ai/ml engineer (senior associate) - remote

ai engineer

ai/machine learning data engineer Jobs in Chicago

ai/machine learning data engineer

ai/ml engineer (senior associate) - remote Jobs in Chicago

applied ai/ml - senior associate Jobs in Chicago

applied ai/ml - senior associate

customer success engineer Jobs in Chicago

customer success engineer

machine learning engineer

Emonics LLC

<div>
 <p>
  Job Overview:
 </p>
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  Seeking a driven ML Engineer to support predictive modeling and automation initiatives.
 </p>
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 </p>
 <p>
  Responsibilities:
 </p>
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 </p>
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  Train and evaluate ML models
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 </p>
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  Perform data analysis and feature engineering
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  Support CI/CD for ML pipelines
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  Requirements:
 </p>
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  Bachelor&rsquo;s degree in technical field
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  Knowledge of ML frameworks
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  Strong coding skills
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Entry Level Machine Learning Engineer

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>
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</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>
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</div><div>Ready for a career path that&rsquo;s as unique as you? Discover your path at Acosta Group!</div><br>
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</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>
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</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>
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</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>
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</div><div>By applying, you agree to our Privacy Policy and Terms and Conditions of Use.</div><br>
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</div><div><b>#DiscoverYourPath</b></div></div>

AI/Machine Learning Data Engineer

Huron Consulting Group

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

AI/ML Engineer (Senior Associate) - Remote

QuantumBlack, AI by McKinsey

<div>
 <strong>
  Who You'll Work With
  <br/>
  <br/>
 </strong>
 Driving lasting impact and building long-term capabilities with our clients is not easy work. You are the kind of person who thrives in a high performance/high reward culture - doing hard things, picking yourself up when you stumble, and having the resilience to try another way forward.
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 In return for your drive, determination, and curiosity, we'll provide the resources, mentorship, and opportunities you need to become a stronger leader faster than you ever thought possible. Your colleagues&mdash;at all levels&mdash;will invest deeply in your development, just as much as they invest in delivering exceptional results for clients. Every day, you'll receive apprenticeship, coaching, and exposure that will accelerate your growth in ways you won&rsquo;t find anywhere else.
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 When you join us, you will have:
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 <ul>
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   Continuous learning: Our learning and apprenticeship culture, backed by structured programs, is all about helping you grow while creating an environment where feedback is clear, actionable, and focused on your development. The real magic happens when you take the input from others to heart and embrace the fast-paced learning experience, owning your journey.
  </li>
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   A voice that matters: From day one, we value your ideas and contributions. You&rsquo;ll make a tangible impact by offering innovative ideas and practical solutions, all while upholding our unwavering commitment to ethics and integrity. We not only encourage diverse perspectives, but they are critical in driving us toward the best possible outcomes.
  </li>
  <li>
   Global community: With colleagues across 65+ countries and over 100 different nationalities, our firm&rsquo;s diversity fuels creativity and helps us come up with the best solutions for our clients. Plus, you&rsquo;ll have the opportunity to learn from exceptional colleagues with diverse backgrounds and experiences.
  </li>
  <li>
