applied ai/ml - vice president Jobs in Chicago

applied ai/ml - vice president

data engineer (manager)

data engineering manager

full stack .net technical lead Jobs in Chicago

full stack .net technical lead

machine learning platform engineer Jobs in Chicago

machine learning platform engineer

machine learning tech lead

Crowe LLP

<div><p><b>Your Journey at Crowe Starts Here:</b></p><p>
At Crowe, you can build a meaningful and rewarding career. With real flexibility to balance work with life moments, you&rsquo;re trusted to deliver results and make an impact. We embrace you for who you are, care for your well-being, and nurture your career. Everyone has equitable access to opportunities for career growth and leadership. Over our 80-year history, delivering excellent service through innovation has been a core part of our DNA across our audit, tax, and consulting groups. That&rsquo;s why we continuously invest in innovative ideas, such as AI-enabled insights and technology-powered solutions, to enhance our services. Join us at Crowe and embark on a career where you can help shape the future of our industry.</p><p></p><p><b>
Job Description:</b></p><div><p><b>
Machine Learning Tech Lead</b></p></div><p>
Job Description&lt; &gt;Team: AI ProductsLocation: Chicago, Indianapolis, or RemoteReports To: Thomas CallaghanLevel: Manager<b>We foster good science</b>. You are given the time and resources to build your expertise in your project and beyond; you will guide fellow MLEs and product stakeholders through your work.<b>We want to make good scientists better</b>. MLEs have plenty of options on the job market. We want to be one of the best. We have regular ethics and book club meetings, monthly lightning talks where team members teach each other, support for conferences, and weekly &ldquo;10P&rdquo; independent time for ongoing learning. <b>We truly value work-life balance. </b>Our distributed team offers unlimited PTO and a flexible work-from-home policy. As a Tech Lead in AI Products, your responsibilities will vary across the development lifecycle, and include providing solutions architecture and vision for existing solutions, supporting new feature development and testing, and preparing for release of high-quality, deployment-ready code.AI Product Tech Leads must have strong stakeholder-facing skills to translate business problems into AI solution designs, reference architectures, and implementation roadmaps.AI Product Tech Leads are responsible for architecting the transition of AI projects from Proof of Concept to robust, production-ready solutions that transform our business offerings. Conduct lightweight sprint planning and review sessions, prioritizing features and managing project timelines.Write, review, and ensure the quality of production-ready code, setting high standards for the team.You seek deep understanding and take ownership of the impact your technical decision-making has on driving costs for the firm and/or clients.Oversee the implementation of testing protocols, including smoke tests and unit tests, to maintain high-quality outputs, in collaboration with members of the AI Platform and Infrastructure engineers.Prepare and refine Service Level Agreements (SLAs) and release documentation in preparation for production deployment; collaborate with Enablement team to create user upskilling materials that support effective use and drive adoption of AI solutions and latest features.Lead ethical reviews and risk/security evaluations to ensure compliance and safeguard our solutions.Engage with business stakeholders and proactively identify big picture improvements that benefit the client, product, and/or development team.Act as a career coach, fostering the growth and development of 3+ team members through knowledge-sharing, constructive code review, and by setting the standard for code quality and research best practices.Willingness to travel domestically to meet client needs<b>Programming experience</b>. You&rsquo;re experienced writing scalable, production-level code in Python. You&rsquo;re familiar with Linux/UNIX systems.<b>Machine learning experience</b>. You&rsquo;re proficient in machine learning packages, such as Tensorflow and Pytorch, and have proven expertise in designing/developing AI/ML models. You understand the mechanics of supporting ML solutions in a production environment and can help develop/maintain tests that validate functionality and evaluate model performance.<b>GenAI Experience</b>. Experience designing and implementing AI agents using large language models (LLMs), including prompt engineering, tool use, memory, and multi-agent orchestration patterns. Proficiency with modern AI/ML frameworks, tools, and agent platforms (e.g. MCP, A2A, Microsoft Foundry, OpenAI Agent SDK, Semantic Kernel, LangChain, LlamaIndex, Microsoft Copilot Studio, or equivalent). Knowledge of retrieval-augmented generation (RAG), vector databases, embeddings, and techniques for grounding model outputs in enterprise data.<b>Software Experience</b>. You&rsquo;re familiar with the software development lifecycle, and ideally tenets of MLOps. You have exposure to CI/CD frameworks and tools like Docker and Git. You&rsquo;re experienced deploying code in production environments.