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listing agent

The Saladino Sells Team

<div><h3 class="jobSectionHeader"><b>Summary</b></h3><p><b>
Job Summary</b><br>
We are seeking a driven and strategic <b>Real Estate Listing Specialist</b> to lead our seller representation initiatives across the Chicagoland area. In this critical role, you will act as a trusted consultant to homeowners, expertly guiding them through the sale of their most valuable asset. Your responsibilities will include delivering persuasive <b>Listing Presentations</b>, crafting and executing effective marketing plans using <b>MRED/ConnectMLS</b>, and negotiating contracts to secure the best possible sale results. If you bring strong marketing skills, deep knowledge of local market pricing, and a proven track record of closing deals, we encourage you to join our team.</p><p><b>
Key Responsibilities</b></p><ul><li><b>
Seller Consultation:</b> Conduct professional listing presentations that highlight our unique value proposition, assist sellers in developing pricing strategies, and create comprehensive &quot;go-to-market&quot; plans.
</li><li><b>Strategic Marketing:</b> Oversee all listing preparations, including coordinating professional photography, virtual staging, and launching targeted digital marketing campaigns to enhance property exposure.
</li><li><b>Market Analysis:</b> Perform detailed <b>Comparative Market Analyses (CMA)</b> to set competitive listing prices that align with current market trends and absorption rates in the Chicago region.
</li><li><b>Negotiation &amp; Closing:</b> Represent sellers during offer negotiations, inspections, and attorney reviews to protect their interests and ensure smooth transaction closings.
</li><li><b>Lead Generation:</b> Proactively generate new seller leads through networking, pursuing expired listings, and leveraging both personal and professional contacts to maintain a consistent inventory pipeline.</li></ul><p><b>
Qualifications</b></p><ul><li>
Active <b>Illinois Real Estate Broker License</b> (required).
</li><li>Proven success in real estate sales, particularly in seller representation.
</li><li>In-depth knowledge of Chicagoland neighborhoods and local housing market conditions.
</li><li>Strong presentation skills with the ability to clearly explain complex data such as CMAs to clients.
</li><li>Proficiency in <b>MRED</b>, social media marketing tools, and transaction management software.</li></ul><h3 class="jobSectionHeader"><b>
Responsibilities</b></h3><ul><li><b>
Market and stage properties for optimal presentation and increased buyer interest.</b></li><li><b>
Conduct thorough market analysis to determine competitive listing prices.</b></li><li><b>
Negotiate offers and counteroffers to achieve the best possible terms for clients.</b></li><li><b>
Coordinate and oversee property showings, open houses, and client meetings.</b></li><li><b>
Prepare and manage all necessary documentation, including contracts and disclosures.</b></li><li><b>
Maintain up-to-date knowledge of local real estate market trends and regulations.</b></li><li><b>
Provide exceptional customer service and support throughout the entire sales process.</b></li></ul><h3 class="jobSectionHeader"><b>
Qualifications</b></h3><ul><li><b>
Active Real Estate License</b> in the state of Illinois</li><li><b>
Proven experience</b> as a Listing Agent or similar role in real estate</li><li><b>
Strong knowledge</b> of the local real estate market and neighborhoods</li><li><b>
Excellent communication</b> and negotiation skills</li><li><b>
Ability to work independently</b> and as part of a team</li><li><b>
Proficient in real estate software</b> and MLS systems</li><li><b>
Strong organizational</b> and time-management skills</li><li><b>
Customer-focused</b> approach with a high level of professionalism</li><li><b>
Valid driver's license</b> and reliable transportation</li><li><b>
Ability to work flexible hours</b>, including evenings and weekends</li></ul><h3 class="jobSectionHeader"><b>
About-our-team</b></h3><p><b>
About Us</b></p><p>
The Saladino Sells Team is driven by PLACE, a cutting-edge business services and technology platform that revolutionizes the real estate industry for leading agents and their clients. By joining us, you'll benefit from in-house marketing and design services, daily live professional development sessions, and advanced technology that can streamline up to 75% of your daily tasks. We are committed to your future, offering numerous opportunities for both personal and professional growth. With our PLACE-powered team, you can expand your ambitions and achieve unparalleled success.</p></div>