   World-class benefits: On top of a competitive salary (based on your location, experience, and skills), we provide a comprehensive benefits package to enable holistic well-being for you and your family.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Your Impact
  <br/>
  <br/>
 </strong>
 As a Data Scientist II, you will collaborate with clients and interdisciplinary teams to understand client needs, develop impactful advanced analytics and AI solutions, optimize code, and solve complex business challenges across industries.
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 <br/>
 You will grow your expertise by contributing to cutting-edge projects, R&amp;D, and global conferences while working alongside top-tier talent in a dynamic, innovative environment.
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 Your work will drive meaningful change. By uncovering patterns in data and delivering innovative solutions, you&rsquo;ll help clients stay competitive, transform operations, and achieve lasting improvements. Here&rsquo;s how you might contribute in a given year:
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 <br/>
 <ul>
  <li>
   Build a digital twin of a defense supply chain to enhance military hardware availability.
  </li>
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   Leverage agentic AI to improve customer service outcomes for a global travel company.
  </li>
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   Optimize the schedule and funding of a multi-billion-dollar capital project to accelerate delivery.
   <br/>
   <br/>
  </li>
 </ul>
 You&rsquo;ll contribute to projects across industries and data science expertise areas, eventually choosing your own path to build your expertise and skills. You should expect this role to include at least some work in critical industries (Aerospace, Defense, Utilities, Oil and Gas), but you will have the ability to serve other industries as well.
 <br/>
 <br/>
 Day to day, you&rsquo;ll tackle complex challenges in partnership with senior data scientists, engineers, designers, and domain experts. You will:
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 <br/>
 <ul>
  <li>
   Translate business questions into analytical approaches and select the right techniques for each problem
  </li>
  <li>
   Conduct exploratory data analysis
  </li>
  <li>
   Design, implement, and evaluate models&mdash;from traditional machine learning to deep learning to LLMs -- using rigorous metrics and A/B tests. When appropriate, you&rsquo;ll build production-grade RAG pipelines and assess LLM output quality / hallucinations
  </li>
  <li>
   Deploy models via APIs or batch pipelines, write unit tests, and set up monitoring dashboards to track performance and drift
  </li>
  <li>
   Document assumptions, communicate results in clear, actionable language, and collaborate with engineers to integrate solutions into user-facing applications.
  </li>
  <li>
   Build models which are accurate, explainable, and free from bias
  </li>
  <li>
   Optimize inference latency and cost through parameter-efficient tuning, quantization, and accelerated serving stacks
   <br/>
   <br/>
  </li>
 </ul>
 Additionally, you will contribute to internal tools, participate in R&amp;D projects, and have opportunities to attend and present at leading conferences like NIPS and ICML.
 <br/>
 <br/>
 You will be based in one of our North America locations and collaborate closely with data scientists, data engineers, machine-learning engineers, designers, and product managers around the world.
 <br/>
 <br/>
 <strong>
  Your Qualifications and Skills
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Bachelor&rsquo;s degree in computer science with 2+ years of professional experience OR Masters or PhD a discipline such as computer science, mathematics, statistics or electrical engineering
  </li>
  <li>
   Professional experience in applying machine learning and data mining techniques to real problems with copious amounts of data
  </li>
  <li>
   Development experience (focus on machine learning): SQL and Python&rsquo;s data-science stack; proficiency with Spark/PySpark for distributed workloads. We use the right tech for the task and often work within clients&rsquo; stacks. Technologies you may encounter include Airflow, Databricks, Dask/RAPIDS, containerization with Docker and Kubernetes, and the major clouds (AWS, GCP, Azure, Oracle)
  </li>
  <li>
   GenAI experience a plus: parameter-efficient tuning, RAG architectures, vector-store technologies, LLM evaluation
  </li>
  <li>
   Exceptional time management to meet your responsibilities in a complex and largely autonomous work environment
  </li>
  <li>
   Strong communication skills, both verbal and written, in English and local office language(s), with the ability to adjust your style to suit different perspectives and seniority levels
  </li>
  <li>
   Willingness to travel
  </li>
 </ul>
</div>