<b>AI-Assisted Software Engineering</b>: Demonstrated ability to embrace and advocate for AI-assisted software engineering practices, including the effective use of coding assistants (e.g. Claude Code), automated testing, and design-time AI tools to accelerate solution design, improve quality, and enhance developer productivity.<b>Communication.</b> Excellent communication skills, capable of effectively documenting and summarizing technical details for non-technical stakeholders.<b>Agile experience. </b>You&rsquo;re experienced attending Scrum or Kanban meetings; you favor incremental, iterative improvements through regular releases, testing, and monitoring.<b>AI Agent Experience</b>. Familiarity with evaluation, monitoring, and observability of AI agents, including guardrails, hallucination mitigation, and human-in-the-loop designs. Ability to translate business requirements into agent behaviors, decision logic, and measurable performance outcomes. Proven ability to design end-to-end AI architectures that integrate agents with enterprise systems (ERP, CRM, data platforms, APIs) using scalable, secure integration patterns.<b>Cloud Experience:</b> Experience designing and deploying AI/ML solutions on major cloud platforms (AWS, Azure, and/or GCP), including the use of managed AI services, cloud-native integration patterns, scalable data architectures, and secure, enterprise-grade deployments.<b>Knowledge sharing. </b>You enjoy sharing what you learn, whether by offering cross-training opportunities, giving internal team &ldquo;lightning talks,&rdquo; or by writing detailed comments on tickets when you close them.<b>Curiosity about AI and machine learning</b>. You want to stay fresh in AI and machine learning. You demonstrate curiosity and continuous learning mindset in Generative AI and applied machine learning, with an interest in staying current on emerging models, architectures, and techniques, including engaging with original research, technical papers, and pre-release concepts before they are broadly commercialized<b>Professional Services experience. </b>You&rsquo;re familiar with the landscape of a professional services firm and interested in engaging with the unique value proposition of products associated with a diverse range of services, from advising and consulting to tax and public accounting.</p><p></p><p>
We expect the candidate to uphold Crowe&rsquo;s values of Care, Trust, Courage, and Stewardship. These values define who we are. We expect all of our people to act ethically and with integrity at all times.</p><p></p><p>
In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire. Crowe is not sponsoring for work authorization at this time.</p><p></p>
The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Crowe, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $126,500.00 - $299,500.00 per year.<p></p><p><b>
Our Benefits:</b><br>
Your exceptional people experience starts here. At Crowe, we know that great people are what makes a great firm. We care about our people and offer employees a comprehensive total rewards package. Learn more about what working at Crowe can mean for you!<br>
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<b>How You Can Grow:</b><br>
We will nurture your talent in an inclusive culture that values diversity. You will have the chance to meet on a consistent basis with your Career Coach that will guide you in your career goals and aspirations. Learn more about where talent can prosper!<br>
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<b>More about Crowe:</b><br>
Crowe (www.crowe.com) is one of the largest public accounting, consulting and technology firms in the United States. Crowe uses its deep industry expertise to provide audit services to public and private entities while also helping clients reach their goals with tax, advisory, risk and performance services. Crowe is recognized by many organizations as one of the country's best places to work. Crowe serves clients worldwide as an independent member of Crowe Global, one of the largest global accounting networks in the world. The network consists of more than 200 independent accounting and advisory services firms in more than 130 countries around the world.<br>
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Crowe LLP provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, sexual orientation, gender identity or expression, genetics, national origin, disability or protected veteran status, or any other characteristic protected by federal, state or local laws.</p><p></p><p>
Crowe LLP does not accept unsolicited candidates, referrals or resumes from any staffing agency, recruiting service, sourcing entity or any other third-party paid service at any time. Any referrals, resumes or candidates submitted to Crowe, or any employee or owner of Crowe without a pre-existing agreement signed by both parties covering the submission will be considered the property of Crowe, and free of charge.</p><p></p>
Crowe 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.<p></p><p>
Please visit our webpage to see notices of the various state and local Ban-the-Box laws and Fair Chance Ordinances, where applicable.</p></div>

