VMware Private AI, NVIDIA AI Enterprise).</li><li>
Perform other duties as required and/or assigned.</li></ul><p>
Applicants must be <b>legally authorized to work in the United States and/or Canada</b> without the current or future need for <b>employer-sponsored work authorization</b>.</p><p>
Minimum Education and Work Experience</p><ul><li>
Bachelor&rsquo;s Degree in Technology Industry is preferred or equivalent work experience</li><li>
High School Diploma/ GED is required</li><li>
Two (2) or more years of professional experience in Machine Learning, Data Science, or Software Engineering.</li><li>
Microsoft Exam AI-102: Designing and Implementing an Azure AI Solutions (preferred).</li></ul><p>
Knowledge, Skills, and Abilities Requirements</p><ul><li>
Programming: Proficiency in Python (must) and SQL for data manipulation, querying, and automation.</li><li>
Data Warehousing: Solid understanding of data warehouse concepts, including dimensional modeling (fact and dimension tables).</li><li>
Agentic Frameworks: Knowledge of AI agent frameworks and orchestration (e.g., LangChain).</li><li>
LLMs &amp; Generative AI: Strong understanding of Large Language Models, fine-tuning, and RAG pipelines.</li><li>
Knowledge of machine learning fundamentals, including supervised and unsupervised learning, NLP, and generative AI</li><li>
Familiarity with MLOps practices and tools for model lifecycle management and monitoring</li><li>
Understanding of responsible AI principles, including fairness, transparency, and data privacy</li><li>
Ability to rapidly learn and apply new AI tools and frameworks in a fast-evolving technology landscape</li><li>
Experience with cloud-based development environments, particularly Microsoft Azure</li><li>
Ability to support AI solutions in production, including troubleshooting, performance tuning, and incident response</li><li>
 Excellent communication skills (both written and oral) combined with strong interpersonal skills.</li><li>
Strong analytical skills and thought processes combined with the ability to be flexible and work analytically in a problem-solving environment.</li></ul><p><br>
Physical Requirements</p><ul><li>
Seeing</li><li>
Listening</li></ul><p></p><p><br>
The incumbent(s) in this position should exhibit the following Acosta values:</p><ul><li>
People Minded &ndash; Must show dignity and respect to all people</li><li>
Integrity &ndash; Must exemplify the highest degree of ethical behavior</li><li>
Results Oriented &ndash; Must show passion, pride and commitment to succeed</li><li>
Trust &ndash; Must be honest, sincere and confident</li><li>
Teamwork &ndash; Must build trusting relationships</li><li>
Innovation &ndash; Must progress through a combination of creativity, common sense and vision</li><li>
Balance &ndash; Must maintain an optimistic attitude and keep perspective on what is important in life.</li></ul><div>
Acosta Group is a collective uniting the most trusted retail, marketing, and foodservice agencies&mdash;Acosta, ActionLink, CORE Foodservice, CROSSMARK, Mosaic, Premium Retail Services, and Product Connections. Together, we connect consumers with the brands they love through omnichannel selling, merchandising, brand advocacy, and integrated marketing.</div><br>
<div>
<br>
</div><div>We recognize our associates are the foundation of our success. That&rsquo;s why we prioritize your growth, development, and well-being to help you reach your full potential. With programs designed to support a fulfilling work-life balance, we offer opportunities that fit your lifestyle and ambitions&mdash;whether you&rsquo;re looking for part-time flexibility or full-time career advancement.</div><br>
<div>
<br>
</div><div>Ready for a career path that&rsquo;s as unique as you? Discover your path at Acosta Group!</div><br>
<div>
<br>
</div><div>Acosta Group is an equal opportunity employer and will ensure that applicants with disabilities are provided with reasonable accommodations. If reasonable accommodation is needed, please contact AskHR@acosta.com. Be sure to include &quot;Applicant Accommodation&quot; in the subject of your email to expedite the request.</div><br>
<div>
<br>
</div><div>Acosta Group believes in good faith that the minimum and maximum annual salary or hourly compensation range for this opportunity is accurate and reasonable at the time of posting.</div><div><br>
<br>
</div><div><p>The Acosta Group utilizes E-Verify for validating the ability to work in the United States for all job candidates. If you want more information on what this entails and your rights as a job applicant, please use the link provided to access information on our use of E-Verify and your right to work. Employer Resources (e-verify.gov)</p></div><div><br>
<br>
</div><div>By applying, you agree to our Privacy Policy and Terms and Conditions of Use.</div><br>
<div>
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</div><div><b>#DiscoverYourPath</b></div></div>