Listing Agent

<div><h3 class="jobSectionHeader"><b>Summary</b></h3><p>
We are seeking an energetic <b>Realtor Partner</b> to become an integral part of our flourishing Chicago-based team. This distinctive partnership opportunity is designed for driven agents who want to grow their business by leveraging our comprehensive administrative support, advanced marketing resources, and state-of-the-art technology&mdash;while retaining the flexibility to represent <b>both buyers and sellers</b>. Instead of focusing on a single niche, you will serve as a versatile advisor, managing a diverse portfolio of listings and buyer needs across the Chicagoland region.</p><h3 class="jobSectionHeader"><b>
Key Responsibilities</b></h3><ul><li><b>
Dual Transaction Expertise:</b> Efficiently handle multiple transactions at once by acting as both the Listing Agent for sellers and the Buyer&rsquo;s Agent for buyers, frequently within the same deal.</li><li><b>
Lead Generation &amp; Business Growth:</b> Actively pursue new clients, build and nurture referral networks, and transform inbound leads generated by the team into lasting client relationships.</li><li><b>
Market Research &amp; Pricing Strategy:</b> Utilize <b>MRED/ConnectMLS</b> to create thorough Comparative Market Analyses (CMAs) that assist sellers in pricing competitively and guide buyers in making well-informed offers.</li><li><b>
Collaborative Teamwork:</b> Participate in weekly strategy meetings to exchange market knowledge, share exclusive &quot;pocket listings,&quot; and uncover cross-selling opportunities within our internal network.</li><li><b>
End-to-End Transaction Coordination:</b> Oversee the full transaction process from contract execution to closing, working closely with Chicago-area real estate attorneys, lenders, and inspectors to address any issues during attorney review and inspection periods.</li></ul><h3 class="jobSectionHeader"><b>
Qualifications</b></h3><ul><li>
Current <b>Illinois Real Estate Broker License</b>.</li><li>
In-depth familiarity with <b>Chicago neighborhoods</b> and nearby suburban markets.</li><li>
A genuine &quot;Partner&quot; mindset&mdash;eager to build and expand a business within a business, not merely occupy a position.</li></ul><h3 class="jobSectionHeader"><b>
Responsibilities</b></h3><ul><li><b>
Develop and maintain strong relationships</b> with realtors and real estate professionals to expand our network and drive business growth.</li><li><b>
Collaborate with the sales team</b> to create and implement effective strategies for increasing property listings and sales.</li><li><b>
Conduct market research</b> to stay informed about current real estate trends, pricing, and competition in the Chicago area.</li><li><b>
Organize and participate in networking events</b> and open houses to promote The Saladino Sells Team and attract potential clients.</li><li><b>
Provide exceptional customer service</b> to realtors and clients, ensuring a seamless and positive experience throughout the buying or selling process.</li><li><b>
Assist in the preparation of marketing materials</b> and presentations to effectively showcase properties and services.</li><li><b>
Monitor and report on partnership performance</b>, providing insights and recommendations for improvement to senior management.</li></ul><h3 class="jobSectionHeader"><b>
Qualifications</b></h3><ul><li><b>
Active real estate license in the state of Illinois</b></li><li><b>
Proven experience as a real estate agent or realtor</b></li><li><b>
Strong knowledge of the Chicago real estate market</b></li><li><b>
Excellent communication and negotiation skills</b></li><li><b>
Ability to work independently and as part of a team</b></li><li><b>
Proficient in using real estate CRM software and MLS systems</b></li><li><b>
Strong organizational and time-management skills</b></li><li><b>
Customer-focused with a commitment to providing exceptional service</b></li><li><b>
Ability to build and maintain strong client relationships</b></li><li><b>
Willingness to work flexible hours, including evenings and weekends</b></li><li><b>
Valid driver's license and reliable transportation</b></li></ul><h3 class="jobSectionHeader"><b>
About-our-team</b></h3><p>
We are a Top 1% team in the Chicagoland area powered by PLACE, a broker-agnostic business services and technology platform transforming the industry for top agents and their customers. Join and gain in-house marketing and design services, daily live professional development opportunities, superior technology that eliminates up to 75% of daily tasks, and more. We invest in your future by providing opportunities for personal and professional growth, so you can dream bigger while gaining exponential leverage and success within our powered by PLACE team.</p></div>