Machine Learning Tech Lead

JPMorganChase

<div><b>JOB DESCRIPTION</b><p><br>
Are you looking for an exciting opportunity to solve exciting business problems? Our Technology team builds innovative products, services, applications to support various business functions, workflows of Wholesale Lending Services.</p><p>
As an Applied AI/ML Lead in our Technology team, you will play a crucial role in analyzing business problems, experimenting with state-of-the-art models, and developing machine learning and deep learning solutions. You will use your knowledge of ML toolkit and algorithms to deliver the right solution. You will be a part of an innovative team, working closely with our product owners, data engineers, and software engineers to build new systems. We are looking for someone with a passion for data, ML, and Software Development, who can understand the data landscape in large and complex organizations.</p><p>
<b>Job Responsibilities</b></p><ul><li>
Lead programs and provide directions to successfully implement the large AI/ML initiatives</li><li>
Assist product leadership in defining the problem statements, execution roadmap</li><li>
Develop state-of-the art machine learning models to solve real-world problems and apply it to tasks such as NLP, personalization, or recommendation systems.</li><li>
Collaborate with business, operations, and other technology colleagues to understand AI needs and devise possible solutions.</li><li>
Develop end-to-end ML/AutoML/AutoNLP pipelines and operationalize the end-to-end orchestration of the ML models to support the various use cases like Document Q&amp;A, Search, Information Retrieval, classification, personalization, etc.</li><li>
Build both batch and real-time model prediction pipelines with existing application and front-end integrations.
</li><li>Collaborate to develop large-scale data modeling experiments, Explain complex concepts to senior funders and stakeholders.</li><li>
Collaborate with multiple partner teams such as Business, Technology, Product Management, Legal, Compliance, Strategy and Business Management to deploy solutions into production.</li><li>
Work with Product Owners and Software Engineers to productionize the models and Partners closely with business partners to identify impactful projects, influence key decisions with data, and ensure client satisfaction.</li></ul><p>
</p><p><b>Required qualifications, capabilities, and skills.</b></p><ul><li>
BS or MS or PhD in Computer Science or Data Science or Statistics or Mathematical sciences or Machine Learning. Strong background in Mathematics and Statistics.
</li><li>At least 7 years&rsquo; experience in applying data science, ML techniques to solve business problems and one of the programming languages like Python, Java, C/C++, etc.</li><li>
Experience with LLMs and Prompt Engineering techniques.</li><li>
1+ year of experience working with Gen AI solutions / LLMs such as GPT, Claude, Llama etc.</li><li>
Solid background in NLP, Generative AI and hands-on experience and solid understanding of Machine Learning and Deep Learning methods and familiar with large language models</li><li>
Extensive experience with Machine Learning and Deep Learning toolkits (e.g.: Transformers, Hugging Face, TensorFlow, PyTorch, NumPy, Scikit-Learn, Pandas)</li><li>
Ability to design experiments and training frameworks, and to outline and evaluate intrinsic and extrinsic metrics for model performance aligned with business goals.</li><li>
Experience with Big Data and scalable model training and solid written and spoken communication to effectively communicate technical concepts and results to both technical and business audiences.</li><li>
Experience with building and deploying ML models on AWS esp. using AWS tools like Sagemaker, EC2, Glue, etc.</li><li>
Have good understanding about the Active Learning, Agent/Multi Agent Learning, Learning from Supervision/Feedback, etc. Scientific thinking with the ability to invent and to work both independently and in highly collaborative team environments.</li><li>
Ability to work on tasks and projects through to completion with limited supervision. Passion for detail and follow through. Excellent communication skills and team player</li></ul><p>
</p><p><b>Preferred qualifications, capabilities and skills</b></p><ul><li>
Published research in areas of Machine Learning, Deep Learning or Reinforcement Learning at a major conference or journals</li><li>
Experience with A/B experimentation and data/metric-driven product development</li><li>
Ability to develop and debug production-quality code. Familiarity with continuous integration models and unit test development</li></ul>
<b>ABOUT US</b><br>
<div>
<div>JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world&rsquo;s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.
</div><p></p><div><p>We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
</p><div><p>We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants&rsquo; and employees&rsquo; religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.</p>
<p>JPMorgan Chase &amp; Co. is an Equal Opportunity Employer, including Disability/Veterans</p><br>
</div></div></div><br>
<br>
<b>ABOUT THE TEAM</b><br>
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J.P. Morgan&rsquo;s Commercial &amp; Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial &amp; Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.</div>

Applied AI/ML - Vice President

Outlier

<div>
 *Earn up to $16 USD/hourly and work remotely and flexibly.*
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 Outlier, a platform owned and operated by Scale AI, is looking for* English speakers* to contribute their expertise toward training and refining cutting-edge AI systems. If you're passionate about improving models and excited by the future of AI, this is your opportunity to make a real impact.
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 What You&rsquo;ll Do
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   *Adopt a &ldquo;user mindset&rdquo; *to produce natural* *data to meet the realistic needs* *you have or would use AI for.
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   *Evaluate AI outputs* by reviewing and ranking responses from large language models.
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   *Contribute across projects* depending on your specific skillset and experience.
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 </ul>
 What We&rsquo;re Looking For
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 <ul>
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   *Analytical and Problem-Solving Skills*: Ability to develop complex, professional-level prompts and evaluate nuanced AI reasoning.
  </li>
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   *Strong Writing*: Clear, concise, and engaging writing to explain decisions or critique responses.
  </li>
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   *Attention to Detail*: Commitment to accuracy and ability to assess technical aspects of model outputs.
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  </li>
 </ul>
 Nice to Have
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 <ul>
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   Experience in fields like literature, creative writing, history, philosophy, theology, etc.
  </li>
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   Prior writing or editorial experience (content strategist, technical writer, editor, etc.).
  </li>
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   Interest or background in AI, machine learning, or creative tech tools.
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  </li>
 </ul>
 Pay &amp; Logistics
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 <ul>
  <li>
   *Base Rate*: depending on location: US $16.07, GB &pound; 13.30 GBP, CA $20.50 CAD, AU $26.25 AUD, IE &euro;14.60 EUR, NZ $26.00 NZD
  </li>
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   *Bonuses*: Additional pay available based on project performance.
  </li>
  <li>
   *Type*: Freelance/1099 contract &mdash; not an internship.
  </li>
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   *Location*: 100% remote
  </li>
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   *Schedule*: Flexible hours &mdash; you choose when and how much to work.
  </li>
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   *Payouts*: Weekly via our secure platform.
  </li>
  <li>
   This is a freelance position that is paid on a per-hour basis.* We don&rsquo;t offer internships as this is a freelance role. You also must be authorized to work in your country of residence, and *we will not *be providing sponsorship since this is a 1099 contract opportunity. However, if you are an international student, you may be able to sign up if you are on a visa. You should contact your tax/immigration advisor with specific questions regarding your circumstances. We are unable to provide any documentation supporting employment at this time. Please be advised that compensation rates may differ for non-US locations.
  </li>
 </ul>
</div>