Data Scientist II - QuantumBlack, AI by McKinsey

Stratosys Technologies LLC

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

Lead Data Scientist

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

Chan Zuckerberg Initiative

<div><div><p>The Chan Zuckerberg Initiative was founded in 2015 by Priscilla Chan and Mark Zuckerberg to harness the power of technology to pursue some of society's most ambitious goals &mdash; from curing or preventing all disease to transforming how students learn.</p>
<p>
At CZI, you'll join a deeply collaborative, mission-driven community where your work helps drive breakthroughs across our flagship nonprofit organizations, Biohub and Learning Commons. Whether enabling scientific breakthroughs via open science and AI-powered biology or strengthening the tools teachers and students rely on every day, your contributions help turn bold ideas into real-world impact.</p>
<p>
Our teams operate at the intersection of innovation and scale, building the infrastructure, partnerships, and capabilities that allow scientists, educators, and innovators to tackle some of the most complex challenges of our time &mdash; and to do so with urgency, integrity, and optimism.</p></div><h2 class="jobSectionHeader"><b>
The Team</b></h2>
<p>
The Operations team is a key partner in enabling Biohub's pioneering work to combine frontier AI with frontier biology to solve disease and Learning Commons' mission to build AI infrastructure that aligns how students learn with the tools that shape their learning experiences.</p>
<p>
Operations includes our Central Tech, Finance, Marketing &amp; Communications, People, and Real Estate / Workplace / Events / Facilities / Security (REWFS) teams. Together, these teams create the systems, programs, and experiences that empower our partners and colleagues across Biohub and Learning Commons to drive impact.</p>
<p>
This work requires strategic and operational rigor, creativity, and deep collaboration. Whether designing world-class employee experiences, safeguarding data and infrastructure, or shaping how we communicate our impact, Operations plays a critical role in helping deliver meaningful change at scale</p>
<h2 class="jobSectionHeader"><b>
The Opportunity</b></h2>
<p>
The Staff Network Engineer will play a key role in designing, deploying, and managing critical network infrastructure that supports world-class science. This position offers an opportunity for a highly capable, self-motivated engineer to make meaningful contributions within a growing, privately-funded network of research institutes of national&mdash;and increasingly global&mdash;significance.</p>
<p>
The Staff Network Engineer will support the design, deployment, and ongoing management of wired and wireless network services across enterprise systems and foundational IT infrastructure at multiple sites. The role also supports on-premise and cloud-based High Performance Computing (HPC) environments optimized for life science research.</p>
<p>
This position requires deep expertise across a broad range of networking technologies, including routing and switching, firewalls, wireless, and optical networks. Core responsibilities include managing routers, switches, cable plants, and wireless infrastructure. The Senior Network Engineer will oversee installation, monitoring, maintenance, troubleshooting, and optimization of all wired and wireless network hardware, software, and communication links.</p>
<p>
The ideal candidate communicates clearly and effectively with end users, colleagues, leadership, and external partners. They bring strong problem-solving skills, follow through on technical challenges, and collaborate closely with IT engineers at all levels to meet the unique technology needs of CZI and the Chan Zuckerberg Biohub.</p>
<h2 class="jobSectionHeader"><b>
What You'll Do</b></h2>
<ul><li>Monitor, manage, and troubleshoot wired/wireless networks and services across local and remote sites.</li>
<li>Design, deploy, and maintain new network infrastructure at existing and future Biohub locations.</li>
<li>Collaborate with the Information Security team to secure network components, infrastructure, and connected devices.</li>
<li>Provide advanced support, including second-level help desk escalation and troubleshooting complex cross-functional issues.</li>
<li>Apply security patches, upgrades, and configuration changes in line with change management policies.</li>
<li>Perform ongoing system and network maintenance, with occasional travel as required.</li>
</ul><h2 class="jobSectionHeader"><b>What You'll Bring</b></h2>
<ul><li>8 years of professional networking experience with strong skills in installing, configuring, and maintaining network equipment (including, but not limited to, Juniper switches/routers).</li>
<li>Expertise in next-generation firewalls, security protocols, and core networking services (DNS, DHCP, BGP, OSPF).</li>
<li>Hands-on experience with wireless networking, including configuration, optimization, AP placement, and performance tuning.</li>
<li>Strong troubleshooting abilities, with proven success diagnosing and resolving complex network and system issues.</li>
<li>Proficiency in UNIX system administration, change management practices, and patch cycles.</li>
<li>Familiarity with physical networking (cabling, connectors, transceivers) and use of monitoring tools to ensure performance and reliability.</li>
<li>Excellent communication and documentation skills, with the ability to collaborate across technical and non-technical teams while managing multiple priorities.</li>
<li>Preferred: experience in research or HPC environments, automation/Infrastructure-as-Code, Palo Alto Networks, and Infiniband networking.</li>
</ul><h2 class="jobSectionHeader"><b>Compensation</b></h2>
<p>
The Chicago, IL base pay range for a new hire in this role is $130,000 -$178,200. New hires are typically hired into the lower portion of the range, enabling employee growth in the range over time. Actual placement in range is based on job-related skills and experience, as evaluated throughout the interview process.</p>
<h2 class="jobSectionHeader"><b>
Better Together</b></h2>
<p>
As we grow, we're excited to strengthen in-person connections and cultivate a collaborative, team-oriented environment. This role is a hybrid position requiring you to be onsite for at least 60% of the working month, approximately 3 days a week, with specific in-office days determined by the team's manager. The exact schedule will be at the hiring manager's discretion and communicated during the interview process.</p>
<h2 class="jobSectionHeader"><b>
Benefits for the Whole You</b></h2>
<p>
We're thankful to have an incredible team behind our work. To honor their commitment, we offer a wide range of benefits to support the people who make all we do possible.</p>
<ul>
<li>Provides a generous employer match on employee 401(k) contributions to support planning for the future.</li>
<li>Paid time off to volunteer at an organization of your choice.</li>
<li>Funding for select family-forming benefits.</li>
<li>Relocation support for employees who need assistance moving</li>
</ul>
<p>If you're interested in a role but your previous experience doesn't perfectly align with each qualification in the job description, we still encourage you to apply as you may be the perfect fit for this or another role.</p>
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#LI-Hybrid</p></div><div></div>

Staff Network Engineer, Infrastructure, Central Tech

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