Realtor Partnership

Andersen

<div>Application Notice:
<div>
We encourage you to apply thoughtfully by selecting one position that best matches your qualifications and interests. You may submit up to two active applications at a time. Please consider your location choice carefully&mdash;we recommend applying where you envision building your future.</div>
The Firm:
<div><b>
A New Era of AI-Driven, Multidimensional Consulting</b></div><div></div><div><br>
Today&rsquo;s businesses face complex global challenges that demand more than conventional consulting services. Andersen Consulting offers a seamless, multidimensional approach that combines expertise in business transformation, artificial intelligence, cybersecurity, sustainability, and digital strategy with Andersen Global&rsquo;s established tax and legal capabilities. This integration of emerging technologies positions Andersen Consulting as the partner of choice in the $1 trillion consulting industry.</div>
The Role:
<p>
At Andersen Consulting, AI/LLMOps FDEs own the technical delivery of production AI systems end-to-end and sit across the table from engineering teams at global enterprises. The practice is early. The engineers who join now will define its architecture, its standards, and what world-class AI delivery looks like for clients who trust us with their most consequential systems.</p><p>
Enterprise AI programs follow a predictable arc: a successful POC, a budget approval, and then months of stalled production work before the initiative quietly dies. The gap between a notebook that impresses stakeholders and a system that runs the business under real enterprise load is an engineering problem. Its name is LLMOps.</p><p>
LLMs have been serious enterprise tools for roughly three years. We are not looking for someone who has mastered a stable field. We are looking for someone who has been in the room while the field was being invented: someone who built RAG pipelines that broke in production, debugged agent loops that silently degraded after staging, and designed eval suites from scratch because nothing off the shelf measured what actually mattered.</p><p><b>
What You'll Do</b></p><p>
Day-to-day, you embed directly with client teams and own a defined technical workstream from design through production:</p><ul><li>
Design and deploy RAG pipelines using pgvector, Pinecone, Qdrant, or Weaviate, with deliberate chunking strategies, hybrid search, and re-ranking layers.</li><li>
Build multi-step agent workflows using LangChain, LangGraph, LlamaIndex, or the Anthropic Claude SDK, with tool use, structured outputs, and memory.</li><li>
Implement guardrails at the correct system boundary: output schema enforcement, PII detection, content filtering, and agent behavior constraints calibrated for each client's regulatory context.</li><li>
Design eval suites in using off-the-shelf tools or custom Python harnesses that measure retrieval quality, answer faithfulness, hallucination rates, and latency under load.</li><li>
Instrument observability from day one: LLM call latency, retrieval quality metrics, agent decision traces, cost per query.</li><li>
Write production Python: typed, tested, linted, and deployable by another engineer.</li><li>
Deploy and serve models on AWS (Bedrock, SageMaker, EKS), Azure (Azure OpenAI Service, AKS), or GCP (Vertex AI, GKE) under latency-sensitive enterprise conditions.</li><li>
Treat prompt and context engineering as an engineering discipline: versioned system prompts, few-shot libraries, chain-of-thought elicitation, and context window budgeting, all of it tracked, tested, and iterated rather than adjusted informally.</li><li>
Build and deploy MCP servers to expose enterprise data sources, internal APIs, and tools to LLM agents in a standardized, auditable way.</li><li>
Contribute reusable accelerators, reference architectures, and internal tooling during bench time. Every asset you build should make the next engagement start faster</li><li>
Travel is a real part of this role. Client work regularly requires on-site presence during discovery, architecture reviews, and go-live.
</li></ul><p><b>What You'll Build</b></p><ul><li>
Production RAG pipelines with hybrid search, re-ranking, and query-time monitoring, designed to hold up under real query distributions and corpus drift, not just benchmark datasets.</li><li>
Multi-step agent orchestration systems with tool use, memory, and structured output validation, built to be reliable at enterprise load, not just demonstrable in a demo environment.</li><li>
Eval frameworks designed from scratch to measure what the client's system actually needs to get right: faithfulness, groundedness, latency percentiles, and failure mode frequency.</li><li>
Guardrail infrastructure positioned correctly in the call stack: input validation, output schema enforcement, and behavioral constraints for the specific regulatory context of each engagement.</li><li>
Observability stacks instrumented at the LLM call, retrieval, and agent decision layer, giving clients operational visibility instead of log files they can't act on.</li><li>