Freelance Content Writer

Overture Games

<p><b>AI Game Design Teacher, Greater Chicago Area, Part-time (Winter - Spring 2026)</b></p><p><b>Pay:</b> $70 per hour</p><p><b>Locations</b></p><ul><li>North Shore Suburbs: Lake Forest, Winnetka</li><li>Northwest Suburbs: Buffalo Grove</li><li>Southwest Suburbs: Downers Grove, Hinsdale</li><li>City of Chicago: Hyde Park, South Chicago</li></ul><p><b>Qualifications</b></p><ul><li>Must pass standard background checks for working with children</li><li>Must have a car (or reliable transportation to get to schools/community centers)</li><li>Must be available at least <b>3 days/week</b> between <b>2pm&ndash;6pm</b></li><li>Experience working with children in a group/classroom/camp environment</li><li>Can travel to schools and community centers in Chicago + surrounding suburbs</li><li>Comfortable using technology in the classroom (laptop, projector, basic web tools)</li></ul><p><b>Why join Overture?</b></p><p>At <b>Overture Games</b>, we&rsquo;re on a mission to help kids become creators through social, game-based, in-person experiences.</p><p>This winter we&rsquo;re expanding our AI Game Design program, <b>Create New Worlds</b>, because we&rsquo;ve seen strong demand from families. Our team started three years ago when our founders met at Northwestern University. We&rsquo;ve grown quickly, raised investment to build our own game technology, and we&rsquo;re building the future of creative learning&mdash;music, games, and now AI literacy. <b>Ready to help kids build worlds (and learn AI safely)?</b></p><p><b>Benefits</b></p><ul><li><b>Flexible Hours:</b> 2&ndash;10 hours/week. Choose your days within after-school hours (3:00pm&ndash;5:00pm).</li><li><b>Impact:</b> Help kids build real-world skills: creative thinking, writing, problem solving, digital literacy, and AI ethics.</li><li><b>Competitive Compensation:</b> $70/hr + bonus opportunities</li><li><b>Professional Development:</b> Training + ongoing support. Learn a modern creative-tech curriculum you can grow with.</li></ul><p><b>Responsibilities</b></p><p>1) Teach &ldquo;Create New Worlds&rdquo; classes for children</p><ul><li>Deliver engaging lessons to <b>5&ndash;12 students</b> (roughly ages <b>8&ndash;14</b>, varies by site)</li><li>Lead a high-energy, hands-on program centered on:</li></ul><p><b>Storytelling + world-building</b><br/><b>Game design thinking</b> (characters, mechanics, missions, maps, rules)<br/><b>AI literacy + AI safety</b> (age-appropriate, teacher-supervised)</p><p>2) Facilitate, adapt, and give feedback</p><ul><li>Keep students engaged and collaborating (this is interactive, not lecture-based)</li><li>Problem-solve in the classroom and provide fast feedback to improve the program</li></ul><p>3) Come prepared</p><ul><li>Review our lesson plans and tools (provided)</li><li>Use our classroom tech stack (web tools + curriculum) to run smooth sessions</li></ul><p>4) Participate in training</p><ul><li>Complete onboarding + training sessions before leading classes</li><li>Join periodic coaching/check-ins as we scale</li></ul><p><b>What We&rsquo;re Looking For</b></p><ul><li><b>Curiosity about creative tech</b> (AI, games, storytelling, design&mdash;even if you&rsquo;re new)</li><li><b>Always learning</b> and open to feedback</li><li><b>Enjoys working with kids</b> and can lead a group confidently</li><li><b>Great communicator</b> with students and parents</li><li><b>High-energy facilitator</b> who can turn a room into a creative studio fast</li></ul><p><b>Extra Credit</b></p><ul><li>Classroom management experience</li><li>Background in any of: group teaching, camp counseling, youth mentorship</li><li>Interest in writing, art, game design, robotics, STEM/STEAM</li><li>Experience working at schools, after-school programs, or community centers</li></ul><p>Job Types: Part-time, Contract</p><p>Pay: From $70.00 per hour</p><p>Benefits:</p><ul><li>Employee discount</li><li>Flexible schedule</li><li>Paid training</li><li>Professional development assistance</li><li>Referral program</li></ul><p>Application Question(s):</p><ul><li>Please apply directly on our company website: https://www.overture.games/jobs</li></ul><p>Work Location: In person</p>