AI/Machine Learning Data Engineer

Expedia Group

<div><p>Expedia Group brands power global travel for everyone, everywhere. We design cutting-edge tech to make travel smoother and more memorable, and we create groundbreaking solutions for our partners. Our diverse, vibrant, and welcoming community is essential in driving our success.</p><p></p><p><b>
Why Join Us?</b></p><p>
To shape the future of travel, people must come first. Guided by our Values and Leadership Agreements, we foster an open culture where everyone belongs, differences are celebrated and know that when one of us wins, we all win.</p><p></p><p>
We provide a full benefits package, including exciting travel perks, generous time-off, parental leave, a flexible work model (with some pretty cool offices), and career development resources, all to fuel our employees' passion for travel and ensure a rewarding career journey. We&rsquo;re building a more open world. Join us.</p><p></p><p>
Expedia Group powers travel for everyone, everywhere. As AI becomes core to how travelers plan, book, and manage their trips, our ability to rapidly explore, prototype, and ship new AI capabilities becomes essential. You will help build the next generation of AI-powered experiences and the underlying patterns that ensure every experience meets a high standard of clarity, accuracy, and trust.</p><p>
Expedia Product &amp; Technology builds innovative products, services, and tools to deliver high-quality experiences for travelers, partners, and our employees. A singular technology platform powered by data and machine learning provides secure, differentiated, and personalized experiences for the traveler and our partners that drive loyalty and customer satisfaction.
</p><p>The core platform analytics and AI team builds AI and ML platform capabilities which help internal employee productivity use cases as well as support agentic experiences for our travelers and partners.</p><p><b>
In this role, you will:</b></p><ul><li>
Define and drive the long-term product vision, strategy, and roadmap for Expedia Group&rsquo;s AI and ML platforms, ensuring they enable reusable, scalable capabilities across multiple product domains and lines of business.</li><li>
Translate complex AI/ML platform opportunities into clear, prioritized problem statements and outcomes, aligning senior stakeholders across engineering, data science, product, and business teams.</li><li>
Partner with architecture, engineering, and data science leaders to guide system design, APIs, and data models for AI/ML platforms that are secure, compliant, observable, and easily consumable by product teams.</li><li>
Establish and own success metrics for AI/ML platform adoption and performance, using data and experimentation to refine capabilities and drive continuous improvement across services and domains.</li><li>
Champion safe, responsible, and high-impact use of AI, including familiarity with AI-driven systems, tools, or workflows and applying AI/ML concepts to real world products, ensuring they are integrated and operated in ways that improve customer and business outcomes.</li><li>
Serve as a cross-domain thought leader, identifying and evangelizing platform patterns and capabilities that unlock fungible AI/ML solutions usable by multiple teams, products, and experiences across Expedia Group.</li></ul><p></p><p><b>
Minimum Qualifications:</b></p><ul><li>
Bachelor&rsquo;s degree in computer science, Engineering, Mathematics, or a related technical field, or equivalent practical experience involving large-scale platforms or data-intensive systems.</li><li>
Extensive product management experience leading platform, data, or AI/ML products, including end-to-end ownership of multi-service or multi-domain capabilities in complex technical environments.</li><li>
Proven ability to work closely with engineering and data science teams on system design, API contracts, data modeling, and technical trade-offs for AI/ML or data platforms.</li><li>
Demonstrated track record of defining strategy, roadmaps, and measurable outcomes for technical platforms, and driving broad stakeholder alignment at the organizational level.</li><li>
Familiarity with AI-driven systems, tools, or workflows, and with safely integrating and operating AI/ML‑enabled solutions that improve outcomes for both internal and external customers.</li></ul><p></p><p><b>
Preferred Qualifications:</b></p><ul><li>
Advanced degree in a technical field (e.g., Computer Science, Machine Learning, Statistics, Operations Research) with experience applying these disciplines to large-scale product or platform initiatives.</li><li>