MCP servers exposing internal enterprise systems (databases, document stores, internal APIs) to LLM agents through a standardized, auditable interface.</li><li>
CI/CD pipelines for LLM systems with automated eval runs on prompt changes, model version regression testing, and deployment gating before anything reaches production.</li></ul>
The Requirements:
<ul><li>7+ years of total experience in data engineering, MLOps, software engineering, or closely adjacent infrastructure roles, with evidence of end-to-end ownership: architecture through production, including the post-launch work.</li><li>
2&ndash;3 years of LLM-specific engineering experience is credible at this level. That is the ceiling given when the field started, not a floor. What distinguishes senior candidates is judgment: knowing when an agent architecture is the right tool, how to design for observability before it is needed, and how to have the hard conversation when a POC is not production-ready.</li><li>
Production Python. Typed, tested, and structured for multi-engineer deployment. We will ask about your testing practices and code review standards.</li><li>
At least one production LLM system shipped: a RAG pipeline, agent workflow, or LLM-powered application that handled real enterprise load, not just internal demos. The key question is what broke after launch and what you did about it.</li><li>
Hands-on vector retrieval experience with pgvector, Pinecone, Qdrant, Weaviate, or Chroma, including hybrid search design, embedding quality diagnosis, and re-ranking strategy selection, not just initial setup.</li><li>
Working knowledge of at least one agentic SDK (Anthropic Claude SDK, LangChain, LangGraph, LlamaIndex, or OpenAI SDK) in a non-trivial use case involving tool use, memory, or structured output handling.</li><li>
Cloud AI infrastructure depth in at least one of AWS (Bedrock, SageMaker, EKS), Azure (Azure OpenAI Service, AKS), or GCP (Vertex AI, GKE).</li><li>
LLM observability experience: you have instrumented a system before, not just read the documentation.</li><li>
Enough communication clarity to explain an architecture decision to an engineering team and a business stakeholder in the same meeting. These are client-facing roles.</li><li>
Travel up to 50%</li></ul><p><b>
Preferred Qualifications</b></p><ul><li>
Model serving experience in latency-constrained environments.</li><li>
Guardrail implementation experience in regulated data contexts: PHI, PII, or MNPI.</li><li>
RAGAS or custom eval harness experience.</li><li>
MCP server development. Still rare enough that hands-on experience is high signal.</li><li>
Palantir Foundry or AIP experience, a meaningful differentiator as Andersen's Palantir practice scales alongside the LLMOps practice.</li><li>
Prior client-facing or consulting experience. FDEs who understand stakeholder management and expectation-setting ramp faster and derisk engagements earlier.</li><li>
Domain exposure in financial services (insurance, reinsurance, credit), healthcare, supply chain, or manufacturing.</li></ul><div><b>
Compensation and Benefits</b></div><div><br>
Our firm offers a competitive base salary and comprehensive benefits package designed to support the well-being, growth, and long-term success of our people. We are committed to recognizing individual contributions and providing resources that enable our employees to thrive both personally and professionally.</div><div></div><div><b><br>
Salary Range</b>: For individuals hired to work in Chicago, the expected salary range for this role is $195,875 - 266,171. Actual compensation will be determined based on the candidate&rsquo;s qualifications, experience, and skill set.</div><div></div><div><b><br>
Benefits</b>: Employees (and their families) are eligible for medical, dental, vision, and basic life insurance coverage. Employees may enroll in the firm&rsquo;s 401(k) plan upon hire. We offer 200 hours of paid time off annually, along with twelve paid holidays each calendar year. For a full listing of benefit offerings, please visit https://www.andersen.com/careers.</div><div><br>
</div><div><i>Applicants must be currently authorized to work in the United States on a full-time basis upon hire. Andersen will not consider candidates for this position who require sponsorship for employment visa status now or in the future (e.g., H-1B status).</i></div><div><i><br>
Andersen Tax is an equal opportunity employer committed to fostering an inclusive workplace. We evaluate all applicants and employees without regard to race, color, religion, national origin, ancestry, sex (including pregnancy, childbirth, and related medical conditions), sexual orientation, gender identity or expression, age, disability, genetic information, marital status, military or veteran status, or any other characteristic protected under applicable federal, state, or local law. All qualified applicants, including those with criminal histories, will be considered in a manner consistent with applicable law. We provide reasonable accommodations to qualified individuals with disabilities as required by law.</i></div><div></div><div><b><br>
ANDERSEN TAX LLC NOTICE FOR JOB</b> APPLICANTS</div></div>