AI Game Design Teacher

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>
Huron is a global consultancy that collaborates with clients to drive strategic growth, ignite innovation, and navigate constant change. We're seeking a Data Engineering Manager to join the Data Science &amp; Machine Learning team in our Commercial Digital practice, where you'll lead the design, development, and delivery of data infrastructure that powers intelligent systems across Financial Services, Manufacturing, Energy &amp; Utilities, and other commercial industries.<br>
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Managers play a vibrant, integral role at Huron. Their invaluable knowledge reflects in the projects they manage and the teams they lead. Known for building long-standing partnerships with clients, they collaborate with colleagues to solve their most important challenges. Our Managers also spend significant time mentoring junior staff on the engagement team&mdash;sharing expertise, feedback, and encouragement. This promotes a culture of respect, unity, collaboration, and personal achievement.<br>
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This isn't a maintenance role or a ticket queue&mdash;you'll own the full data lifecycle from source integration through analytics-ready delivery, while leading and developing a team of data engineers. You'll build systems that matter: real-time data architectures that feed mission-critical ML models, transformation layers that turn messy enterprise data into trusted datasets, and orchestration systems that ensure reliability at scale. Our clients are Fortune 500 companies looking for partners who can engineer and lead, not just advise.<br>
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The variety is real. In your first year, you might lead a lakehouse implementation for a global manufacturer's IoT data, oversee a real-time streaming architecture for a financial services firm's trading analytics, and architect a data mesh strategy for a utility company's distribution systems&mdash;all while developing the next generation of data engineering talent at Huron. If you thrive on solving complex data challenges, shipping production systems, and building high-performing teams, this role is for you.<div></div><div>
What You'll Do</div><ul><li>
Lead and mentor junior data engineers&mdash;provide technical guidance, conduct code reviews, and support professional development. Foster a culture of continuous learning and high-quality engineering practices within the team.</li><li>
Manage complex multi-workstream data engineering projects&mdash;oversee project planning, resource allocation, and delivery timelines. Ensure projects meet quality standards and client expectations while maintaining technical excellence.</li><li>
Design and architect end-to-end data solutions&mdash;from source extraction and ingestion through transformation, quality validation, and delivery. Make key technical decisions and own the overall data architecture.</li><li>
Lead development of modern data transformation layers using dbt&mdash;implementing modular SQL models, testing frameworks, documentation, and CI/CD practices that ensure data quality and maintainability at scale.</li><li>
Architect lakehouse solutions using open table formats (Delta Lake, Apache Iceberg) on Microsoft Fabric, Snowflake, and Databricks&mdash;designing schemas, optimizing performance, and implementing governance frameworks.</li><li>
Establish DataOps best practices&mdash;define and implement CI/CD pipelines for data assets, data quality monitoring, observability, lineage tracking, and automated testing standards to ensure data infrastructure remains reliable in production.</li><li>
Serve as a trusted advisor to clients&mdash;build long-standing partnerships, understand business problems, translate data requirements into technical solutions, and communicate architecture decisions to both technical and executive audiences.</li><li>
Contribute to business development&mdash;participate in business development activities, develop reusable assets and methodologies, and help shape the technical direction of Huron's data engineering capabilities.</li></ul><div></div><div>
Required Qualifications</div><ul><li>
5+ years of hands-on experience building and deploying data pipelines in production&mdash;not just ad-hoc queries and exports. You've built ETL/ELT systems that run reliably, scale, and are maintained over time.</li><li>
Experience leading and developing technical teams&mdash;including coaching, mentorship, code review, and performance management. Demonstrated ability to build high-performing teams and develop junior talent.</li><li>
Strong SQL and Python programming skills with deep experience in PySpark for distributed data processing. SQL for analytics and data modeling; Python/PySpark for pipeline development and large-scale transformations.</li><li>