Deep experience building or product-managing AI/ML platforms, feature stores, model lifecycle tools, or inference/serving infrastructure that support high-volume, global consumer applications.</li><li>
Proven leadership driving architecture and product direction for complex technical platforms, including defining reusable APIs, shared data models, and governance frameworks that support multiple domains and organizations.</li><li>
Strong track record of operational excellence for AI/ML-enabled systems, including reliability, performance, observability, and safety, and the ability to use data, experimentation, and causal analysis to inform platform decisions.</li><li>
Demonstrated experience taking products from concept to scaled adoption, including AI/ML capabilities, with an additional focus on safely integrating and operating AI/ML‑enabled solutions that improve outcomes and setting AI strategy and guardrails appropriate to a distinguished-level product leadership role.</li></ul><p></p>
The total cash range for this position in Chicago is $278,500.00 to $390,000.00. Employees in this role have the potential to increase their pay up to $445,500.00, which is the top of the range, based on ongoing, demonstrated, and sustained performance in the role. The total cash range for this position in Seattle is $296,000.00 to $414,500.00. Employees in this role have the potential to increase their pay up to $473,500.00, which is the top of the range, based on ongoing, demonstrated, and sustained performance in the role. The total cash range for this position in Austin is $296,000.00 to $414,500.00. Employees in this role have the potential to increase their pay up to $473,500.00, which is the top of the range, based on ongoing, demonstrated, and sustained performance in the role. The total cash range for this position in San Jose is $323,000.00 to $452,500.00. Employees in this role have the potential to increase their pay up to $517,000.00, which is the top of the range, based on ongoing, demonstrated, and sustained performance in the role. The total cash range for this position in San Francisco is $323,000.00 to $452,500.00. Employees in this role have the potential to increase their pay up to $517,000.00, which is the top of the range, based on ongoing, demonstrated, and sustained performance in the role.<p></p><p>
Starting pay for this role will vary based on multiple factors, including location, available budget, and an individual&rsquo;s knowledge, skills, and experience. Pay ranges may be modified in the future.</p><p></p><p>
Expedia Group is proud to offer a wide range of benefits to support employees and their families, including medical/dental/vision, paid time off, and an Employee Assistance Program. To fuel each employee&rsquo;s passion for travel, we offer a wellness &amp; travel reimbursement, travel discounts, and an International Airlines Travel Agent (IATAN) membership. View our full list of benefits.</p><p></p><p><b>
Accommodation requests</b></p><p>
If you need assistance with any part of the application or recruiting process due to a disability, or other physical or mental health conditions, please reach out to our Recruiting Accommodations Team through the Accommodation Request.</p><p></p><p>
We are proud to be named as a Best Place to Work on Glassdoor in 2024 and be recognized for award-winning culture by organizations like Forbes, TIME, Disability:IN, and others.</p><p></p><p>
Expedia Group's family of brands includes: Brand Expedia&reg;, Hotels.com&reg;, Expedia&reg; Partner Solutions, Vrbo&reg;, trivago&reg;, Orbitz&reg;, Travelocity&reg;, Hotwire&reg;, Wotif&reg;, ebookers&reg;, CheapTickets&reg;, Expedia Group&trade; Media Solutions, Expedia Local Expert&reg;, CarRentals.com&trade;, and Expedia Cruises&trade;. &copy; 2024 Expedia, Inc. All rights reserved. Trademarks and logos are the property of their respective owners. CST: 2029030-50</p><p></p><p>
Employment opportunities and job offers at Expedia Group will always come from Expedia Group&rsquo;s Talent Acquisition and hiring teams. Never provide sensitive, personal information to someone unless you&rsquo;re confident who the recipient is. Expedia Group does not extend job offers via email or any other messaging tools to individuals with whom we have not made prior contact. Our email domain is @expediagroup.com. The official website to find and apply for job openings at Expedia Group is careers.expediagroup.com/jobs.</p><p></p>
Expedia is committed to creating an inclusive work environment with a diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, gender, sexual orientation, national origin, disability or age.</div>