Manager - AI/LLMOps Forward Deployed Engineer

Wasserman Media Group LLC

<div><p><b>MUSIC&middot;TEAM is a leading global agency representing prominent artists across all genres for live performance, touring, brand partnerships, and beyond. We are long-term career development strategists who work with artists to expand their reach and deepen their impact with audiences around the world.<br>
</b></p><p></p><p><b>MUSIC&middot;TEAM is part of THE&middot;TEAM. THE&middot;TEAM </b><b>operates at the epicenter of sports, music and entertainment, serving talent, brands and properties on a global scale. Headquartered in Los Angeles, THE&middot;TEAM </b><b>'s </b><b>presence spans 28 countries and more than 70 cities, including New York, London, Nashville, Chicago, Abu Dhabi, Amsterdam, Hong Kong, Madrid, Mexico City, Toronto, Paris and Sydney. For more information, please visit </b><b>the.team
</b></p><p></p><div><p>An Assistant is responsible for performing a variety of administrative tasks to provide support to the agent in client and internal matters.
</p><p></p><p>This role will be in-person based out of our Chicago, IL office.
</p><p></p><p>RESPONSIBILITIES
</p><ul><li>Maintain accuracy of artist contact record and deal memos in booking system.
</li><li>Update client bios, riders, and ad mats.
</li><li>Enter offers and related show details into the booking system.
</li><li>Liaise with relevant teams to complete show-related administration.
</li><li>Issue contracts for confirmed performances.
</li><li>Track unreturned contracts; chase signed contracts.
</li><li>Flag/review/address contract markups.
</li><li>Create and issue artist itineraries when necessary.
</li><li>Organize and execute announces and on sales.
</li><li>Request, report, and/or review ticket counts for confirmed events.
</li><li>Create and send invoices for show-related payments (deposits, balances, etc).
</li><li>Track unpaid deposits and balances; liaise with accounting team to ensure funds are received and allocated on time.
</li><li>Track, collect, and enter finals; notify accounting team to generate statement(s).
</li><li>Coordinate with accounting team to update client tax information and payment information.
</li><li>Manage work visa process for clients (immigration itineraries).
</li><li>Coordinate with operations team for client on/off boarding.
</li><li>Set and confirm meetings; maintain agent calendar and internal artist calendar.
</li><li>Manage inbound phone calls on behalf of agents.
</li><li>Book agent business travel as necessary.
</li><li>Submit agent expense reports.
</li><li>Take on additional tasks and responsibilities as assigned.
</li></ul><p></p><p>The ideal candidate has:
</p><ul><li>1&ndash;2+ years of administrative or assistant experience, ideally in the music, entertainment, or agency space.
</li><li>Strong organizational skills with the ability to manage multiple priorities in a fast-paced environment.
</li><li>Detail-oriented and highly accurate with data entry and documentation.
</li><li>Excellent written and verbal communication skills.
</li><li>Professionalism and discretion when handling sensitive information.
</li><li>Proactive problem-solver who can anticipate needs and follow through.
</li><li>Comfortable with booking systems, CRM tools, and Microsoft Office/Google Workspace.
</li><li>Flexible, adaptable, and ready to take on varied tasks.
</li></ul><p></p><p>BASE SALARY : $47,500 plus potential for discretionary bonus.
</p><ul><li>Actual base salary is dependent on several factors including but not limited to; market dynamics, location and region, experience, specialized skills/training (education), level of responsibility, budgetary considerations, tenure at the company (for current employees), etc. The salary range listed is just one component of the total compensation package for employees. Compensation decisions are dependent on circumstances of each role.
</li></ul></div><p></p><p><i>THE&middot;TEAM does not discriminate on the basis of race, sex, color, religion, age, national origin, marital status, disability, veteran status, genetic information, sexual orientation, gender identity or any other reason prohibited by law in provision of employment opportunities and benefits.</i></p></div>