Experience building data pipelines that serve AI/ML systems, including feature engineering workflows, vector embeddings for retrieval-augmented generation (RAG), and data quality frameworks that ensure model reproducibility. Familiarity with emerging agent integration standards such as MCP (Model Context Protocol) and A2A (Agent-to-Agent), and the ability to design data services and APIs that can be discovered and consumed by autonomous AI agents.</li><li>
Experience with modern data transformation tools, dbt particularly. You understand modular SQL development, testing, documentation practices, and how to implement these at scale across teams.</li><li>
Experience with cloud data platforms and lakehouse architectures&mdash;Snowflake, Databricks, Microsoft Fabric, and familiarity with open table formats (Delta Lake, Apache Iceberg). We're platform-flexible but Microsoft-preferred.</li><li>
Proficiency with workflow orchestration tools such as Apache Airflow, Dagster, Prefect, or Microsoft Data Factory. You understand DAGs, scheduling, dependency management, and how to design reliable orchestration at scale.</li><li>
Solid foundation in data modeling concepts: dimensional modeling, data vault, normalization/denormalization, and understanding of when different approaches are appropriate for different use cases.</li><li>
Excellent communication and client management skills&mdash;ability to communicate technical concepts to non-technical stakeholders, lead client meetings, and build trusted relationships with executive audiences.</li><li>
Bachelor's degree in Computer Science, Engineering, Mathematics, or related technical field (or equivalent practical experience).</li><li>
Willingness to travel approximately 30% to client sites as needed.</li></ul><div></div><div>
Preferred Qualifications</div><ul><li>
Experience in Financial Services, Manufacturing, or Energy &amp; Utilities industries.</li><li>
Background in building data infrastructure for ML/AI systems&mdash;feature stores (Feast, Databricks Feature Store), training data pipelines, vector databases for RAG/LLM workloads, or model serving architectures.</li><li>
Experience with real-time and streaming data architectures using Kafka, Spark Streaming, Flink, or Azure Event Hubs, including CDC patterns for data synchronization.</li><li>
Familiarity with MCP (Model Context Protocol), A2A (Agent-to-Agent), or similar standards for AI system data integration.</li><li>
Experience with data quality and observability frameworks such as Great Expectations, Soda, Monte Carlo, or dbt tests at enterprise scale.</li><li>
Knowledge of data governance, cataloging, and lineage tools (Unity Catalog, Purview, Alation, or similar).</li><li>
Experience with high-performance Python data tools such as Polars or DuckDB for efficient data processing.</li><li>
Cloud certifications (Snowflake SnowPro, Databricks Data Engineer, Azure Data Engineer, or AWS Data Analytics).</li><li>
Consulting experience or demonstrated ability to work across multiple domains and adapt quickly to new problem spaces.</li><li>
Contributions to open-source data engineering projects or active participation in the dbt/data community.</li><li>
Master's degree or PhD in a technical field.</li></ul><div></div><div>
Why Huron</div><div>
Variety that accelerates your growth. In consulting, you'll work across industries and data architectures that would take a decade to encounter at a single company. Our Commercial segment spans Financial Services, Manufacturing, Energy &amp; Utilities, and more&mdash;each engagement is a new data ecosystem to master and a new platform to ship.</div><div>
Impact you can measure. Our clients are Fortune 500 companies making significant investments in data infrastructure. The pipelines you build will power real decisions&mdash;the ML models that drive production schedules, the dashboards that inform pricing strategies, the data products that enable self-service analytics. You'll see your work become the foundation others build on.</div><div>
A team that builds. Huron's Data Science &amp; Machine Learning team is a close-knit group of practitioners, not just advisors. We write code, build pipelines, and deploy platforms. You'll work alongside engineers and data scientists who understand the craft and push each other to improve.</div><div>
Investment in your development. We provide resources for continuous learning, conference attendance, and certification. As our DSML practice grows, there's significant opportunity to take on technical leadership, shape our capabilities, and advance to senior leadership roles.</div><div></div><div>
Position Level</div>
Manager<div></div><div>
Country</div>
United States of America</div>

Data Engineer (Manager)