Distinguished PM - AI and ML Platforms

Monks

<div><div><p>Please note that we will never request payment or bank account information at any stage of the recruitment process. As we continue to grow our teams, we urge you to be cautious of fraudulent job postings or recruitment activities that misuse our company name and information. Please protect your personal information during any recruitment process. While Monks may contact potential candidates via LinkedIn, all applications must be submitted through our official website (monks.com/careers).</p></div><h1 class="jobSectionHeader"><b>
Unisys OS 2200 Application Support Specialist</b></h1>
<h2 class="jobSectionHeader"><b>Location</b></h2>
<p>
Remote (USA) <i>Note: Must be a U.S. citizen or a green card holder residing in the US.</i></p>
<h2 class="jobSectionHeader"><b>
About the role:</b></h2>
<p>
We're looking for an OS 2200 Applications Support Specialist to join our team, providing critical support for a major manufacturing client's core business applications.</p>
<p>
This role offers an opportunity to work with time-tested enterprise systems and contribute to ongoing modernization efforts.</p>
<h2 class="jobSectionHeader"><b>
Responsibilities:</b></h2>
<ul><li>Help a team of specialists provide on-call response and support for the client's Unisys 2200 application environment.
<ul><li>We've got a flexible rotation schedule to ensure coverage while keeping our team happy</li>
</ul></li><li>Follow and execute against customer-defined policies for incident escalation, change control, testing, and promotion into production.</li>
<li>Perform monitoring of mainframe databases to ensure data integrity.</li>
<li>Triage and assess incidents, distinguishing between systems software issues and application anomalies or defects.</li>
<li>Implement approved corrections and coordinate with change control procedures for timely remedy installation.</li>
<li>Contribute to the ongoing documentation and expansion of the knowledge base.</li>
<li>Advise management on technical trends and potential impacts on the application environment.</li>
</ul><h2 class="jobSectionHeader"><b>Required Skills and Experience:</b></h2>
<p>
We're looking for someone with (minimum) 3+ years of experience in managing, servicing, and supporting OS 2200 applications in an enterprise environment.</p>
<p><b><i>
Must haves</i></b></p>
<ul>
<li>Working knowledge of Unisys 2200 applications development and operations. Familiarity with OS 2200 systems support principles is a plus.</li>
<li>Familiarity with the DMS-1100 database system and TIP transaction processing.</li>
<li>Knowledge of OS 2200 development tools, operational utilities, networking, and cross-platform integration.</li>
<li>Experience with the primary application technologies: COBOL and related development utilities. Experience with MASM (assembler) highly desirable.</li>
<li>Understanding of job control using Executive Control Language (ECL).</li>
<li>Ability to thrive under pressure to help remedy time-sensitive mission-critical issues</li>
<li>Great written and verbal communication skills, adapting comms as needed depending on the audience</li>
<li>Proficiency with data access methods, including DMS-1100, ISAM, and flat files.</li>
</ul>
<p><b><i>Nice-to-haves</i></b></p>
<ul>
<li>Familiarity with utilities related to development and operations: (SSG, CTS, DDP, FTP).</li>
<li>Ability to troubleshoot integration points with diverse external systems, such as VAX Shop Floor, Oracle ERP, Unix, Web/Java, and Windows platforms.</li>
</ul><h2 class="jobSectionHeader"><b>What We Offer</b></h2>
<p><i>
.Monks has provided a compensation range that represents its good faith estimate of what Media.Monks may pay for the position at the time of posting .Monks may ultimately pay more or less than the posted compensation range. The salary offered to the selected candidate will be determined based on job-related factors, but not based on a candidate's sex or any other protected status.</i></p><div><p><b>
About Monks</b></p>
<p>
Monks is the global, digital-first, data-driven, unitary operating brand of S4 Capital plc. With a legacy of innovation and specialized expertise, Monks combines an extraordinary range of global Marketing and Technology Services to redefine how brands interact with the world. Through Monks.Flow, its flagship AI ecosystem for marketing orchestration, Monks transforms marketing into a growth engine, collapsing timelines and connecting brands to culture in real time. By deploying bespoke intelligent agents across disciplines and delivering culturally relevant, high-impact creative and digital solutions, Monks solves key critical business challenges across the entire brand enterprise to help brands sustain long-term impact.</p><br>
<p></p>
<p>
Monks was named a Contender in The Forrester Wave&trade;: Global Marketing Services, ranks among Cannes Lions' Top 10 Creative Companies (2022-25) and remains the only partner featured in AdExchanger's Programmatic Power Players list every year (2020-24). Named Adweek's first AI Agency of the Year (2023) and The One Show's inaugural AI Pioneer Organization, Monks was also awarded Business Intelligence Group's 2025 Excellence in Artificial Intelligence Award in both the Organizational and AI Product categories. As a trusted partner to cutting-edge innovators in tech, Monks earned titles such as Optimizely Experimentation Partner of the Year (2025), runner-up for the Adobe Firefly Partner Award (2024), and Workato's AI Visionary Customer Impact Award (2024). Additionally, Monks achieved a record-breaking number of FWAs and continues to hold the most of any partner.</p><br>
<p></p>
<p>
We are an equal-opportunity employer committed to building a respectful and empowering work environment for all people to freely express themselves amongst colleagues who embrace diversity in all respects. Including fresh voices and unique points of view in all aspects of our business not only creates an environment where we can all grow and thrive but also increases our potential to produce work that better represents&mdash;and resonates with&mdash;the world around us.</p></div></div>