Assistant, Music

84.51°

<div><div><p><b>84.51&deg; Overview:</b></p>
<p>
84.51&deg; is a retail data science, insights and media company. We help The Kroger Co., consumer packaged goods companies, agencies, publishers and affiliates create more personalized and valuable experiences for shoppers across the path to purchase.</p>
<p>
Powered by cutting-edge science, we utilize first-party retail data from more than 62 million U.S. households sourced through the Kroger Plus loyalty card program to fuel a more customer-centric journey using 84.51&deg; Insights, 84.51&deg; Loyalty Marketing and our retail media advertising solution, Kroger Precision Marketing.</p>
<p><i>
84.51&deg; follows a 5‑day in‑office work schedule to support collaboration, alignment, and team connection.</i></p>
<p>
Join us at 84.51&deg;!</p>
<p>
__________________________________________________________</p></div><p></p><h1 class="jobSectionHeader"><b><br>
Senior Data Scientist Consultant, SPI &ndash; Agent Platform Team</b></h1>
<h2 class="jobSectionHeader"><b>Summary</b></h2>
<p>
The Agent Platform Team, within AI Enablement at 84.51&deg;, owns and manages the core platforms that power data science and AI across the organization. This role sits on the <b>SPI (Science Platform Innovation) squad</b> and is focused specifically on the <b>Databricks environment</b> and its evolving AI/ML capabilities.</p>
<p>
You will be the bridge between the engineers building and maintaining our Databricks platform and the data scientists who use it every day. You are not building models for end-clients. Instead, you ensure the platform behaves as expected for the people on it&mdash;that new capabilities are tested, documented, and adopted smoothly, and that practitioner pain points make it back to the platform team in a way that shapes the roadmap.</p>
<p>
You'll build deep familiarity with Databricks' infrastructure and AI powered capabilities &mdash;including Genie Code, Genie spaces, Agent Bricks, MLflow, and other features as they emerge&mdash;as well as the Unity Catalog governance layer that underpins them. You'll test and evaluate new Databricks features and relevant third-party integrations from the perspective of an end-user, document your findings, and help the team decide what to adopt, how to roll it out, and what to skip.</p>
<p>
This is a small, highly collaborative squad. Everyone pitches in on a bit of everything. Priorities shift frequently as the Databricks roadmap evolves. Success in this role is less about fixed technical expertise and more about comfort with ambiguity, good judgment about where to spend your time, and the ability to influence without direct authority.</p>
<h2 class="jobSectionHeader"><b>
Responsibilities</b></h2>
<ul><li><b>Voice of the practitioner:</b> Serve as the primary liaison between data scientists using Databricks and the platform engineering team. Gather requirements, surface pain points, and translate practitioner needs into actionable feedback that shapes platform decisions and roadmaps.</li>
<li><b>Technology evaluation:</b> Lead the testing and evaluation of new Databricks capabilities (e.g., Mosaic AI features, Model Serving enhancements, Genie, new Unity Catalog functionality) and relevant third-party tools. Document findings, recommended use cases, limitations, and rollout considerations. Over time, this may evolve from hands-on beta testing toward designing and coordinating evaluation efforts across groups of practitioners.</li>