Outlier AI

<div>
 Join a global community of talented professionals to shape the future of AI. Earn up to $15 USD/hr and additional rewards based on quality of submission.
 <br/>
 <br/>
 Outlier is committed to improving the intelligence &amp; safety of AI models.
 <strong>
  Owned and operated by Scale AI
 </strong>
 , we've recently been featured in Forbes for partnering experts with top AI labs to provide the high quality data for LLMs. We believe AI can only perform as well as the data it's trained on. That's why
 <strong>
  we work with contributors from all over the world
 </strong>
 , who help
 <strong>
  improve AI models by providing expert human feedback
 </strong>
 . This data has
 <strong>
  led to AI advancements for the world's leading AI labs
 </strong>
 and large language model builders.
 <br/>
 <br/>
 We've built a
 <strong>
  best-in-class remote work platform for our freelance contributors
 </strong>
 to provide valuable, specialized skills, and we in turn strive to provide them with a positive experience based on our core pillars of reliability, transparency, and flexibility.
 <br/>
 <br/>
 <strong>
  What You Will Be Doing
  <br/>
  <br/>
 </strong>
 <strong>
  We are looking for someone who speaks fluent English to contribute their expertise toward training and refining cutting-edge AI systems.
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Adopt a "user mindset" to produce natural data to meet the realistic needs you have or would use AI for.
  </li>
  <li>
   Use the tool of rubrics to address user needs in a structured way.
  </li>
  <li>
   Evaluate AI outputs by reviewing and ranking reasoning and problem-solving responses from large language models.
  </li>
  <li>
   Contribute across projects depending on your specific skillset and experience.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  What We're Looking For
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   EducationBachelor's degree or higher (or currently enrolled).
  </li>
  <li>
   Analytical and Problem-Solving SkillsAbility to develop complex, professional-level prompts and evaluate nuanced AI reasoning.
  </li>
  <li>
   Strong WritingClear, concise, and engaging writing to explain decisions or critique responses.
  </li>
  <li>
   Attention to DetailCommitment to accuracy and ability to assess technical aspects of model outputs.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Nice to Haves:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Experience in fields like literature, creative writing, history, philosophy, theology, etc.
  </li>
  <li>
   Prior writing or editorial experience (content strategist, technical writer, editor, etc.).
  </li>
  <li>
   Interest or background in AI, machine learning, or creative tech tools.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Compensation And Benefits
  <br/>
  <br/>
 </strong>
 Earn up to $15 USD/hr, paid out weekly
 <br/>
 <br/>
 Rates vary based on quality, accuracy, and time spent. Paid via PayPal &amp; AirTM
 <br/>
 <br/>
 <strong>
  Free access to
  <br/>
  <br/>
  Model Playground
  <br/>
  <br/>
 </strong>
 Interact, experiment and engage with leading large language models free of cost
 <br/>
 <br/>
 <strong>
  Flexible schedule and
  <br/>
  <br/>
  time commitment
  <br/>
  <br/>
 </strong>
 No contracts, no 9-to-5. You control your schedule. (Most experts spend 5-10 hours/week, up to 40 hours working from home
 <br/>
 <br/>
 <strong>
  Join a global community of
  <br/>
  <br/>
  Coding experts
  <br/>
  <br/>
 </strong>
 Join a global network of experts contributing to advanced AI tools
 <br/>
 <br/>
 <strong>
  Disclaimer:
 </strong>
 For non-core work, such as during initial project onboarding or project overtime phases, lower rates may apply. Certain projects offer incentive payments. Please review the payment terms for each project.
 <br/>
 <br/>
 <strong>
  Equal Opportunity Employer:
 </strong>
 Outlier is committed to fostering a diverse and inclusive work environment. We welcome applicants from all backgrounds and celebrate diversity in our workforce.
</div>


HR Assistant (Remote)