Unisys OS 2200 Application Support Specialist

Northwestern Medicine

<div>
 At Northwestern Medicine, every patient interaction makes a difference in cultivating a positive workplace. This patient-first approach is what sets us apart as a leader in the healthcare industry. As an integral part of our team, you'll have the opportunity to join our quest for better health care, no matter where you work within the Northwestern Medicine system. We pride ourselves on providing competitive benefits: from tuition reimbursement and loan forgiveness to 401(k) matching and lifecycle benefits, our goal is to take care of our employees. Ready to join our quest for better?
 <br/>
 <br/>
 <strong>
  Job Description
  <br/>
  <br/>
 </strong>
 <strong>
  This role will be responsible for check in and check out of 3 medical specialties clinics - rheumatology, infusion and endocrinology, as well as lunch/end of day coverage needs for our single PSR clinic, nephrology.
  <br/>
  <br/>
 </strong>
 The
 <strong>
  Patient Service Representative
 </strong>
 reflects the mission, vision, and values of NMHC, adheres to the organizations Code of Ethics and Corporate Compliance Program, and complies with all relevant policies, procedures, guidelines and all other regulatory and accreditation standards.
 <br/>
 <br/>
 The Patient Service Representative supports the service area by checking patients in and out of appointments. This role will consistently demonstrate exemplary customer service when assisting patients and guests.
 <br/>
 <br/>
 <strong>
  Responsibilities:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Communicates with patients and guests including greeting them upon arrival, confirming identity and providing necessary information related to their visit.
  </li>
  <li>
   Completes check-in/out functions as directed.
  </li>
  <li>
   Confirms and updates patient identification and demographic/insurance information.
  </li>
  <li>
   Completes patient registration as needed.
  </li>
  <li>
   Obtains patient consents/authorizations.
  </li>
  <li>
   Collects co-payments, past due balances and point of service payments.
  </li>
  <li>
   Posts payments, process billing information and perform &ldquo;end of day&rdquo; cash drawer closing.
  </li>
  <li>
   Keeps waiting area clean and comfortable.
  </li>
  <li>
   Informs patients of any delays or changes in appointment status.
  </li>
  <li>
   Schedules appointments as necessary.
  </li>
  <li>
   For PSRs in the Immediate Care Clinics (ICC), float to other ICCs/departments.
  </li>
  <li>
   May perform other duties as assigned.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Qualifications
  <br/>
  <br/>
 </strong>
 <strong>
  Required:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   High school diploma or GED equivalent.
  </li>
  <li>
   Zero (0) to two (2) years experience in a customer service position.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Preferred:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Bachelor's degree.
  </li>
  <li>
   Previous experience in a healthcare setting.
  </li>
  <li>
   Working knowledge of medical terminology.
  </li>
  <li>
   Bilingual.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Additional Information
  <br/>
  <br/>
 </strong>
 Northwestern Medicine is an equal opportunity employer (disability, VETS) and does not discriminate in hiring or employment on the basis of age, sex, race, color, religion, national origin, gender identity, veteran status, disability, sexual orientation or any other protected status.
 <br/>
 <br/>
 <strong>
  Background Check
  <br/>
  <br/>
 </strong>
 Northwestern Medicine conducts a background check that includes criminal history on newly hired team members and, at times, internal transfers. If you are offered a position with us, you will be required to complete an authorization and disclosure form that gives Northwestern Medicine permission to run the background check. Results are evaluated on a case-by-case basis, and we follow all local, state, and federal laws, including the Illinois Health Care Worker Background Check Act.
 <br/>
 <br/>
 <strong>
  Artificial Intelligence Disclosure
  <br/>
  <br/>
 </strong>
 Artificial Intelligence (AI) tools may be used in some portions of the candidate review process for this position, however, all employment decisions will be made by a person.
 <br/>
 <br/>
 <strong>
  Benefits
  <br/>
  <br/>
 </strong>
 We offer a wide range of benefits that provide employees with tools and resources to improve their physical, emotional, and financial well-being while providing protection for unexpected life events. Please visit our Benefits section to learn more.
 <br/>
 <br/>
 <strong>
  Sign-on Bonus Eligibility (if sign-on bonus offered for position):
 </strong>
 Internal employees and rehires who left Northwestern Medicine within 1 year are not eligible for the sign on bonus. Exception: New graduate internal employees seeking their first licensed clinical position at NM may be eligible depending upon the job family.
</div>


Patient Service Representative - Medical Specialties

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