<li><b>Onboarding &amp; enablement:</b> Write guides, maintain documentation, lead training sessions, and run office hours to help data scientists adopt new platform capabilities. Partner with Learning &amp; Development where appropriate. Serve as a first line of support when teams hit roadblocks.</li>
<li><b>Adoption &amp; communication:</b> Evangelize Databricks capabilities to increase awareness and drive adoption. Produce clear release notes, communications, and materials for both technical and non-technical audiences.</li>
<li><b>Cross-functional collaboration:</b> Work closely with the solution architect, cloud engineer, and product senior on the squad to ensure proposed technologies have well-defined use cases and that guidelines and best practices are established. Act as a data science ambassador to cross-functional teams, explaining recommended workflows and the reasoning behind platform choices.</li>
<li><b>Governance &amp; compliance support:</b> Help validate that new platform capabilities meet enterprise requirements around security, compliance, observability, and data governance (e.g., Unity Catalog lineage, Azure connectivity).</li>
</ul><h2 class="jobSectionHeader"><b>Qualifications &amp; Experience</b></h2>
<ul><li>Bachelor's degree in mathematics, statistics, computer science, economics, or a related discipline.</li>
<li>2&ndash;4 years of experience in data science, AI/ML development, or applied analytics.</li>
<li>2&ndash;4 years of experience in tech consulting, retail analytics, or related professional services.</li>
<li>Hands-on experience with <b>Python, SQL, and PySpark</b>.</li>
<li>Experience gathering user needs, documenting requirements, and driving issues to resolution with technical teams.</li>
<li>Experience partnering with software engineering and/or product management teams.</li>
<li>Familiarity with LLMs, prompt engineering, or agentic AI concepts is a strong plus.</li>
<li>Experience with the Databricks ecosystem (Unity Catalog, MLflow) is a strong plus.</li>
<li>Exposure to agent frameworks (e.g., LangChain, LangGraph, CrewAI, AutoGen) is a plus.</li>
</ul><h2 class="jobSectionHeader"><b>Skills</b></h2>
<ul><li>Strong written and verbal communication, including the ability to explain technical concepts clearly to non-technical audiences and produce high-quality documentation.</li>
<li>Ability to influence across teams and seniority levels without direct authority.</li>
<li>Comfort operating in ambiguity&mdash;priorities shift frequently, and you need good instincts about where to focus.</li>
<li>Strong project and time management skills; able to manage multiple priorities with minimal oversight.</li>
<li>Curiosity and enthusiasm for emerging AI technologies and a genuine desire to become a subject matter expert on the Databricks platform and its AI capabilities.</li></ul><br>
<p></p>
<p>
#LI-SSS</p></div>

Senior Data Scientist Consultant - Agentic Platform (P2393)

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

GF Hotels & Resorts

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 We are searching for an enthusiastic, service-focused hotel front desk agent to join our guest services team. You&rsquo;ll welcome guests, manage accounts, answer inquiries and field complaints to ensure we deliver an excellent experience to every guest. You will bring excellent communication skills and a passion for putting our guests first. If you love interacting with people in a positive work environment, apply now!
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  Compensation:
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 $25 per hour
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Hotel Front Desk Agent

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