<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>
Huron is a global consultancy that collaborates with clients to drive strategic growth, ignite innovation, and navigate constant change. We're seeking a Data Scientist to join the Data Science &amp; Machine Learning team in our Commercial Digital practice, where you'll conduct advanced analytics and build predictive models that transform how Fortune 500 companies make decisions across Financial Services, Manufacturing, Energy &amp; Utilities, and other commercial industries.<br>
<br>
This isn't a reporting role or a dashboard factory&mdash;you'll own the full analytics lifecycle from hypothesis formulation through insight delivery. You'll work on problems that matter: experimental designs that validate business strategies, predictive models that surface hidden patterns in complex data, and analytical workflows that extract signal from unstructured text, images, and time-series. Our clients are Fortune 500 companies looking for partners who can find the signal in the noise and tell the story that drives action.<br>
<br>
The variety is real. In your first year, you might conduct customer segmentation and lifetime value analysis for a financial services firm, design and analyze a pricing experiment for a global manufacturer, and build an anomaly detection model for a utility company's operational data. If you thrive on rigorous analysis, clear communication of complex findings, and rapid iteration, this role is for you.<div></div><div>
What You'll Do</div><ul><li>
Design and execute end-to-end data science workflows&mdash;from problem framing and hypothesis development through exploratory analysis, modeling, validation, and insight delivery. Own the analytical approach and ensure conclusions are defensible.</li><li>
Develop both traditional statistical and modern AI-powered analyses&mdash;including regression, classification, clustering, causal inference, A/B testing, and modern deep learning approaches using embeddings, transformer architectures, and foundation models for text, time-series, and multimodal analysis.</li><li>
Build predictive and prescriptive models that drive business decisions&mdash;customer segmentation, churn prediction, demand forecasting, pricing optimization, risk scoring, and operational efficiency analysis for commercial enterprises.</li><li>
Rapidly build interactive data stories and applications&mdash;deliver insights through compelling visualizations and user-friendly interfaces that stakeholders can explore.</li><li>
Translate complex analytical findings into actionable insights&mdash;create compelling data narratives, develop presentation-ready deliverables, and communicate technical results to non-technical stakeholders in ways that drive decisions.</li><li>
Collaborate directly with clients and senior team members&mdash;understand business problems, formulate the right analytical questions, and contribute to insights that create measurable value.</li></ul><div></div><div>
Required Qualifications</div><ul><li>
2+ years of hands-on experience conducting data science and advanced analytics&mdash;not just ad-hoc analysis, but structured analytical projects that drove business decisions. You've framed problems, developed hypotheses, analyzed data, and delivered insights that created measurable impact.</li><li>
Strong Python and SQL programming skills with deep experience in the data science ecosystem (Pandas, NumPy, Scikit-learn, statsmodels, visualization libraries). Comfortable writing clean, reproducible code, not just notebooks.</li><li>
Solid foundation in statistics and machine learning: hypothesis testing, regression analysis, classification, clustering, experimental design, and understanding of when different approaches are appropriate for different questions.</li><li>
Experience with deep learning and modern neural architectures&mdash;understanding of transformer models, embeddings, and how to leverage foundation models for analytical tasks. You know when ML approaches add value over classical methods.</li><li>
Proficiency with data platforms: Microsoft Fabric, Snowflake, Databricks, or similar cloud analytics environments. You're comfortable working with large datasets and can write efficient queries.</li><li>
Strong visualization and rapid data application development skills&mdash;proficiency with programmatic visualization libraries (Plotly, Altair) and AI-assisted rapid application development using Cursor, Lovable, v0, or similar tools. You can quickly build interactive data interfaces that bring analyses to life.</li><li>
Ability to communicate technical concepts to non-technical stakeholders and work effectively with cross-functional teams. Strong data storytelling skills are essential.</li><li>
Bachelor's degree in Statistics, Mathematics, Economics, Computer Science, or related quantitative field (or equivalent practical experience).</li><li>
Willingness to travel approximately 30% to client sites as needed.</li></ul><div></div><div>
Preferred Qualifications</div><ul><li>
Experience in Financial Services, Manufacturing, or Energy &amp; Utilities industries.</li><li>
Background in experimental design, A/B testing, and causal inference methodologies&mdash;including propensity score matching, difference-in-differences, or instrumental variables.</li><li>
Hands-on experience with deep learning frameworks (PyTorch, TensorFlow) and neural architectures&mdash;including transformers, attention mechanisms, and fine-tuning pretrained models for NLP, time-series, or tabular data applications.</li><li>
Experience building AI-assisted analytical workflows&mdash;leveraging foundation model APIs, vector databases, and retrieval systems to accelerate insight extraction from unstructured data.</li><li>
Experience with Bayesian methods, probabilistic programming (PyMC, NumPyro), or uncertainty quantification in business contexts.</li><li>
Experience with time-series analysis, forecasting methods (ARIMA, Prophet, neural forecasting), and demand planning applications.</li><li>
Cloud certifications (Azure Data Scientist, Databricks ML Associate, AWS ML Specialty).</li><li>
Consulting experience or demonstrated ability to work across multiple domains and adapt quickly to new problem spaces.</li><li>
Master's degree or PhD in Statistics, Applied Mathematics, Economics, or related quantitative field.</li></ul><div></div><div>
Why Huron</div><div>
Variety that accelerates your growth. In consulting, you'll work across industries and analytical challenges that would take a decade to encounter at a single company. Our Commercial segment spans Financial Services, Manufacturing, Energy &amp; Utilities, and more&mdash;each engagement is a new domain to master and a new problem to crack.</div><div>
Impact you can measure. Our clients are Fortune 500 companies making significant investments in analytics and AI. The insights you generate will inform real decisions&mdash;pricing strategies, customer segmentation, operational improvements, strategic investments. You'll see your analysis drive outcomes.</div><div>
A team that thinks deeply. Huron's Data Science &amp; Machine Learning team is a close-knit group of practitioners, not just advisors. We develop hypotheses, analyze data, and deliver insights that hold up to scrutiny. You'll work alongside data scientists and engineers who care about getting the answer right and telling the story clearly.</div><div>
Investment in your development. We provide resources for continuous learning, conference attendance, and certification. As our DSML practice grows, there's significant opportunity to take on technical leadership, shape our capabilities, and advance to senior roles.</div><div></div><div>
Position Level</div>
Associate<div></div><div>
Country</div>
United States of America</div>

Data Scientist (Associate)

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